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Dr Yazdan Shirmohammadi, Mr Qasem Aryafard,
Volume 10, Issue 3 (11-2023)
Volume 10, Issue 3 (11-2023)
Abstract
purpose: The mobile application market is expanding rapidly. Furthermore, a new form of online-to-offline services available in mobile shopping apps, which help users instantly search for what they want online, try them on in nearby offline stores, and pay online, increasingly becomes popular. As technology is developing rapidly and the smartphone has become an essential part of our daily life, the smartphone is a versatile tool that can perform many functions. Shopping also changes its process from offline to online and is based on mobile. With the increase in the use of the Internet from smartphones, most of the Internet consumption is done through smartphones and not through personal computers as in the past (Kim et al., 2021). In recent years, online to offline has emerged as a new e-commerce model that differs from traditional e-commerce models. In this model, consumers can obtain information, access products through an online channel, and then consume them in offline stores. The rapid development of the online to offline model has led to the rise of online tourism platforms. Some tour operators choose to cooperate with online tourism platforms to sell tourism products with the aim of expanding market demand. In the case of the online-to-offline tourism supply chain, the tourism platform sells its product online and the tour operator provides the service offline. Through division of labor and cooperation, both of them can focus on applying their respective advantages to achieve a win-win situation. With the online-to-offline tourism model, consumers can book tourism products through an online platform anytime, anywhere. Before making a final decision, consumers often review the information displayed on the web page of online tourism platforms, especially the available reviews (Luca and Zervas, 2016, as cited in Zhou et al., 2022). Tourists can gather online information about price, service level, and product quality to make better purchase decisions. This has created many opportunities as well as severe challenges for the survival and growth of tourism-related companies (He et al.,2019). Companies providing online to offline services recognize smartphones as a useful communication channel for strategic marketing, and therefore they are willing to use smartphones to provide various services and types of information directly to customers and constantly reflect their needs (Fuentes & Svingstedt, 2017). Since the online platform is data controlled, so that the information is asymmetric, there will be problems such as fake reviews, rating fraud, false advertising, etc. This phenomenon puts consumers in an unfavorable information situation. According to the "Online Tourism Consumption Trend Report and Consumer Rights Protection Trend Report (2019)", the problems of online tourism platforms are mainly focused on ten aspects, including information leakage, false advertising, tourism products with big data analysis to harm Existing consumer income and data fraud investigation (Zhou et al., 2022). These problems not only affect consumers' tourism experience and reduce consumer satisfaction, but also damage the credibility of the tourism platform and weaken consumers' trust in the platform. Therefore, privacy protection is an important problem in this field. Since online to offline applications in tourism is an emerging and practical issue, it is very important to investigate this issue in our country. Previous studies have largely ignored service quality evaluation and decision-making by traditional travel agencies, hotels, and airlines. Although the importance of service quality in tourism firm development has been demonstrated by some researchers, few have studied the benefits of service quality from online tourism supply chains to offline hospitality and tourism fields for tourists. Also, in the researcher's point of view, the features of mobile shopping applications that are based on online to offline services are questionable as to what features affect the delight and satisfaction of tourists and lead to the brand's reputation. Meanwhile, the influence of the information quality (including the intrinsic information quality and the textual information quality) and the services quality (including the convenient services quality and the accessible services quality) perceived from online to offline mobile shopping applications on the delight of tourists and the reputation of the tourism brand is questionable. The researcher thought that it was not investigated in the previous research and the researcher investigated these issues in this research.
Methodology:Considering that tourism and hotel businesses can easily use online to offline tourism platforms by applying the results of this research to have satisfied and loyal customers, this research is applied in terms of purpose. On the other hand, in this research, the type of relationship and the degree of influence of the variables were described, so the method of doing the work is descriptive and correlational. In fact, the impact of information and service quality on privacy protection, delight, and reputation of tourism brands in mobile shopping applications based on online to offline (O2O) is investigated. A quantitative method was also used to collect data. The statistical population of this research is European tourists who traveled to Iran. Since the target population is unlimited and its exact size is not available, according to Cochran's formula for the unlimited population, 384 people are considered for the sample size. The convenient non-randomly sampling method is a suitable method for sampling. The collection of information takes place in two stages: library and field. By referring to reliable databases, the researcher examines scientific articles, books, dissertations, and theses to prepare the theoretical foundations of his subject. Then, a questionnaire is used to collect the data required by the researcher in the field and survey method. The questionnaire was made by the researcher. The questionnaire includes five demographic questions (gender, age, marital status, education, employment status). 39 items were designed to answer the research questions, which are analyzed with a Likert scale. In the inferential findings section, the pairwise relationships of the variables were evaluated with Pearson correlation test and the conceptual model of the research was tested with structural equation modeling test with AMOS software. Also, mediation relationships were tested using the Sobel method.
Findings: The online-to-offline service platform channels provide tourists with innovative tools to get service information, order travel package online (via apps) and check-in offline almost instantly. The main purpose of this research is to discover the effect of information quality (including intrinsic information quality and contextual information quality) and service quality (including convenient service quality and accessible service quality) perceived from online to offline based mobile shopping applications with perceived privacy protection on the delight of tourists and the reputation of the tourism brand. The findings indicated that the information quality (including the intrinsic information quality and the textual information quality) and the quality of services (including the convenient services quality and the accessible services quality) perceived from online to offline mobile shopping applications with the protection of privacy perceived on the delight of tourists and tourism brand reputation is effective and all hypotheses were confirmed.
Conclusion:In today's world, searching for information online is very important and common for tourists to make decisions. In recent years, online to offline has been used as a new e-commerce model. This research shows that all dimensions of a mobile phone shopping application, such as the information and services quality provided, privacy protection, are effective on delight of tourists and ultimately the brand's reputation. In fact, considering the wide importance of information needed by tourists, the validity of this information, considering the quality of intrinsic and textual information in applications is very important and effective. On the other hand, the quality of the services provided in these types of applications, easier access and their appropriateness are also factors that should be considered in this type of shopping applications. On the other hand, the higher the quality of information and services, the more the privacy of people in the online world is preserved and the delight of tourists increases. This delight of tourists also improves and increases the reputation of the attitudinal and behavioral brand.
This study investigates the impact of information quality including (intrinsic information quality and contextual information quality) and service quality (including the intrinsic information quality and the textual information quality) perceived from online to offline mobile shopping applications on delight of tourists and the behavioral and attitudinal reputation of the tourism brand. For this reason, the research model of Kim et al. (2021) is used, which was added to it with the researcher's innovation of the brand reputation variable. The results showed that the information quality intrinsic information quality and contextual information quality) and service quality (including the intrinsic information quality and the textual information quality) perceived from online to offline mobile shopping applications are effective on the delight of tourists and the behavioral and attitudinal reputation of the tourism brand. This research concludes that the quality of information provided in mobile shopping applications is important for tourists, especially European tourists in Iran. The quality of intrinsic information and the quality of textual information significantly affect tourists' perception of information quality, and this quality of information has an effect on the delight of tourist. Therefore, tourism industry managers should describe their products and services with detailed and accurate information. When providing it in mobile shopping applications, such as online-to-offline platforms, since the accuracy of information is a key feature of inherent information quality, practitioners in this industry must also thoroughly ensure that the data provided is up-to-date and reflect consumption transactions. Also, the results showed that convenience and high accessibility positively increase the perceived service quality of online to offline platforms. Based on this, tourism industry managers should create easier access for services. In particular, since new phone models are released frequently nowadays, mobile shopping applications must have compatible payment systems to remove barriers to tourists' purchases. Therefore, according to the available results, it is only in this case that mobile shopping applications can have high accessibility and convenience to affect the quality of mobile shopping application services. Another thing that was investigated in this research was the protection of privacy. The results show that privacy protection is a very important factor in creating the delight of tourists, this issue is observed in all the countries of the world that have achieved the technology of mobile shopping applications. Unfortunately, today, some technological advances endanger their privacy from the point of view of customers. For example, CCTV cameras, which are in most tourist places and should protect the safety of tourists, can violate their privacy, or artificial intelligence, which has many capabilities, in the view of some people, spies on their information and violates their privacy rights. Therefore, in the researcher's point of view, despite this level of concern in the world, tourists in our country also have concerns about privacy and take into account the care of their privacy when evaluating the quality of online services. As discussed in this study, managers should be confident that their security systems do not violate tourists' privacy to directly contribute to delight of tourist and brand reputation. Based on the results, it can be suggested that high-quality information helps customers who want to effectively find information on a specific topic and helps customers avoid unnecessary efforts to process useless information. Therefore, providing high-quality information can increase the delight of tourist. Tourism booking and review websites need to improve their entertainment element and create a more interactive and interesting experience for those browsing them. The information provided by the websites must be useful and up-to-date, match the needs of the user and provide links to other websites relevant to these users. By informing tourists about developments, sales plans, product updates and any other content they may find interesting and relevant, it helps to improve delight of tourists and ultimately brand reputation. Also, when tourists have a problem, they can be assured that they can talk to a genuine, caring and ideal person in person or on the phone. Even in the digital world, people like to connect with others. Since this research has a new topic in the field of technology in tourism, the researcher recommends that in future researches, this topic should be investigated with other statistical communities such as local tourists, international tourists, specific hotel guests and other sectors.
Aghdas Soleimani, Zohre Kazemi, Mohammad Aghaei, Zahra Ghorbani,
Volume 10, Issue 3 (11-2023)
Volume 10, Issue 3 (11-2023)
Abstract
Purpose: Today, internet-based technologies have brought new transformations to human life. Customers are able to compare products offered by sellers around the world to buy their online products. On the one hand, the widespread use of these technologies provides benefits for online companies that are constantly increasing. The importance of this issue is felt when there is a lot of competition between a large number of similar companies with different types of services. Now, companies are using social media technologies to advertise information about their brands. Social media are a good option for accessing and collecting information from other consumers. These media are widely used for social media marketing and provide various methods for marketers to reach and interact with consumers. Social media marketing refers to "the use of social media technologies, channels, and software to create, deliver, exchange, and provide offerings that have value for the stakeholders of an organization." Online marketing activities lead to the development of knowledge among users, empowering users from predictions about their future businesses, monitoring customer behavior through changes in the content produced, attracting new customers, increasing sales, and fast use and saving time. The goal of social media marketing is to help companies increase market share and customer purchase intention. Today, social media marketing plays a fundamental role in influencing purchase intent due to its ubiquity among consumers. These platforms provide essential information that guides purchase decisions and simplifies decision-making. Purchase intention is an activity in which consumers consider purchasing a product or a service. Purchase intention is the likelihood that a consumer will continue to purchase in the future. Consumer purchase intention can be influenced through the sharing of information or engagement in conversations and comments from other consumers. A strong presence on social media significantly affects purchase intention and builds customer trust. On the other hand, marketers consider brand trust as an important and relevant concept to purchase intention. Brand trust is defined as the willingness of consumers to rely on the power of the brand to fulfill the stated goal and the belief that the brand has the ability to deliver the promised benefits. Studies that have been conducted in the past have stated that brand trust is a precursor to purchase intention. Sung & Kim (2010) and Ellitan, Havina & Lukito (2022) believe that brand trust is considered as a variable that has a significant impact on purchase intention. For many years, brand attitude has been an important topic of research in marketing. Therefore, marketers consider it the most important predictor of consumer behavior towards a product or service. Basically, brand attitude refers to the consistent preference of consumers towards a specific brand and the overall evaluation by the consumer towards the brand. Attitude towards an object (including a brand) includes salient beliefs that are acquired through experience and can fluctuate positively or negatively as a function of past experiences. A favorable attitude towards a brand increases the likelihood of consumers continuing to use it in the future. Consumer attitude typically has a strong influence on their purchase intent. One of the growing global trends in Iran is the increasing demand for luxury goods. The luxury goods market has attracted the attention of researchers and marketing professionals due to its rising growth rate. In 2017, the global market for luxury fashion goods exceeded $1.2 trillion. It is expected that by 2030, approximately 500 million consumers will be luxury fashion customers. Research also shows that about 80% of the global luxury market is influenced by digital technology, and it is expected that online sales of luxury brands will reach 20% of total transactions by 2025. Many luxury brands now have official pages on social media platforms such as Facebook and Instagram, where they publish news about their products and brands. In Iran, luxury fashion brands are trying to achieve profitability by targeting a specific target group. Despite their significant activity on social media, these brands have not been successful in attracting customers through this channel. In addition to increased competition in the domestic market, the import of foreign brands with official dealerships or the entry of these brands and their original counterparts from unconventional channels are serious threats to the Iranian fashion market. Additionally, unofficial pages selling fashion products on social media or the sale of personal luxury products have made these items more accessible to interested individuals and made the competition more difficult. Despite the activities of luxury fashion brands on social media, these activities are not interactive and feedback is not received from customers about the products and services of these brands. As a result, these brands have not been successful in attracting customers, creating positive attitudes, and gaining their trust to the desired extent. Therefore, it is necessary to examine and identify the factors affecting the purchase intention of consumers of luxury clothing brands, including social media marketing, brand attitude, and brand trust, in order to help improve knowledge and improve planning in this field. Despite the importance and expansion of social media marketing in the country, not many studies have been conducted to identify the impact of social media marketing on purchase intention for luxury products. The researchers of this study, after reviewing the research background, found that the role of brand attitude and brand trust in the relationship between social media marketing and customer purchase intention has not been considered in both foreign and domestic research. Given the research gap in this area, the present study investigates the impact of social media marketing on the purchase intention of consumers of luxury clothing brands, taking into account the mediating role of brand trust and brand attitude, which has not been studied before.
Methodology: The present study has a quantitative approach and is applied in terms of purpose. In terms of nature and method of data collection, it is descriptive-survey. The statistical population of this study is all consumers of the luxury brands Paten Jama, Charm Mashhad, Salyan, Denis Trico, and Navin Charm in Iran, who follow the social media pages of these brands. The reason for choosing these brands is that they all have active representative pages on the social media platform Instagram. This is because it makes it possible to identify followers of these brands and people who are attached to these brands. Given the unlimited nature of the statistical population and the lack of access to the entire target population, the sample under study was taken using the available sampling method. In this way, the online questionnaire of the present study was shared with the followers of the Instagram pages of these brands. Due to the unknown size of the population, the sample size was estimated at 385 people using the Cochran formula.The questionnaire for the present study was prepared with 27 questions using a five-point Likert scale. A set of standard questionnaires from previous studies were used to measure the variables under study. The questions for the social media marketing variable were extracted from the standard questionnaire of Cheung, Pires & Rosenberger (2020), the questions related to purchase intention were extracted from the questionnaire of Lakshamana (2018), the questions for the brand attitude variable were extracted from the tool questionnaire of Qasemi and Vesta (2014), and the questions for the brand trust variable were extracted from the research questionnaire of Yazdani, Ronagh, Laqayi and Mostafshar (2019). In this study, the validity of the questionnaire was obtained through expert review. The questionnaire was sent to six experts and university professors who had at least five years of experience in the field of research, and after the necessary modifications, the validity of the questionnaire was confirmed. The reliability of the questionnaire was also obtained using the Cronbach's alpha coefficient. The questionnaire was distributed among 31 people, and a Cronbach's alpha coefficient of 92% indicates the appropriate reliability of the questionnaire. In this study, Amos software and path analysis method were used to analyze the relationships between dimensions and indicators.
Findings: Social media, as a powerful and successful marketing tool, helps companies to connect activities and interactions between consumers with the brand in a more enjoyable way than ever before. The purpose of this study is to investigate the impact of social media marketing on consumer purchases through brand trust and brand attitude. The findings indicated that social media marketing has a positive and significant effect on brand trust and brand attitude. In addition, brand trust and brand attitude have a positive and significant effect on consumers' purchase intention; Also, social media marketing affects purchase intention through brand trust and brand attitude.
Conclusion: Today, marketers are increasingly concerned with understanding how social media is used in the purchase decision process. Social media offers marketers numerous opportunities to connect with consumers and build more meaningful relationships with them. Social media also provides opportunities to create and share marketing content with target audiences. Social media users have an easier time making decisions and enjoying their work compared to those who use other information sources. In the luxury brand sector, social media also appears to play a key role in the success of a brand. Studies have shown that luxury brand marketing on social media has a positive impact on consumers' favorable perception of luxury, luxury desire, and purchase intention. This study investigated the application of the social media phenomenon in marketing. To this end, it conceptualized the use of social media in marketing and evaluated its impact on consumers' purchase intention of luxury brands with the mediating role of trust and brand attitude. The findings suggest that the use of social media improves consumers' attitude and trust during the initial stages of information search and alternative evaluation. In this study, 6 hypotheses were tested. The results of the first hypothesis showed that social media marketing has a positive and significant impact on consumers' trust in the brand. Social media marketing is considered an effective tool in developing customer relationships. In addition, these interactions create trust and reduce uncertainty that may prevent customers from interacting with brands and making online transactions. Therefore, the higher the quality and informativeness of a social media, the greater the consumer trust in a brand. This means that brand trust is influenced by social media marketing. The findings of this study support the results of previous research. For example, a study by Amalina & Tiarawati (2016) found that if social media marketing is managed effectively, brand trust increases. This is because the transfer of good information creates the perception that the brand can meet the needs of the consumer. Chahal & Rani (2017) also stated that social media experience is an important driver of trust in a particular brand. The existence of social media makes it easier for marketers to reach a wider range of consumers. The results of research by researchers such as Ibrahim (2020) and Behnardi & Rogers (2018) also confirm the positive impact of social media marketing on brand trust. The results obtained from the confirmation of hypothesis number 2 of this study show that social media marketing has a positive and significant impact on consumers' attitudes towards the brand. Social media marketing can be an effective tool for interacting with the community, providing information, and receiving feedback, which leads to increased brand attitude (Poluan, Pasuhuk & Mandagi, 2022). The result is consistent with the instrumental research of Qasemi and Vesta (2014). The third hypothesis investigated the direct effect of social media marketing on consumers' purchase intention, the result of which is in contrast to the findings of the studies of Laksamana (2018) and Alfilo Ansari (2019).The result obtained from the confirmation of the fourth hypothesis of the present study shows that consumer trust in the brand has a significant effect on consumer purchase intention. It can be interpreted that the level of trust in a brand is taken into account by consumers in decision-making for product purchase. Based on the theory of planned behavior, the control belief of a decision relates to the activities that have been carried out, so this can be affected by brand trust because, according to Delgado-Ballester et al. (2003), brand trust includes hope, honesty, and concern. Expectations refer to promises that must be fulfilled in connection with consumers. Honesty refers to the consistency between words and actions in dealing with any situation experienced by consumers. Attention refers to a form of empathy that shows attitude towards consumers when faced with product-related problems. The result is in line with the previous studies of researchers such as Chae, Kim, Lee & Park (2020) and Song and Kim (2010). Ibáñez, Hartmann, & Calvo (2006) also showed that brand trust directly affects purchase intention, and this is very relevant when customers decide to change brands due to the high level of perceived risk and ambiguity. In the fifth hypothesis, the direct and significant effect of consumer attitude towards the brand on purchase intention was confirmed, meaning that a positive attitude towards a brand increases the percentage of brand acceptance probability and affects consumer purchase interest, purchase intention, and willingness to pay more. This result is in line with the findings of studies conducted by Qasemi and Vesta (2014), Yu, Liu, Lee, & Soutar (2018), and Li, Li, & Yang (2017). Finally, hypotheses 6 and 7, which tested the effect of social media marketing on purchase intention through brand trust and brand attitude, were confirmed. Therefore, the results of this study show that social media marketing cannot have a positive effect on consumers' purchase intention without the role of the mediating variables of consumer attitude and brand trust. This itself shows the importance of consumer attitude and trust in the brand in the effect of social media marketing on consumers' purchase intention.
Methodology: The present study has a quantitative approach and is applied in terms of purpose. In terms of nature and method of data collection, it is descriptive-survey. The statistical population of this study is all consumers of the luxury brands Paten Jama, Charm Mashhad, Salyan, Denis Trico, and Navin Charm in Iran, who follow the social media pages of these brands. The reason for choosing these brands is that they all have active representative pages on the social media platform Instagram. This is because it makes it possible to identify followers of these brands and people who are attached to these brands. Given the unlimited nature of the statistical population and the lack of access to the entire target population, the sample under study was taken using the available sampling method. In this way, the online questionnaire of the present study was shared with the followers of the Instagram pages of these brands. Due to the unknown size of the population, the sample size was estimated at 385 people using the Cochran formula.The questionnaire for the present study was prepared with 27 questions using a five-point Likert scale. A set of standard questionnaires from previous studies were used to measure the variables under study. The questions for the social media marketing variable were extracted from the standard questionnaire of Cheung, Pires & Rosenberger (2020), the questions related to purchase intention were extracted from the questionnaire of Lakshamana (2018), the questions for the brand attitude variable were extracted from the tool questionnaire of Qasemi and Vesta (2014), and the questions for the brand trust variable were extracted from the research questionnaire of Yazdani, Ronagh, Laqayi and Mostafshar (2019). In this study, the validity of the questionnaire was obtained through expert review. The questionnaire was sent to six experts and university professors who had at least five years of experience in the field of research, and after the necessary modifications, the validity of the questionnaire was confirmed. The reliability of the questionnaire was also obtained using the Cronbach's alpha coefficient. The questionnaire was distributed among 31 people, and a Cronbach's alpha coefficient of 92% indicates the appropriate reliability of the questionnaire. In this study, Amos software and path analysis method were used to analyze the relationships between dimensions and indicators.
Findings: Social media, as a powerful and successful marketing tool, helps companies to connect activities and interactions between consumers with the brand in a more enjoyable way than ever before. The purpose of this study is to investigate the impact of social media marketing on consumer purchases through brand trust and brand attitude. The findings indicated that social media marketing has a positive and significant effect on brand trust and brand attitude. In addition, brand trust and brand attitude have a positive and significant effect on consumers' purchase intention; Also, social media marketing affects purchase intention through brand trust and brand attitude.
Conclusion: Today, marketers are increasingly concerned with understanding how social media is used in the purchase decision process. Social media offers marketers numerous opportunities to connect with consumers and build more meaningful relationships with them. Social media also provides opportunities to create and share marketing content with target audiences. Social media users have an easier time making decisions and enjoying their work compared to those who use other information sources. In the luxury brand sector, social media also appears to play a key role in the success of a brand. Studies have shown that luxury brand marketing on social media has a positive impact on consumers' favorable perception of luxury, luxury desire, and purchase intention. This study investigated the application of the social media phenomenon in marketing. To this end, it conceptualized the use of social media in marketing and evaluated its impact on consumers' purchase intention of luxury brands with the mediating role of trust and brand attitude. The findings suggest that the use of social media improves consumers' attitude and trust during the initial stages of information search and alternative evaluation. In this study, 6 hypotheses were tested. The results of the first hypothesis showed that social media marketing has a positive and significant impact on consumers' trust in the brand. Social media marketing is considered an effective tool in developing customer relationships. In addition, these interactions create trust and reduce uncertainty that may prevent customers from interacting with brands and making online transactions. Therefore, the higher the quality and informativeness of a social media, the greater the consumer trust in a brand. This means that brand trust is influenced by social media marketing. The findings of this study support the results of previous research. For example, a study by Amalina & Tiarawati (2016) found that if social media marketing is managed effectively, brand trust increases. This is because the transfer of good information creates the perception that the brand can meet the needs of the consumer. Chahal & Rani (2017) also stated that social media experience is an important driver of trust in a particular brand. The existence of social media makes it easier for marketers to reach a wider range of consumers. The results of research by researchers such as Ibrahim (2020) and Behnardi & Rogers (2018) also confirm the positive impact of social media marketing on brand trust. The results obtained from the confirmation of hypothesis number 2 of this study show that social media marketing has a positive and significant impact on consumers' attitudes towards the brand. Social media marketing can be an effective tool for interacting with the community, providing information, and receiving feedback, which leads to increased brand attitude (Poluan, Pasuhuk & Mandagi, 2022). The result is consistent with the instrumental research of Qasemi and Vesta (2014). The third hypothesis investigated the direct effect of social media marketing on consumers' purchase intention, the result of which is in contrast to the findings of the studies of Laksamana (2018) and Alfilo Ansari (2019).The result obtained from the confirmation of the fourth hypothesis of the present study shows that consumer trust in the brand has a significant effect on consumer purchase intention. It can be interpreted that the level of trust in a brand is taken into account by consumers in decision-making for product purchase. Based on the theory of planned behavior, the control belief of a decision relates to the activities that have been carried out, so this can be affected by brand trust because, according to Delgado-Ballester et al. (2003), brand trust includes hope, honesty, and concern. Expectations refer to promises that must be fulfilled in connection with consumers. Honesty refers to the consistency between words and actions in dealing with any situation experienced by consumers. Attention refers to a form of empathy that shows attitude towards consumers when faced with product-related problems. The result is in line with the previous studies of researchers such as Chae, Kim, Lee & Park (2020) and Song and Kim (2010). Ibáñez, Hartmann, & Calvo (2006) also showed that brand trust directly affects purchase intention, and this is very relevant when customers decide to change brands due to the high level of perceived risk and ambiguity. In the fifth hypothesis, the direct and significant effect of consumer attitude towards the brand on purchase intention was confirmed, meaning that a positive attitude towards a brand increases the percentage of brand acceptance probability and affects consumer purchase interest, purchase intention, and willingness to pay more. This result is in line with the findings of studies conducted by Qasemi and Vesta (2014), Yu, Liu, Lee, & Soutar (2018), and Li, Li, & Yang (2017). Finally, hypotheses 6 and 7, which tested the effect of social media marketing on purchase intention through brand trust and brand attitude, were confirmed. Therefore, the results of this study show that social media marketing cannot have a positive effect on consumers' purchase intention without the role of the mediating variables of consumer attitude and brand trust. This itself shows the importance of consumer attitude and trust in the brand in the effect of social media marketing on consumers' purchase intention.
Model of the antecedents and consequences of students self-disclosure in the educational environment
Mrs Shamsi Sokout, Mrs Maryam Slampanah, Mr Mohamad Javad Karam Afroz, Mrs Faranak Mousavi,
Volume 10, Issue 3 (11-2023)
Volume 10, Issue 3 (11-2023)
Abstract
purpose: The purpose of this research was to present a model of the antecedents and consequences of self-disclosure in the country's educational environment.
Although self-disclosure, its effective factors and consequences have special value from the aspect of many sciences such as counseling, educational management, educational sciences, psychology, etc., and numerous studies have been conducted on it, but a careful review of the research literature proved that so far no comprehensive and written study with a mixed approach and in the form of providing an integrated model has been done that has investigated the dimensions of this concept, its effective factors and consequences. Each of the existing studies have investigated one or more variables affecting self-disclosure separately. Therefore, according to the existing study gap, according to the history of the researcher's educational activity as a teacher and understanding the importance of self-disclosure in order to maintain the mental health of students of this country, the concern arises that in addition to a comprehensive look at the conducted researches, with an in-depth perspective, analyze this structure, its components, factors affecting it and its consequences in the educational environment of the country. Therefore, the main object of this research is "providing a model of the antecedents and consequences of self-disclosure in the educational environment of the country". In this research, the researcher intends to present effective factors and possible consequences in the form of a conceptual model.
Methodology: The methodology of this research is quantitative-descriptive. The sample of the current research is the first high school students of selected Tehran areas. These areas were selected by multi-stage cluster sampling method. According to subject of this research and the studied population (target), the sample size is selected according to the application of structural equations software, in the number of 600 students of the first secondary school in Tehran. For this purpose, the city of Tehran was first divided into five regions of North, South, East, West and Center by cluster sampling method. Then, from these five regions (regions 1, 5, 6, 8, 16), schools were selected as a cluster and then random samples were selected from each school. In this research, the researcher intends to use the questionnaire extracted from the qualitative part (made by the researcher). This questionnaire consists of two parts. The first part consists of demographic characteristics including gender, age, education level, and region, etc and the second part will contain specialized questions with a response package prepared on a five-point Likert scale.
A: Reflective measurement model test (cv com test)
B: Structural model tests include:
• Hypothesis significance test (direct path)
• R-squares or R2 test (determination coefficient)
• Structural model quality test (Cv Red)
C: the general fit test of the model at the end (SRMR)
Findings: According to the data obtained, there are 172 students in the seventh grade and 31.44%, 180 students in the eighth grade and 32.91%, and 195 students in the ninth grade and 35.65% and a total of 547 people answered the questions of the questionnaire in the educational levels of the first secondary school. According to the obtained data, all values of CV com are higher than 0.15. As a result, the quality of the measurement model is medium to high.
The results show that after removing the counseling expertise variable, the paths of the model from antecedents to self-disclosure and from self-disclosure to the consequences of self-disclosure are significant. It can be concluded that the components of trust, internal motivation, experience, being supported, context of acceptance and environmental conditions are the antecedents of students' self-disclosure. And the components of privacy awareness, mutual communication, creative thinking, problem solving, privacy risk, self-belief, optimism, monitorability, empathy, effective listening and learning from According to the obtained data, the effect of internal motivation on self-disclosure is T-Value = 7.509, the effect of trust on self-disclosure is T-Value = 4.632, the effect of having experience on self-disclosure is T-Value = 2.017, the effect of acceptance context on self-disclosure T-Value = 3.461, the effect of environmental conditions on self-disclosure T-Value = 4.343 and the effect of being supported on self-disclosure with T-Value = 4.392 which It is in the range [-1/96, 1/96]. P-Value=0, which is less than 0.05, rejects the H0 hypothesis and accepts the H1 hypothesis at the 95% confidence level. But the effect of consultant's expertise on self-disclosure T-Value = 0.5, which is not outside the range [-1.96, 1.96] and P-Value = 0.617, which is not less than 0.05, at the confidence level of 95 % HO hypothesis is confirmed and H1 hypothesis is rejected. And on the other hand, the value of β, which shows the intensity and direction of the effect, is positive in internal motivation 0.259, trust 0.168, experience 0.065, environment acceptance 0.12, environmental conditions 0.145, and being supported 0.2; therefore, it is predicted that if the research is repeated in a larger sample of the same community, this hypothesis will be confirmed, and on the other hand, the β value that shows the intensity and direction of the effect, the consultant's expertise is 0.015 and its direction is negative; Therefore, this hypothesis is not confirmed.
According to the obtained data, the effect of self-disclosure on mutual relationship T-value= 799.56, the effect of self-disclosure on creative thinking T-value = 252.22, the effect of self-disclosure on problem solving skill T-value = 684.41 Value, the effect of self-disclosure on self-belief, T-Value = 862/55, the effect of self-disclosure on monitorability, T-Value = 228/56, the effect of self-disclosure on empathy, T-Value = 10/911, the effect of self-disclosure on learning from mistakes T-Value = 64.12, the effect of self-disclosure on privacy awareness T-Value = 118.20, the effect of self-disclosure on privacy risk T-Value = 23.5, the effect of self-disclosure on optimism T-Value = 113.19 and the effect of self-disclosure on effective listening T-Value = 15.407, which is outside the range [-1.96, 1.96]. And P-Value = 0, which is less than 0.05, rejects the H0 hypothesis and confirms the H1 hypothesis at the 95% confidence level. And on the other hand, the value of β, which shows the intensity and direction of the effect, is 0.818 in mutual communication, 0.626 in creative thinking, 0.771 in problem solving skill, 0.829 in self-belief, 0.82 in monitorability, in empathy is 0.419, learning from mistakes is 0.468, privacy awareness is 0.591, privacy risk is 0.214, optimism is 0.551, and effective listening is 0.54. Therefore, it is expected that if the research is repeated in a larger sample of the same community, this hypothesis will be confirmed.
According to the findings, SRMR=0.062 is less than 0.08, so it can be concluded that the overall model has a good fit. The quality and fit status of the structural model resulting from the qualitative part of the research, which was one of the objectives of the quantitative part, was also examined.
In the present study, to calculate the goodness of fit (GOF), the average (R2) and (AVE) of the research components were extracted from smartpls software and included in the relevant formula.
GOF = √ 0.628192308× 0.685423077 = 0.656
According to the obtained data and the calculation result of GOF = 0.656, it can be said: the research model has a very good fit.
Conclusion: School is the foundation to all existing structures in society. A teacher is one of the most important role of a society and the first adult person after parents that the way of communicating with them is very important and has a serious impact on the emotional and social performance of students in school. The effective communication between students and the teacher not only gives the teacher a lot of motivation, but also can lead to creativity, satisfaction, academic progress, and better behavior of students in school and society. And finally, it should lead to students and teacher's mental health and create a foundation for establishing beneficial social relationships of students throughout their lives.
Self-disclosure is a process in which people verbally express their personal information or experiences to others. The school is one of the most important organized social institutions that by providing a healthy environment can cause the growth and prosperity of people's body and mind; This is shaped by students' relationships with teachers, counselors, and school administrators, as well as students' emotional growth, and self-disclosure develops this relationship.
Although self-disclosure, its effective factors and consequences have special value from the aspect of many sciences such as counseling, educational management, educational sciences, psychology, etc., and numerous studies have been conducted on it, but a careful review of the research literature proved that so far no comprehensive and written study with a mixed approach and in the form of providing an integrated model has been done that has investigated the dimensions of this concept, its effective factors and consequences. Each of the existing studies have investigated one or more variables affecting self-disclosure separately. Therefore, according to the existing study gap, according to the history of the researcher's educational activity as a teacher and understanding the importance of self-disclosure in order to maintain the mental health of students of this country, the concern arises that in addition to a comprehensive look at the conducted researches, with an in-depth perspective, analyze this structure, its components, factors affecting it and its consequences in the educational environment of the country. Therefore, the main object of this research is "providing a model of the antecedents and consequences of self-disclosure in the educational environment of the country". In this research, the researcher intends to present effective factors and possible consequences in the form of a conceptual model.
Methodology: The methodology of this research is quantitative-descriptive. The sample of the current research is the first high school students of selected Tehran areas. These areas were selected by multi-stage cluster sampling method. According to subject of this research and the studied population (target), the sample size is selected according to the application of structural equations software, in the number of 600 students of the first secondary school in Tehran. For this purpose, the city of Tehran was first divided into five regions of North, South, East, West and Center by cluster sampling method. Then, from these five regions (regions 1, 5, 6, 8, 16), schools were selected as a cluster and then random samples were selected from each school. In this research, the researcher intends to use the questionnaire extracted from the qualitative part (made by the researcher). This questionnaire consists of two parts. The first part consists of demographic characteristics including gender, age, education level, and region, etc and the second part will contain specialized questions with a response package prepared on a five-point Likert scale.
A: Reflective measurement model test (cv com test)
B: Structural model tests include:
• Hypothesis significance test (direct path)
• R-squares or R2 test (determination coefficient)
• Structural model quality test (Cv Red)
C: the general fit test of the model at the end (SRMR)
Findings: According to the data obtained, there are 172 students in the seventh grade and 31.44%, 180 students in the eighth grade and 32.91%, and 195 students in the ninth grade and 35.65% and a total of 547 people answered the questions of the questionnaire in the educational levels of the first secondary school. According to the obtained data, all values of CV com are higher than 0.15. As a result, the quality of the measurement model is medium to high.
The results show that after removing the counseling expertise variable, the paths of the model from antecedents to self-disclosure and from self-disclosure to the consequences of self-disclosure are significant. It can be concluded that the components of trust, internal motivation, experience, being supported, context of acceptance and environmental conditions are the antecedents of students' self-disclosure. And the components of privacy awareness, mutual communication, creative thinking, problem solving, privacy risk, self-belief, optimism, monitorability, empathy, effective listening and learning from According to the obtained data, the effect of internal motivation on self-disclosure is T-Value = 7.509, the effect of trust on self-disclosure is T-Value = 4.632, the effect of having experience on self-disclosure is T-Value = 2.017, the effect of acceptance context on self-disclosure T-Value = 3.461, the effect of environmental conditions on self-disclosure T-Value = 4.343 and the effect of being supported on self-disclosure with T-Value = 4.392 which It is in the range [-1/96, 1/96]. P-Value=0, which is less than 0.05, rejects the H0 hypothesis and accepts the H1 hypothesis at the 95% confidence level. But the effect of consultant's expertise on self-disclosure T-Value = 0.5, which is not outside the range [-1.96, 1.96] and P-Value = 0.617, which is not less than 0.05, at the confidence level of 95 % HO hypothesis is confirmed and H1 hypothesis is rejected. And on the other hand, the value of β, which shows the intensity and direction of the effect, is positive in internal motivation 0.259, trust 0.168, experience 0.065, environment acceptance 0.12, environmental conditions 0.145, and being supported 0.2; therefore, it is predicted that if the research is repeated in a larger sample of the same community, this hypothesis will be confirmed, and on the other hand, the β value that shows the intensity and direction of the effect, the consultant's expertise is 0.015 and its direction is negative; Therefore, this hypothesis is not confirmed.
According to the obtained data, the effect of self-disclosure on mutual relationship T-value= 799.56, the effect of self-disclosure on creative thinking T-value = 252.22, the effect of self-disclosure on problem solving skill T-value = 684.41 Value, the effect of self-disclosure on self-belief, T-Value = 862/55, the effect of self-disclosure on monitorability, T-Value = 228/56, the effect of self-disclosure on empathy, T-Value = 10/911, the effect of self-disclosure on learning from mistakes T-Value = 64.12, the effect of self-disclosure on privacy awareness T-Value = 118.20, the effect of self-disclosure on privacy risk T-Value = 23.5, the effect of self-disclosure on optimism T-Value = 113.19 and the effect of self-disclosure on effective listening T-Value = 15.407, which is outside the range [-1.96, 1.96]. And P-Value = 0, which is less than 0.05, rejects the H0 hypothesis and confirms the H1 hypothesis at the 95% confidence level. And on the other hand, the value of β, which shows the intensity and direction of the effect, is 0.818 in mutual communication, 0.626 in creative thinking, 0.771 in problem solving skill, 0.829 in self-belief, 0.82 in monitorability, in empathy is 0.419, learning from mistakes is 0.468, privacy awareness is 0.591, privacy risk is 0.214, optimism is 0.551, and effective listening is 0.54. Therefore, it is expected that if the research is repeated in a larger sample of the same community, this hypothesis will be confirmed.
According to the findings, SRMR=0.062 is less than 0.08, so it can be concluded that the overall model has a good fit. The quality and fit status of the structural model resulting from the qualitative part of the research, which was one of the objectives of the quantitative part, was also examined.
In the present study, to calculate the goodness of fit (GOF), the average (R2) and (AVE) of the research components were extracted from smartpls software and included in the relevant formula.
GOF = √ 0.628192308× 0.685423077 = 0.656
According to the obtained data and the calculation result of GOF = 0.656, it can be said: the research model has a very good fit.
Conclusion: School is the foundation to all existing structures in society. A teacher is one of the most important role of a society and the first adult person after parents that the way of communicating with them is very important and has a serious impact on the emotional and social performance of students in school. The effective communication between students and the teacher not only gives the teacher a lot of motivation, but also can lead to creativity, satisfaction, academic progress, and better behavior of students in school and society. And finally, it should lead to students and teacher's mental health and create a foundation for establishing beneficial social relationships of students throughout their lives.
Self-disclosure is a process in which people verbally express their personal information or experiences to others. The school is one of the most important organized social institutions that by providing a healthy environment can cause the growth and prosperity of people's body and mind; This is shaped by students' relationships with teachers, counselors, and school administrators, as well as students' emotional growth, and self-disclosure develops this relationship.
Marzieh Morovati, Nosrat Riahinia, Ali Azimi,
Volume 10, Issue 4 (3-2024)
Volume 10, Issue 4 (3-2024)
Abstract
Background and Aim: The Covid-19 pandemic crisis has highlighted the importance of open and timely access to scientific information. The aim of this study was to explain the world community's efforts to open access in the Covid-19 pandemic crisis.
Method: This was a review study in terms of approach using documentary research method. In this regard, open access literature was studied using searches on Google search engine, Google Scholar and databases such as PubMed, Web of Science, Scopus and the websites of publishers, journals and scientific institutions, focusing on the Covid-19 pandemic crisis.
Results: Since the formation of the open access movement, this issue has attracted a lot of attention and extensive efforts have been made in the direction of open access to research publications by the scientific community. Publishers, financial sponsors and international institutions have also entered this arena and various statements and plans have been formed in order to recognize the open access movement and its development. “Budapest Open Access Initiative”, “Bethesda Statement on Open Access Publishing”, “Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities” are the first measures in this regard. On the other hand, the importance of access to timely information, especially in the fields of medical sciences and information related to health and diseases, is worthy of attention in promoting public health. The need to pay attention to open access and sharing of information and the consequences of not doing so has become more important with the occurrence of critical and emergency situations caused by pandemic and public health emergencies. Along with the emergence of COVID-19 and the pandemic caused by it, many researches have been conducted in order to deal with the crisis of this disease and to find solutions for its treatment and control. The aspects of this deadly disease have attracted the attention of everyone, especially scientists and scholars in various fields around the world, and an unprecedented number of articles have been published in this field. In addition, many international organizations have published various information about the disease of COVID-19 in the form of open access, for example, “WHO Coronavirus Disease (COVID-19) Dashboard” and "Coronavirus Watch". The unprecedented crisis of the COVID-19 pandemic has highlighted the importance of information transparency and timely and open access to it. Access to accurate and timely information about this emerging disease is very important and can help to assess and understand the risks and obtain strategies to contain it, strong evidence, better information and support for decisions and policies in the direction of public health. The need to provide suitable solutions for treatment, prevention and control of the disease on the one hand and the increasing number of researches on COVID-19 on the other hand, has created new opportunities in the system of scientific communication and publication of research findings, and the scientific community has decided to accelerate the cycle of knowledge to find possible solutions to deal with the disease crisis. Explaining the efforts and measures taken in this direction during the COVID-19 pandemic as the most important global crisis and concern can provide useful information to the scientific community, especially those involved in research. Considering the unprecedented nature of the COVID-19 pandemic crisis, as well as the importance of timely and open access to scientific information about this disease, the question arises as to what measures have been taken in response to the COVID-19 pandemic crisis? Also, what measures and measures have been taken for free access to scientific information about the pandemic? A review of the literature regarding the issue of open access in the crisis of the COVID-19 pandemic showed in response to the COVID-19 pandemic crisis, a global effort has been made to facilitate open access to COVID-19 research findings. The need for appropriate strategies for the treatment, prevention and control of the disease and the increasing number of COVID-19 research has affected the system of scientific communication and the publication of research findings and the world community, especially reputable publishers and scientific institutions, have made extensive statements, measures and efforts to provide open access to as much scientific information as possible about the disease. During the crisis of the COVID-19 pandemic, many publishers, journals and funders have committed to open access in a statement to ensure that research findings and data relevant to this outbreak are shared rapidly and openly to inform the public health response and help save lives. The measures and actions of publishers and scientific journals in this regard are worthy of attention. Access to Elsevier's free medical and health research related to COVID-19 is possible through the "Elsevier's Novel Coronavirus Information Center". Elsevier has also created a collection of free resources, including evidence-based clinical guidelines and more than 41,000 research articles to read, download and extract data, in support of the research communities' impressive efforts in the fight against COVID-19. This guide provides an overview of the resources. Through the "COVID-19 Resource Centre", Lancet has provided free access to all research articles, review articles, news and analysis related to COVID-19 from its journals. Springer Nature has provided free access to the latest COVID-19 articles through the "Coronavirus (COVID-19) Research Highlights". The publisher has now enabled free access to articles, book chapters, reference works and protocols on its platforms and has supported all researchers to make their experimental datasets freely available. Springer Nature has made more than 8,700 preprint articles on COVID-19 available through “Research Square”, with links to key resources, free content, and up-to-date information related to COVID-19, along with key information and policies in support of access from placed far away. NEJM has made available a collection of articles and resources such as clinical reports and management guides about the pandemic, as well as a collection of resources about the COVID-19 vaccines. BMJ's Coronavirus (COVID-19) Hub has also supported health professionals and researchers through open access to practical guides, online courses, as well as the latest BMG news, opinions and research. PLOS is committed to publishing research as quickly as possible, especially in public health emergencies. All articles published in PLOS journals are free for all readers. PLOS articles collection highlights all the content related to the COVID-19 pandemic published in PLOS journals. To support the efforts of global health professionals and the scientific research community, Taylor & Francis has created a special collection of research articles related to COVID-19, providing free access to published articles related to COVID-19 in the publisher's major medical journals. he does. This collection is updated weekly. On the other hand, the archive of all research articles related to COVID-19 published in 2020 by Taylor & Francis has also been made available to the audience. Wiley has created the "COVID-19 Resources" in order to help researchers, educators and specialists for online training and access to the latest research on COVID-19. Believing in the power of social and behavioral sciences to transform the best medical research into policies and procedures for development, SAGE has published a collection of the latest medical research related to COVID-19 published by this publisher, as well as the best social and behavioral research in order to help It has enabled individuals, communities and guardians to make the best decisions to deal with the pandemic and its consequences. Science journals are trying to make research related to COVID-19 available in open access. The "COVID-19" option is placed on the main page of the Science website. CABI has also created free access to more than 37,000 records related to COVID-19 in its online platforms, Global Health and CAB Abstracts in order to support global efforts to deal with the disease pandemic. Global Health provides researchers and students with unparalleled access to all public health research and practices in the world - providing knowledge without borders. “Sci-Dev.Net” also includes episodes about the coronavirus in the Health, Science and Development series. Wolters Kluwer is also one of the publishers that has provided free access to publications related to COVID-19 in order to support professionals. According to IFLA reports, the actions of publishers such as Penguin Random House and Macmillan, as well as the measures of Audible and ENSSIB in terms of access to resources, are worthy of attention. Some libraries, such as the National Library and Archives of Iran, have provided extensive access to their users. Some associations and scientific societies, such as the International Coalition of Library Consortia, LIBER and the Association of University Library Directors in France, have asked publishers to facilitate access to works. Italian and Spanish librarians have called for more open access efforts. During the crisis of the COVID-19 pandemic, open access has also attracted the attention of scientific institutions, and extensive measures have been taken in this direction by them. In the January 30 statement, the Global Preparedness Monitoring Board called for immediate measures such as the free and immediate sharing of all information about the pandemic, the cooperation of countries to immediately allocate resources to prevent, identify and inform about the pandemic and the rapid sharing of research data by the research community, support Low-income countries are advised to ensure proper notification to national and international communities to control the pandemic. On January 30, 2020, following the recommendations of the Emergency Committee, the Director-General of the World Health Organization declared the disease pandemic a public health emergency of international concern. The world's scientists gathered on February 11-12, 2020 at the headquarters of the World Health Organization in Geneva to assess the current level of knowledge about the new virus and about critical questions and find solutions to contribute to accelerating and funding research priorities and solving the pandemic crisis and preparedness Discuss and negotiate for future issues. This meeting led to an agreement on two basic goals. The first case was to accelerate innovative research to help curb the pandemic and facilitate care, and the second case was to support research priorities that contribute to global research platforms. The World Health Organization believes that the coherence of countries is necessary to ensure fair access to the effects of COVID-19. The World Health Organization is collecting global research on the disease COVID-19 and the latest findings and international multilingual scientific information on the pandemic. UNESCO has also emphasized the value and necessity of open solutions in the face of the COVID-19 pandemic and believes that open access to scientific information can facilitate better and faster research in the direction of a suitable vaccine, and open Educational Resources help everyone to use their information. updates about COVID-19 and also teaches how to follow public health recommendations. Relying on its mission to ensure global access to information, UNESCO has taken various initiatives to apply open solutions in the fight against the pandemic. For example, the Coronavirus Watch provides a global view of the pandemic situation. The COVID-19 Universal REsource gateway (CURE) is also an immediate response to the pandemic. IFLA has made efforts to encourage the World Intellectual Property Organization to emphasize how balanced intellectual property laws can help facilitate access. IFLA has also provided a list of key resources for libraries in response to the COVID-19 pandemic on its website. Open access is also emphasized in the statement of the President and Secretary General of IFLA. Following the COVID-19 crisis, priorities have also been considered in the SPARC program. Also, the Copyright Clearance Center recognizes publishing and information institutions to participate in the public interest through access to scientific, news and educational materials related to COVID-19. The list of institutions is regularly updated. The Islamic World Science and Technology Monitoring and Citation Institute has also launched the "COVID-19 Visualizer" in order to provide up-to-date statistics about the pandemic situation and accelerate the transmission of scientific findings about COVID-19. In addition, government officials have also called for open access to the publications of COVID-19. The National Science and Technology Advisors of the United States of America, Canada, England, Australia, Brazil, Germany, France, Italy, Spain, India, Japan, New Zealand, Singapore, South Korea and the European Commission have published an open letter asking scientific publishers to Pandemic, make publications related to COVID-19 available with open access through PubMed Central and other public databases such as the World Health Organization's COVID-19 database. The world community’s efforts demonstrate the growing importance of open access and increasing attention to this issue. It seems that the global response to the COVID-19 pandemic crisis could provide lessons for better preparedness for possible future crises. The present study is one of the first studies conducted in our country regarding the free access movement in the pandemic crisis and tried to present a picture of the efforts of the scientific community in this field in response to the COVID-19 pandemic. It is obvious that future researches on the wide dimensions and angles of this issue can cause the scientific community to become more aware of the importance of free access, especially in crises.
Conclusion: The world community’s efforts demonstrate the growing importance of open access and increasing attention to this issue. It seems that the global response to the Covid-19 pandemic crisis could provide lessons for better preparedness for possible future crises. If open access is considered as a value in the system of publishing and research communications, the development and generalization of this value requires the adoption of policies and requirements of the scientific community in order to develop it as a global value.
Method: This was a review study in terms of approach using documentary research method. In this regard, open access literature was studied using searches on Google search engine, Google Scholar and databases such as PubMed, Web of Science, Scopus and the websites of publishers, journals and scientific institutions, focusing on the Covid-19 pandemic crisis.
Results: Since the formation of the open access movement, this issue has attracted a lot of attention and extensive efforts have been made in the direction of open access to research publications by the scientific community. Publishers, financial sponsors and international institutions have also entered this arena and various statements and plans have been formed in order to recognize the open access movement and its development. “Budapest Open Access Initiative”, “Bethesda Statement on Open Access Publishing”, “Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities” are the first measures in this regard. On the other hand, the importance of access to timely information, especially in the fields of medical sciences and information related to health and diseases, is worthy of attention in promoting public health. The need to pay attention to open access and sharing of information and the consequences of not doing so has become more important with the occurrence of critical and emergency situations caused by pandemic and public health emergencies. Along with the emergence of COVID-19 and the pandemic caused by it, many researches have been conducted in order to deal with the crisis of this disease and to find solutions for its treatment and control. The aspects of this deadly disease have attracted the attention of everyone, especially scientists and scholars in various fields around the world, and an unprecedented number of articles have been published in this field. In addition, many international organizations have published various information about the disease of COVID-19 in the form of open access, for example, “WHO Coronavirus Disease (COVID-19) Dashboard” and "Coronavirus Watch". The unprecedented crisis of the COVID-19 pandemic has highlighted the importance of information transparency and timely and open access to it. Access to accurate and timely information about this emerging disease is very important and can help to assess and understand the risks and obtain strategies to contain it, strong evidence, better information and support for decisions and policies in the direction of public health. The need to provide suitable solutions for treatment, prevention and control of the disease on the one hand and the increasing number of researches on COVID-19 on the other hand, has created new opportunities in the system of scientific communication and publication of research findings, and the scientific community has decided to accelerate the cycle of knowledge to find possible solutions to deal with the disease crisis. Explaining the efforts and measures taken in this direction during the COVID-19 pandemic as the most important global crisis and concern can provide useful information to the scientific community, especially those involved in research. Considering the unprecedented nature of the COVID-19 pandemic crisis, as well as the importance of timely and open access to scientific information about this disease, the question arises as to what measures have been taken in response to the COVID-19 pandemic crisis? Also, what measures and measures have been taken for free access to scientific information about the pandemic? A review of the literature regarding the issue of open access in the crisis of the COVID-19 pandemic showed in response to the COVID-19 pandemic crisis, a global effort has been made to facilitate open access to COVID-19 research findings. The need for appropriate strategies for the treatment, prevention and control of the disease and the increasing number of COVID-19 research has affected the system of scientific communication and the publication of research findings and the world community, especially reputable publishers and scientific institutions, have made extensive statements, measures and efforts to provide open access to as much scientific information as possible about the disease. During the crisis of the COVID-19 pandemic, many publishers, journals and funders have committed to open access in a statement to ensure that research findings and data relevant to this outbreak are shared rapidly and openly to inform the public health response and help save lives. The measures and actions of publishers and scientific journals in this regard are worthy of attention. Access to Elsevier's free medical and health research related to COVID-19 is possible through the "Elsevier's Novel Coronavirus Information Center". Elsevier has also created a collection of free resources, including evidence-based clinical guidelines and more than 41,000 research articles to read, download and extract data, in support of the research communities' impressive efforts in the fight against COVID-19. This guide provides an overview of the resources. Through the "COVID-19 Resource Centre", Lancet has provided free access to all research articles, review articles, news and analysis related to COVID-19 from its journals. Springer Nature has provided free access to the latest COVID-19 articles through the "Coronavirus (COVID-19) Research Highlights". The publisher has now enabled free access to articles, book chapters, reference works and protocols on its platforms and has supported all researchers to make their experimental datasets freely available. Springer Nature has made more than 8,700 preprint articles on COVID-19 available through “Research Square”, with links to key resources, free content, and up-to-date information related to COVID-19, along with key information and policies in support of access from placed far away. NEJM has made available a collection of articles and resources such as clinical reports and management guides about the pandemic, as well as a collection of resources about the COVID-19 vaccines. BMJ's Coronavirus (COVID-19) Hub has also supported health professionals and researchers through open access to practical guides, online courses, as well as the latest BMG news, opinions and research. PLOS is committed to publishing research as quickly as possible, especially in public health emergencies. All articles published in PLOS journals are free for all readers. PLOS articles collection highlights all the content related to the COVID-19 pandemic published in PLOS journals. To support the efforts of global health professionals and the scientific research community, Taylor & Francis has created a special collection of research articles related to COVID-19, providing free access to published articles related to COVID-19 in the publisher's major medical journals. he does. This collection is updated weekly. On the other hand, the archive of all research articles related to COVID-19 published in 2020 by Taylor & Francis has also been made available to the audience. Wiley has created the "COVID-19 Resources" in order to help researchers, educators and specialists for online training and access to the latest research on COVID-19. Believing in the power of social and behavioral sciences to transform the best medical research into policies and procedures for development, SAGE has published a collection of the latest medical research related to COVID-19 published by this publisher, as well as the best social and behavioral research in order to help It has enabled individuals, communities and guardians to make the best decisions to deal with the pandemic and its consequences. Science journals are trying to make research related to COVID-19 available in open access. The "COVID-19" option is placed on the main page of the Science website. CABI has also created free access to more than 37,000 records related to COVID-19 in its online platforms, Global Health and CAB Abstracts in order to support global efforts to deal with the disease pandemic. Global Health provides researchers and students with unparalleled access to all public health research and practices in the world - providing knowledge without borders. “Sci-Dev.Net” also includes episodes about the coronavirus in the Health, Science and Development series. Wolters Kluwer is also one of the publishers that has provided free access to publications related to COVID-19 in order to support professionals. According to IFLA reports, the actions of publishers such as Penguin Random House and Macmillan, as well as the measures of Audible and ENSSIB in terms of access to resources, are worthy of attention. Some libraries, such as the National Library and Archives of Iran, have provided extensive access to their users. Some associations and scientific societies, such as the International Coalition of Library Consortia, LIBER and the Association of University Library Directors in France, have asked publishers to facilitate access to works. Italian and Spanish librarians have called for more open access efforts. During the crisis of the COVID-19 pandemic, open access has also attracted the attention of scientific institutions, and extensive measures have been taken in this direction by them. In the January 30 statement, the Global Preparedness Monitoring Board called for immediate measures such as the free and immediate sharing of all information about the pandemic, the cooperation of countries to immediately allocate resources to prevent, identify and inform about the pandemic and the rapid sharing of research data by the research community, support Low-income countries are advised to ensure proper notification to national and international communities to control the pandemic. On January 30, 2020, following the recommendations of the Emergency Committee, the Director-General of the World Health Organization declared the disease pandemic a public health emergency of international concern. The world's scientists gathered on February 11-12, 2020 at the headquarters of the World Health Organization in Geneva to assess the current level of knowledge about the new virus and about critical questions and find solutions to contribute to accelerating and funding research priorities and solving the pandemic crisis and preparedness Discuss and negotiate for future issues. This meeting led to an agreement on two basic goals. The first case was to accelerate innovative research to help curb the pandemic and facilitate care, and the second case was to support research priorities that contribute to global research platforms. The World Health Organization believes that the coherence of countries is necessary to ensure fair access to the effects of COVID-19. The World Health Organization is collecting global research on the disease COVID-19 and the latest findings and international multilingual scientific information on the pandemic. UNESCO has also emphasized the value and necessity of open solutions in the face of the COVID-19 pandemic and believes that open access to scientific information can facilitate better and faster research in the direction of a suitable vaccine, and open Educational Resources help everyone to use their information. updates about COVID-19 and also teaches how to follow public health recommendations. Relying on its mission to ensure global access to information, UNESCO has taken various initiatives to apply open solutions in the fight against the pandemic. For example, the Coronavirus Watch provides a global view of the pandemic situation. The COVID-19 Universal REsource gateway (CURE) is also an immediate response to the pandemic. IFLA has made efforts to encourage the World Intellectual Property Organization to emphasize how balanced intellectual property laws can help facilitate access. IFLA has also provided a list of key resources for libraries in response to the COVID-19 pandemic on its website. Open access is also emphasized in the statement of the President and Secretary General of IFLA. Following the COVID-19 crisis, priorities have also been considered in the SPARC program. Also, the Copyright Clearance Center recognizes publishing and information institutions to participate in the public interest through access to scientific, news and educational materials related to COVID-19. The list of institutions is regularly updated. The Islamic World Science and Technology Monitoring and Citation Institute has also launched the "COVID-19 Visualizer" in order to provide up-to-date statistics about the pandemic situation and accelerate the transmission of scientific findings about COVID-19. In addition, government officials have also called for open access to the publications of COVID-19. The National Science and Technology Advisors of the United States of America, Canada, England, Australia, Brazil, Germany, France, Italy, Spain, India, Japan, New Zealand, Singapore, South Korea and the European Commission have published an open letter asking scientific publishers to Pandemic, make publications related to COVID-19 available with open access through PubMed Central and other public databases such as the World Health Organization's COVID-19 database. The world community’s efforts demonstrate the growing importance of open access and increasing attention to this issue. It seems that the global response to the COVID-19 pandemic crisis could provide lessons for better preparedness for possible future crises. The present study is one of the first studies conducted in our country regarding the free access movement in the pandemic crisis and tried to present a picture of the efforts of the scientific community in this field in response to the COVID-19 pandemic. It is obvious that future researches on the wide dimensions and angles of this issue can cause the scientific community to become more aware of the importance of free access, especially in crises.
Conclusion: The world community’s efforts demonstrate the growing importance of open access and increasing attention to this issue. It seems that the global response to the Covid-19 pandemic crisis could provide lessons for better preparedness for possible future crises. If open access is considered as a value in the system of publishing and research communications, the development and generalization of this value requires the adoption of policies and requirements of the scientific community in order to develop it as a global value.
Mansoor Koohi Rostami, Hadi Alhaei, Zeinab Jozi, Mohammad Amin Sekhavatmanesh,
Volume 10, Issue 4 (3-2024)
Volume 10, Issue 4 (3-2024)
Abstract
Introduction: Human life has always been subject to crisis. The important thing in dealing with a crisis is the appropriate response. The emergence of information technology has provided crisis managers with the best possible potential and capacities for crisis management. Today, managers should always be ready to deal with crises. These crises can be economic and financial or natural events such as storms, floods, tsunamis, or disease outbreaks. Managers who have not taken measures in advance to deal with such events will lose more. No one is aware of the crisis in advance. Expert managers have basic plans to deal with such situations. To overcome uneven events, managers should use the experiences of their predecessors to get acquainted with crisis coping strategies. Not all managers can overcome the crisis. However, if the managers in their organization believe in crisis management as an inseparable part of their strategic management responsibility, the probability of confronting a crisis will be significantly reduced. Crisis management activities are performed in three stages before the crisis, during the crisis, and after the crisis. The first step consists of the actions needed to prevent the crisis. This stage is the first step in identifying and diagnosing the crisis and also gathering information to deal with the crisis. The second stage includes the stage of crisis occurrence. In this stage, it is necessary to gather information to diagnose the causes of the crisis. The third stage is the actions that must be taken after the crisis. At this stage, we had to ensure that the crisis has resolved or not. Also, learning from the crisis so that it does not happen again occurs at this stage. The crisis is a test for stability in a system. A crisis is an unusual situation in which a problem or sudden event occurs that is not predictable. Etymologically, the word crisis has been derived from the Greek language. In ancient Greek, the word crisis (κριςις) means "judgment" or "decision". The crisis means that it is necessary to make a decision that has not been made before. In the 21st century, the growth of information technology and the expansion of research has created a significant increase in the understanding of the challenges of crisis management when facing a crisis to reduce victims, and thanks to technology and the use of communication technologies, crisis management has become more realistic. During crisis management, by using correct communication, participation, coordination, and integration in information systems play an important role in crisis control. In a crisis, those affected perceive, process, and act on information differently than in non-crisis times. One of the applications of information technology in crisis management is "crisis informatics". Crisis informatics deals with the relationship between people, organizations, information, and technology during a crisis. Crisis informatics means the knowledge of receiving and transmitting information. In other words, crisis computing is the science of information processing and information systems. On the other hand, inaccuracy in choosing and publishing news and information in crisis conditions can be called crisis informatics. The expansion of social media such as Facebook, and Twitter, search based on people, and response to the crisis of Google, YouTube, and Flickr has changed the face of information management in critical situations. One of the capabilities of information science specialists is information monitoring. Information specialists can identify which information is fake and which is valid through information review. Therefore, experts in this field can play an influential role in preparing information reports for decision-makers. Also, by producing correct and reliable content, they should prevent the information confusion of the public. Considering that information forms the link between crisis management, crisis informatics, and information science, the present study was conducted to explain the role and functions of information science in crisis informatics.
Methods: The current research was conducted using a library method with an analytical approach and after reviewing previous studies to identify concepts related to the concept of crisis informatics. In this study, researchers first searched for materials related to the purpose of the research using keywords (crisis informatics, disaster informatics, informatics patterns of crisis, information science and crisis, information science and disasters, crisis informatics in disasters and social media) in databases including Google Scholar, Emerald, WebOscience, Scopus, ScienceDirect paid. The researchers examined the recovered. After reviewing the found texts, the researchers selected the related materials based on the purpose of the research and presented them in this article. In this research, by examining the concept, history, and patterns of information flow in crisis informatics and the role of information science specialists, an analytical review has been made on the importance of the role and position of information science specialists as crisis informatics in times of crisis.
Findings: The findings showed that although the importance of social media in a crisis is critical to researchers and many studies have covered it and paid attention to its role in gathering information during a crisis as well as providing aid, so far Informing people when dangerous events occur in social networks has not been given serious attention. Self-coordination through social media among citizens and providing aid to fellow citizens, through the advice of shared posts, helps to improve crisis conditions, and authorities use media for public communication during a crisis. However, obstacles such as the lack of personnel to verify and disseminate information are still challenges to the efficient use of social media by authorities. Also, data mining of citizens' behaviors is one of the issues through which authorities can identify wrong information and deal with it. Officials and crisis managers can identify the fundamental gaps in society and take action to solve them by obtaining public information. In social networks, due to the existence of two types of official and unofficial information, the flow of communication is also two-way. This means that both people and authorities send and receive information. As a result, the main focus of crisis informatics is information. These findings show that providing information during a crisis, especially health information to accident victims, is still a challenge, despite the commonality of crisis informatics and information science, no independent research has yet addressed this issue. At the same time, the common point of information science and informatics is the crisis and the main topic of both information. Information science specialists can play an essential role in crisis informatics due to their capacities to produce reliable information, verify information, manage and set up information systems, create databases, and facilitate and accelerate information recovery.
Conclusion: Crisis informatics is a field of study that has received much attention and is proliferating. And its importance during the last decade has made it a subject area of research activities. This relatively new field has emerged to ensure that the full potential of information and communication technologies is maximized to improve decisions and actions at various stages of crisis management. Examining the definitions shows that crisis informatics is sometimes defined only in interaction with social networks (Palen et al., 2020), and sometimes it is generally understood in interaction with technology (Soden, 2017; Palen et al., 2009). In some cases, it has been proposed as a social system that is created as a result of communication between different groups (Soden, 2017; Palen and Soden, 2018; Palen and Anderson, 2016). But the commonality of all the above definitions can be seen as the existence of the social system and the interaction of humans and information. This field collects data from social reactions to crises and incidents and analyzes the results. Based on this, crisis informatics can be defined as the response of human groups to crises and incidents in the context of information technology. The increasing importance of social media in conflicts and crises has made people use them with more interest. People share feelings, thoughts and images with their friends on these media. During the crisis, this process increases. Most important events are quickly released to the public before they even hit the news. Although information on social networks may contain true and false information, including rumors. But these media are among the most important media for providing information about accidents and the condition of people who have been injured. Research on crisis informatics and social media has also shown that emergency services departments can use social media to obtain valuable information (e. g. eyewitness reports, images, or videos) that help them Inform about disaster situations so that they can send their immediate aid. Of course, due to the emerging nature of crisis informatics, we can expect to see more precise and more developed definitions in the future. Of course, the maturity of the field of crisis informatics requires providing a comprehensive, accurate, and precise definition, which in this study was tried to be formulated based on the theoretical background of the research.
The review of informatics literature also showed that this emerging field is an interdisciplinary research field that includes several different disciplines. Among them, the field of information and communication technology, health/medicine, and information systems play the most crucial role. It was also found that despite the centrality of information and its importance in the crisis, so far no research has been done on the role of information science and information specialists in informatics. Because information is very critical in all stages of a crisis and, accordingly, crisis informatics, the field of information science can play a crucial role in the best performance of crisis informatics. Validation of information was identified as one of the functions of this field, because the combination of a large volume of official information sources and content produced by citizens adds to the information load in crises. This increases uncertainty and difficulty in deciding who and what sources are trustworthy. Deciding which information providers and sources to trust in a crisis is very essential because acting on reliable information can shape and influence the nature of the crisis. Verification of the accuracy of this information can be done by experts in the field of information science.
Providing the information needs of people involved in the crisis, such as citizens, organizations, non-governmental groups, etc., can also be included in the scope of the duties of specialists in the field of information science. One of the primary needs after a crisis is accurate information, and this is what information specialists and librarians are trained for. This group can provide critical information to support the performance of local authorities, emergency managers, police, fire, and medical personnel. Librarians are trained to provide accurate information in various formats and are fast to solve problems. Most importantly, the general public considers librarians to be closer, more accessible, and more reliable than the employees of government agencies. Also, the organization of information recovery tools can be part of the roles of this field in crisis informatics. Controlling and directing the correct flow of information, and designing and implementing banks and information systems are also included in the activities of specialists in the field of information science. Summarized to the "right" person at the "right" time using a suitable platform for specific needs and groups. With population growth and ecological changes (such as climate changes, nature changes, and the destruction of many non-renewable natural resources), it is necessary to think of measures to prevent abnormal events in emergencies. The emergence of artificial intelligence technology and its use in information systems as well as social networks promises that the use of this technology will be fruitful in investigating the possibility of accidents and it is easy to provide people with the correct information in an intelligent way. Also, the authorities will strengthen their communication with the community through this technology. Promoting smartphones and increasing bandwidth to high-risk areas will also facilitate data recovery in times of crisis and increase self-organization among people affected by accidents.
Methods: The current research was conducted using a library method with an analytical approach and after reviewing previous studies to identify concepts related to the concept of crisis informatics. In this study, researchers first searched for materials related to the purpose of the research using keywords (crisis informatics, disaster informatics, informatics patterns of crisis, information science and crisis, information science and disasters, crisis informatics in disasters and social media) in databases including Google Scholar, Emerald, WebOscience, Scopus, ScienceDirect paid. The researchers examined the recovered. After reviewing the found texts, the researchers selected the related materials based on the purpose of the research and presented them in this article. In this research, by examining the concept, history, and patterns of information flow in crisis informatics and the role of information science specialists, an analytical review has been made on the importance of the role and position of information science specialists as crisis informatics in times of crisis.
Findings: The findings showed that although the importance of social media in a crisis is critical to researchers and many studies have covered it and paid attention to its role in gathering information during a crisis as well as providing aid, so far Informing people when dangerous events occur in social networks has not been given serious attention. Self-coordination through social media among citizens and providing aid to fellow citizens, through the advice of shared posts, helps to improve crisis conditions, and authorities use media for public communication during a crisis. However, obstacles such as the lack of personnel to verify and disseminate information are still challenges to the efficient use of social media by authorities. Also, data mining of citizens' behaviors is one of the issues through which authorities can identify wrong information and deal with it. Officials and crisis managers can identify the fundamental gaps in society and take action to solve them by obtaining public information. In social networks, due to the existence of two types of official and unofficial information, the flow of communication is also two-way. This means that both people and authorities send and receive information. As a result, the main focus of crisis informatics is information. These findings show that providing information during a crisis, especially health information to accident victims, is still a challenge, despite the commonality of crisis informatics and information science, no independent research has yet addressed this issue. At the same time, the common point of information science and informatics is the crisis and the main topic of both information. Information science specialists can play an essential role in crisis informatics due to their capacities to produce reliable information, verify information, manage and set up information systems, create databases, and facilitate and accelerate information recovery.
Conclusion: Crisis informatics is a field of study that has received much attention and is proliferating. And its importance during the last decade has made it a subject area of research activities. This relatively new field has emerged to ensure that the full potential of information and communication technologies is maximized to improve decisions and actions at various stages of crisis management. Examining the definitions shows that crisis informatics is sometimes defined only in interaction with social networks (Palen et al., 2020), and sometimes it is generally understood in interaction with technology (Soden, 2017; Palen et al., 2009). In some cases, it has been proposed as a social system that is created as a result of communication between different groups (Soden, 2017; Palen and Soden, 2018; Palen and Anderson, 2016). But the commonality of all the above definitions can be seen as the existence of the social system and the interaction of humans and information. This field collects data from social reactions to crises and incidents and analyzes the results. Based on this, crisis informatics can be defined as the response of human groups to crises and incidents in the context of information technology. The increasing importance of social media in conflicts and crises has made people use them with more interest. People share feelings, thoughts and images with their friends on these media. During the crisis, this process increases. Most important events are quickly released to the public before they even hit the news. Although information on social networks may contain true and false information, including rumors. But these media are among the most important media for providing information about accidents and the condition of people who have been injured. Research on crisis informatics and social media has also shown that emergency services departments can use social media to obtain valuable information (e. g. eyewitness reports, images, or videos) that help them Inform about disaster situations so that they can send their immediate aid. Of course, due to the emerging nature of crisis informatics, we can expect to see more precise and more developed definitions in the future. Of course, the maturity of the field of crisis informatics requires providing a comprehensive, accurate, and precise definition, which in this study was tried to be formulated based on the theoretical background of the research.
The review of informatics literature also showed that this emerging field is an interdisciplinary research field that includes several different disciplines. Among them, the field of information and communication technology, health/medicine, and information systems play the most crucial role. It was also found that despite the centrality of information and its importance in the crisis, so far no research has been done on the role of information science and information specialists in informatics. Because information is very critical in all stages of a crisis and, accordingly, crisis informatics, the field of information science can play a crucial role in the best performance of crisis informatics. Validation of information was identified as one of the functions of this field, because the combination of a large volume of official information sources and content produced by citizens adds to the information load in crises. This increases uncertainty and difficulty in deciding who and what sources are trustworthy. Deciding which information providers and sources to trust in a crisis is very essential because acting on reliable information can shape and influence the nature of the crisis. Verification of the accuracy of this information can be done by experts in the field of information science.
Providing the information needs of people involved in the crisis, such as citizens, organizations, non-governmental groups, etc., can also be included in the scope of the duties of specialists in the field of information science. One of the primary needs after a crisis is accurate information, and this is what information specialists and librarians are trained for. This group can provide critical information to support the performance of local authorities, emergency managers, police, fire, and medical personnel. Librarians are trained to provide accurate information in various formats and are fast to solve problems. Most importantly, the general public considers librarians to be closer, more accessible, and more reliable than the employees of government agencies. Also, the organization of information recovery tools can be part of the roles of this field in crisis informatics. Controlling and directing the correct flow of information, and designing and implementing banks and information systems are also included in the activities of specialists in the field of information science. Summarized to the "right" person at the "right" time using a suitable platform for specific needs and groups. With population growth and ecological changes (such as climate changes, nature changes, and the destruction of many non-renewable natural resources), it is necessary to think of measures to prevent abnormal events in emergencies. The emergence of artificial intelligence technology and its use in information systems as well as social networks promises that the use of this technology will be fruitful in investigating the possibility of accidents and it is easy to provide people with the correct information in an intelligent way. Also, the authorities will strengthen their communication with the community through this technology. Promoting smartphones and increasing bandwidth to high-risk areas will also facilitate data recovery in times of crisis and increase self-organization among people affected by accidents.
Atefeh Heshmatzadeh, Dr Hamidreza Amel Ardestan, Farshid Aslani,
Volume 10, Issue 4 (3-2024)
Volume 10, Issue 4 (3-2024)
Abstract
Purpose:Health systems are under pressure to improve their performance due to facing issues such as a sharp increase in expenses, safety, quality and justice, as well as the aging of the population, the spread of infectious diseases. Improving the performance of health systems requires that they work systematically Job performance refers to employee behavior that contributes to the organization's effectiveness. They suggest three possible reasons for the possible effect of knowledge hiding on job performance: First, knowledge hiding reduces the availability of knowledge to facilitate better performance. Secondly, employees who hide knowledge tend to have a mindset that they do not trust the support of other colleagues. The predictable result is that performance decreases. Finally, if knowledge collectors know that someone is hiding their knowledge, trust will decrease (Jiao and Cook, 2018). Therefore, hiding knowledge often reduces employee job performance for three reasons: reduced decision making, problem solving, and creativity (Davenport et al., 2016). Organizational pessimism is one of the topics of organizational behavior that has been raised recently, and its existence can have a negative impact on employee performance and organizational productivity, as well as individual health. Pessimism in the organization, before it is a personality trait, is a learned reaction that occurs among employees and is formed and increased in most cases due to a series of negative communications between employees and managers of the organization (Larinkova, 2017). A large number of employees tend to make deliberate efforts to hide tacit knowledge in organizations, which leads to many negative consequences such as repetitive efforts or reduced job performance (Beijer, Pechi, Veldhoven, & Paure, 2021). One of the reasons for hiding knowledge by employees is that they want to get a superior position and have the positive evaluation of others. It is achieved and also because of the fear of hosting "knowledge parasites" who only want to use the benefits of knowledge. Sometimes, hiding knowledge is done with the aim of avoiding its negative aspects, such as disclosing information to competitors. In addition, personality traits and cultural factors may affect knowledge concealment behavior, those who are not talkative are usually introverted in sharing knowledge with colleagues (Arshad and Ismail, 2018). Knowledge sharing has an effect on increasing efficiency, improving quality and increasing the competitive advantages of organizations, and therefore, organization leaders seek to find ways to increase knowledge sharing (Zhou and Jia, 2019). Leadership style is also very effective in the organization, transformational leaders based on interactive methods with their employees can increase the psychological capacity of employees and ultimately reduce negative attitudes such as organizational pessimism. Transformational leadership has a positive effect on knowledge sharing behavior. Leaders who have more relationships with employees can have a great impact on employees' attitudes and behaviors and ultimately on their level of pessimism. Leaders establish interactive relationships with employees by providing benefits and advantages such as fair and just treatment, support or independence of action. Through transformational leadership, employees can be encouraged, inspired and motivated to innovate, make them accept changes, endure more challenges and help in the development of the organization, as well as transformational leadership by establishing a connection between individual interests and Collectively, they make more efforts of employees to achieve the lofty goals of the organization and they are trying to change and transform in line with the goals and programs of the organization and according to the conditions. (Hosseini, Raij, Stiri Sharifi, 2010) Considering the basic role of health deputy in providing primary services and to some extent secondary services in Iran's health system and also considering the important and serious duties of the employees in the field of health deputy in order to maintain and improve the health of the society and since improving the performance of health deputies It can ultimately lead to the improvement of health indicators, so increasing performance and improving performance is more important than other organizations. Achieving goals in the health system depends on the correct and appropriate performance of employees, continuous and dynamic changes in the health needs of people and the expectations of people from the health system, requires the presence of knowledgeable and optimistic employees in the organization.The Deputy of Health plays a fundamental role in providing primary and to some extent secondary healthcare services in the healthcare system of Iran, and employees in the field of Deputy of Health have important and serious duties in maintaining and promoting community health. Since improving the performance of health deputies can ultimately lead to the improvement of health indices.Therefore, it is very important to know the influencing factors on increasing performance in any organization. Since no study has been conducted in this regard in Isfahan province's deputy health department and most of the studied studies have been conducted in areas outside the health department, which are different from this area in terms of the nature of work, so the importance and necessity of implementing The current research is clear and based on this, the main goal of the present research is to explain the role of pessimism in the job performance of employees of Isfahan University of Medical Sciences' Vice-Chancellor of Health with regard to the mediating role of hiding knowledge and moderating transformational leadership.
Research Methodology:The current research is a descriptive study, from the point of view of practical purpose and from the point of view of data collection, it is a survey type. The statistical population of the current research was all the employees of the Health Vice-Chancellor of Isfahan University of Medical Sciences, numbering 235 people. According to Morgan's table, the number of samples was 140 people. But to ensure return, 200 people were selected as a sample by simple random method. This research was conducted at the health center headquarters of Isfahan University of Medical Sciences and the data obtained from questionnaires completed in the winter of 2011 were analyzed. The method of data collection was library and field methods. In the field method, to measure research variables, standard cynicism questionnaires with 5 items (Maslash et al., 1996), knowledge concealment questionnaire with 4 items (Peng, 2012), job performance questionnaire with 5 items (Chiang and Hsieh, 2012) ) and transformational leadership questionnaire with 4 items (Dai et al., 2013) were used. The spectrum used in the questionnaire is based on the five-choice Likert spectrum. The face validity of the questionnaire was checked and confirmed by experts. Convergent validity was also checked and confirmed with the average variance extracted. Cronbach's alpha was used to check the reliability of the questionnaire, which was obtained and confirmed for the variables of cynicism (0.838), knowledge concealment (0.833), performance (0.822) and transformational leadership (0.927), respectively. Due to maintaining the confidentiality of personnel information, questionnaires were distributed anonymously among the employees. Descriptive and inferential statistics methods were used to analyze the data. For the descriptive analysis of variables and data, statistics such as mean, standard deviation and kurtosis are used. Data analysis was done by structural equation modeling and SPSS25 and Smart pls3 software.
Findings: The results showed that pessimism has a significant effect on the job performance of health assistant staff of Isfahan University of Medical Sciences. Also, pessimism has a significant effect on the knowledge concealment of health staff of Isfahan University of Medical Sciences. But other relationships were not confirmed.
Conclusion: The most important determining factor in achieving organizational goals is the human resources of that organization. Organizational pessimism is one of the topics of organizational behavior and one of the important and influential factors on the performance of employees of any organization, the existence of which can negatively affect the performance of employees, organizational efficiency, and also individual well-being. The present study investigates the role of pessimism in the job performance of employees of the Deputy of Health of Isfahan University of Medical Sciences, considering the mediating role of knowledge hiding and the moderating role of transformational leadership.
In examining the impact of pessimism on the job performance of employees, considering the coefficient obtained for the intensity of the relationship between pessimism and job performance and examining the level of significance, a weak significant relationship has been found, indicating a weak inverse relationship between pessimism and job performance. Therefore, with an increase in the pessimism of the employees of the health deputy, their job performance decreases.
Furthermore, Soufiani and Safandiaz (2017) concluded in their research that organizational pessimism has a significant negative impact on job performance. By examining the coefficient obtained for the intensity of the relationship between pessimism and knowledge hiding, and also examining the level of significance, we reach a moderate relationship between these two factors, indicating the significant number obtained and the presence of a moderate correlation between pessimism and knowledge hiding. Therefore, it can be concluded that the higher the pessimism among employees, the more likely organizational knowledge hiding behaviors occur. In a study by Babaei Meybodi and Alirezaei (2019), similar results were obtained, showing that rational knowledge hiding has a positive effect on job performance satisfaction as an intermediary role.
Jiang, Wang, and Jiang (2019) also in their research titled "Hiding Knowledge as a Barrier to Flourishing and the Mediating Role of Mental Security and the Moderating Role of Organizational Pessimism" concluded that the negative effect of hiding knowledge on mental security is higher at higher levels of organizational pessimism. The results of the research by Neguineh and Maleki (2022) also showed that pessimism has a positive effect on knowledge hiding behavior, and therefore, reducing pessimism can reduce knowledge hiding behavior and indirectly affect the job performance of employees.
One of the reasons why employees hide their knowledge is pessimism. It seems that there are reasons that strengthen pessimism, leading to a meaningful relationship between pessimism and knowledge hiding. One of these reasons is the belief that "knowledge brings power". Knowledge has been considered in many past studies as a factor of power, survival, and job security in the organization. Many employees still hold such beliefs, which lead to "distrust of the opposite person" and make them first assess the level of trust in the opposite person when requested for knowledge and then react to the request.
The results of hypothesis testing showed that there is a significant negative relationship between pessimism and job performance and also a positive and significant relationship between pessimism and knowledge hiding. No correlation between knowledge hiding and job performance was observed. In this regard, the results of the present study showed that pessimism and negative moods of employees have a negative impact on their performance and provide grounds for knowledge hiding. Since pessimism has many negative consequences for the organization, management should identify the factors affecting organizational pessimism, the precursors of creating negative emotions and moods in employees, and also consider the consequences that pessimism will have for the organization and employees, to control and minimize its negative consequences, by creating opportunities and places for expressing problems, needs, conflicts, and harassment that threaten employees, try to create a trusting atmosphere among employees. This action can help employees re-evaluate their mindset and reduce knowledge hiding behaviors
Research Methodology:The current research is a descriptive study, from the point of view of practical purpose and from the point of view of data collection, it is a survey type. The statistical population of the current research was all the employees of the Health Vice-Chancellor of Isfahan University of Medical Sciences, numbering 235 people. According to Morgan's table, the number of samples was 140 people. But to ensure return, 200 people were selected as a sample by simple random method. This research was conducted at the health center headquarters of Isfahan University of Medical Sciences and the data obtained from questionnaires completed in the winter of 2011 were analyzed. The method of data collection was library and field methods. In the field method, to measure research variables, standard cynicism questionnaires with 5 items (Maslash et al., 1996), knowledge concealment questionnaire with 4 items (Peng, 2012), job performance questionnaire with 5 items (Chiang and Hsieh, 2012) ) and transformational leadership questionnaire with 4 items (Dai et al., 2013) were used. The spectrum used in the questionnaire is based on the five-choice Likert spectrum. The face validity of the questionnaire was checked and confirmed by experts. Convergent validity was also checked and confirmed with the average variance extracted. Cronbach's alpha was used to check the reliability of the questionnaire, which was obtained and confirmed for the variables of cynicism (0.838), knowledge concealment (0.833), performance (0.822) and transformational leadership (0.927), respectively. Due to maintaining the confidentiality of personnel information, questionnaires were distributed anonymously among the employees. Descriptive and inferential statistics methods were used to analyze the data. For the descriptive analysis of variables and data, statistics such as mean, standard deviation and kurtosis are used. Data analysis was done by structural equation modeling and SPSS25 and Smart pls3 software.
Findings: The results showed that pessimism has a significant effect on the job performance of health assistant staff of Isfahan University of Medical Sciences. Also, pessimism has a significant effect on the knowledge concealment of health staff of Isfahan University of Medical Sciences. But other relationships were not confirmed.
Conclusion: The most important determining factor in achieving organizational goals is the human resources of that organization. Organizational pessimism is one of the topics of organizational behavior and one of the important and influential factors on the performance of employees of any organization, the existence of which can negatively affect the performance of employees, organizational efficiency, and also individual well-being. The present study investigates the role of pessimism in the job performance of employees of the Deputy of Health of Isfahan University of Medical Sciences, considering the mediating role of knowledge hiding and the moderating role of transformational leadership.
In examining the impact of pessimism on the job performance of employees, considering the coefficient obtained for the intensity of the relationship between pessimism and job performance and examining the level of significance, a weak significant relationship has been found, indicating a weak inverse relationship between pessimism and job performance. Therefore, with an increase in the pessimism of the employees of the health deputy, their job performance decreases.
Furthermore, Soufiani and Safandiaz (2017) concluded in their research that organizational pessimism has a significant negative impact on job performance. By examining the coefficient obtained for the intensity of the relationship between pessimism and knowledge hiding, and also examining the level of significance, we reach a moderate relationship between these two factors, indicating the significant number obtained and the presence of a moderate correlation between pessimism and knowledge hiding. Therefore, it can be concluded that the higher the pessimism among employees, the more likely organizational knowledge hiding behaviors occur. In a study by Babaei Meybodi and Alirezaei (2019), similar results were obtained, showing that rational knowledge hiding has a positive effect on job performance satisfaction as an intermediary role.
Jiang, Wang, and Jiang (2019) also in their research titled "Hiding Knowledge as a Barrier to Flourishing and the Mediating Role of Mental Security and the Moderating Role of Organizational Pessimism" concluded that the negative effect of hiding knowledge on mental security is higher at higher levels of organizational pessimism. The results of the research by Neguineh and Maleki (2022) also showed that pessimism has a positive effect on knowledge hiding behavior, and therefore, reducing pessimism can reduce knowledge hiding behavior and indirectly affect the job performance of employees.
One of the reasons why employees hide their knowledge is pessimism. It seems that there are reasons that strengthen pessimism, leading to a meaningful relationship between pessimism and knowledge hiding. One of these reasons is the belief that "knowledge brings power". Knowledge has been considered in many past studies as a factor of power, survival, and job security in the organization. Many employees still hold such beliefs, which lead to "distrust of the opposite person" and make them first assess the level of trust in the opposite person when requested for knowledge and then react to the request.
The results of hypothesis testing showed that there is a significant negative relationship between pessimism and job performance and also a positive and significant relationship between pessimism and knowledge hiding. No correlation between knowledge hiding and job performance was observed. In this regard, the results of the present study showed that pessimism and negative moods of employees have a negative impact on their performance and provide grounds for knowledge hiding. Since pessimism has many negative consequences for the organization, management should identify the factors affecting organizational pessimism, the precursors of creating negative emotions and moods in employees, and also consider the consequences that pessimism will have for the organization and employees, to control and minimize its negative consequences, by creating opportunities and places for expressing problems, needs, conflicts, and harassment that threaten employees, try to create a trusting atmosphere among employees. This action can help employees re-evaluate their mindset and reduce knowledge hiding behaviors
Safoura Parchami Afra, Seyed Mehdi Mirmehdi,
Volume 10, Issue 4 (3-2024)
Volume 10, Issue 4 (3-2024)
Abstract
Purpose: Internet and electronic services have become an integral part of the life of every member of society. People do many of their jobs, including obtaining and collecting information, buying products, booking hotels, banking services, and downloading movies, books, music, etc., through the Internet. There are various methods to gain the trust of customers in electronic business, one of the methods which is an introduction to the subject of this research is the use of electronic word-of-mouth advertising or E-Wom. In such a way that most of the customers are looking for a better evaluation of the products based on word-of-mouth advertising. Information about products and services shared by customers over the Internet is considered cost-effective; Therefore, information can be shared with many people at the same time with minimal cost. This type of communication not only affects the attitudes and behaviors of consumers but also affects the brand image of customers. Today, applications, e-commerce websites, and social networking platforms such as Instagram, Twitter, and Facebook have created enough space for users to connect with brands. Communication that existed offline in the past has become more interactive. Consumers communicate with customers and other brands through mobile phones, and various social websites such as (Facebook, YouTube, LinkedIn, Twitter, and Instagram) by writing comments and online reviews on these sites. Needless to say, as the importance of online reviews is rapidly increasing. Online reviews are comments made by online visitors or potential customers about a product or service. These reviews are known as a tool for social benchmarking. User-generated content helps businesses build an online presence as well as build trust among design visitors. Online reviews have become an important source of information that allows consumers to seek accurate and reliable information by sharing the experiences of other consumers. A product or service review is made by a consumer who has experienced a service or purchased a product. Reviews are posted online on various platforms by consumers who have used or experienced a product or service. Also, a review of a product or service reflects the opinions and experiences of a customer in purchasing a product or service.Online reviews are becoming important sources of infor-
__________________________________________________________________________
The Journal of Human Information Interaction is supported by Kharazmi University, Tehran, Iran.
This work is published under CC BY-NC-SA 3.0 license.
mation for shoppers, influencing 20-50% of online purchase decisions. Many customers and consumers look for online reviews as the first step when making a purchase. Online reviews play an important role in predicting sales of many products and services and brand trust. Online reviews are as important to business as they are to customers.
There are several reasons why online reviews are important and will help build strong relationships with potential customers as well as increase sales and attract leads.It is very important to identify the factors that cause consumers to write reviews, and consider the acceptance of a new technology. Intention is not only an expression of clarity about the possible course of future action in a particular situation; Rather, it reflects the degree of preparation and intensity of efforts that are expected to lead to the desired outcome. The Technology Acceptance Model (TAM) explains how people's performance of a specific behavior is determined by their behavioral intention for a specific task. TAM is developed to predict the possible adoption of a new technology by an individual or an organization. This model is based on the theory of reasoned action, which explains that behavior is determined by the intention to perform that behavior, attitude towards the behavior, and social pressure to perform that behavior Therefore, the current research was conducted in Hamedan City to investigate the intention of customers to do online review with the technology acceptance approach.
Research method: This research is applied in terms of purpose and descriptive in terms of implementation method. The statistical population of this research was the citizens of Hamedan. the sample size was 7 times the number of questions, i.e., 161 people, which were selected by the available sampling method. The formula 5q≤n≤15q was used to determine the sample size in structural equation studies. Sampling was obtained on the spot and through the online space. The tool for collecting data and information in this research is the use of an online questionnaire, including 21 questions, and data analysis has been done through the structural equation test and the partial least squares method using SPSS and SmartPls software. For construct validity, the measurement model of this research including convergent and divergent validity was conducted using Cronbach's alpha, composite reliability, AVE index, and Fornell and Larcker table. Composite reliability and Cronbach's alpha coefficient should be at least 0.7, which is acceptable based on the findings obtained from data analysis. The AVE index and factor loadings should also be greater than 0.5, which showed an acceptable value based on the results obtained from the data analysis.
According to the criteria of Fornell and Larker, a structural model should have more dispersion among its observables in comparison to other model structures, to be able to say that the hidden variable in question has high diagnostic validity. Therefore, the root mean extracted from each hidden variable must be greater than the maximum correlation of that hidden variable with other hidden variables. The results of the Fornell-Larker test showed that all the values on the main diameter are greater than the values in the corresponding column, which indicates that the used model has acceptable validity.
Findings: This research was conducted to investigate the intention of online reviews by customers according to the technology acceptance approach. According to the purpose and conceptual model of the research, seven hypotheses have been defined for examination. According to the results obtained from the structural equation method, the hypothesis of the significant effect of subjective norms on the perceived usefulness of online reviews is confirmed, and also based on the positiveness of the path coefficient, its effect is also direct. That is, the higher the subjective norms, the greater the understand
__________________________________________________________________________
The Journal of Human Information Interaction is supported by Kharazmi University, Tehran, Iran.
This work is published under CC BY-NC-SA 3.0 license.
ing of the usefulness of online reviews. Based on the obtained results, the hypothesis of the significant effect of subjective norms on the perception of ease of use was confirmed. Also, due to the positive path coefficient, this effect is direct. That is, the higher the subjective norms of people concerning writing an online review, the greater the perception of ease of use.
So, it can be concluded that when people notice the approval and acceptance of their online opinions by other people and understand that their opinions give other people a correct understanding of the product and service, it causes learning. It is easier for these people to write online comments on the Digikala site than for other people; Therefore, it creates the thought in these people that writing online comments is simple and easy for other people as well. According to the findings, the hypothesis of a significant effect of perceived behavioral control on the perceived usefulness of writing online comments has been confirmed. Due to the positiveness of the path coefficient, this hypothesis has a direct effect. That is, the greater the perceived behavioral control for writing an online review, the greater the usefulness. Considering the results of the research, the effect of perceived behavioral control on the perception of ease of use for writing online reviews by customers has been confirmed. That is, the more a person's behavioral control for writing an online review, the greater the perceived ease of use. According to the confirmation of this hypothesis, it can be concluded that having self-confidence, sufficient resources, opportunity and confidence in their opinions gives users a correct understanding of its simplicity and therefore it is easier for them to write online comments on the Digikala site. Therefore, this mentality is created for them that it is easy to write an online review on the Digikala site. According to the results, the hypothesis of a significant effect of perceived usefulness on the customer's attitude towards writing an online review has been confirmed. Considering the positive path coefficient of this hypothesis, its effect is also direct. That is, the higher the perceived usefulness of writing an online review, the more positive the users' attitude is. It can be concluded that to increase the attitude of users about writing online reviews, the role of these comments in increasing the information of other users and improving the performance and its role in purchasing the product and in general the usefulness of these comments should be understood. Based on the results of this research, the hypothesis of a significant effect of the perceived ease of use on the customer's attitude towards writing an online review was not confirmed and the hypothesis was rejected; Therefore, it can be concluded that the simplicity and ease of writing an online review on the Digikala site does not affect the users' attitude and other factors change the customers' attitude. The results obtained from this research show that the hypothesis of the significant effect of attitude on the customer's intention to write an online review has been confirmed. Due to the positive path coefficient, this effect is direct. That is, the more a person's attitude towards writing an online review is, the more the users will intend to do it; Therefore, it can be concluded that if writing online comments increases the awareness of consumers and changes their attitude, and also causes the transfer of positive and negative feelings about the products and services of the Digikala website, it makes users more intent to write online reviews.
Conclusion: Based on the present research, the online review intention can be explained by the technology acceptance approach. Based on this, having a favorable attitude towards online reviews is the basis of the intention to do it. Also, most of the variables related to the technology acceptance
__________________________________________________________________________
The Journal of Human Information Interaction is supported by Kharazmi University, Tehran, Iran.
This work is published under CC BY-NC-SA 3.0 license.
model shape the attitude toward online reviews. Therefore, paying attention to these variables is vital for those active in the field of electronic retailers.According to the confirmation of the first and second hypotheses regarding the positive and meaningful effect of subjective norms on the perceived usefulness and perceived ease of use, a trained and organized team can be deployed in the DigiKala organization and encourage and accept the online reviews of customers. and remind them that their online comments will make other users understand the products and services correctly and introduce writing online comments as an easy and simple task. According to the confirmation of the third and fourth hypothesis, which shows the positive and significant effect of perceived behavioral control on perceived usefulness and perceived ease of use, facilities such as praise and discount, as well as assuring users of their purchase, can increase the confidence of users. Also, due to the correct understanding of the beneficial effect of their comments on other users, and also considering the various ways to increase the self-confidence of users, he reminded them of the ease of writing online reviews and encouraged them to write online reviews. participate Considering that the fifth hypothesis is based on the confirmation of the positive and meaningful effect of perceived usefulness on users' attitudes, it is possible to write about the advantages and Positive Effects of Online Reviews on Payment Purchase Decisions. It is also possible to increase users' information about online reviews, which will change users' attitudes and encourage them to write online comments. According to the confirmation of the seventh hypothesis, which shows the positive and significant effect of the user's attitude toward writing an online review on the intention to write an online review, the DigiKala organization can educate users that online comments will increase their awareness. Also, these comments will convey positive and negative feelings about products and services so that users can use these comments before buying. Considering the importance of the role of online review in creating trust and selling more products, it is suggested that the role of online review be done for other areas in the e-commerce industry, such as tourism in Iran, buying and selling tickets, etc. The wider statistical community including the big cities of Iran that have a history of buying and using e-commerce services and online reviews should be considered to obtain more accurate and extensive results in this matter. It is useful to add variables as mediating variables or moderators related to the variables in this research to achieve more accurate results. The role of users' personalities and the moderating role of demographic variables can also be studied in the future to obtain a comprehensive understanding of online review behaviors.
__________________________________________________________________________
The Journal of Human Information Interaction is supported by Kharazmi University, Tehran, Iran.
This work is published under CC BY-NC-SA 3.0 license.
mation for shoppers, influencing 20-50% of online purchase decisions. Many customers and consumers look for online reviews as the first step when making a purchase. Online reviews play an important role in predicting sales of many products and services and brand trust. Online reviews are as important to business as they are to customers.
There are several reasons why online reviews are important and will help build strong relationships with potential customers as well as increase sales and attract leads.It is very important to identify the factors that cause consumers to write reviews, and consider the acceptance of a new technology. Intention is not only an expression of clarity about the possible course of future action in a particular situation; Rather, it reflects the degree of preparation and intensity of efforts that are expected to lead to the desired outcome. The Technology Acceptance Model (TAM) explains how people's performance of a specific behavior is determined by their behavioral intention for a specific task. TAM is developed to predict the possible adoption of a new technology by an individual or an organization. This model is based on the theory of reasoned action, which explains that behavior is determined by the intention to perform that behavior, attitude towards the behavior, and social pressure to perform that behavior Therefore, the current research was conducted in Hamedan City to investigate the intention of customers to do online review with the technology acceptance approach.
Research method: This research is applied in terms of purpose and descriptive in terms of implementation method. The statistical population of this research was the citizens of Hamedan. the sample size was 7 times the number of questions, i.e., 161 people, which were selected by the available sampling method. The formula 5q≤n≤15q was used to determine the sample size in structural equation studies. Sampling was obtained on the spot and through the online space. The tool for collecting data and information in this research is the use of an online questionnaire, including 21 questions, and data analysis has been done through the structural equation test and the partial least squares method using SPSS and SmartPls software. For construct validity, the measurement model of this research including convergent and divergent validity was conducted using Cronbach's alpha, composite reliability, AVE index, and Fornell and Larcker table. Composite reliability and Cronbach's alpha coefficient should be at least 0.7, which is acceptable based on the findings obtained from data analysis. The AVE index and factor loadings should also be greater than 0.5, which showed an acceptable value based on the results obtained from the data analysis.
According to the criteria of Fornell and Larker, a structural model should have more dispersion among its observables in comparison to other model structures, to be able to say that the hidden variable in question has high diagnostic validity. Therefore, the root mean extracted from each hidden variable must be greater than the maximum correlation of that hidden variable with other hidden variables. The results of the Fornell-Larker test showed that all the values on the main diameter are greater than the values in the corresponding column, which indicates that the used model has acceptable validity.
Findings: This research was conducted to investigate the intention of online reviews by customers according to the technology acceptance approach. According to the purpose and conceptual model of the research, seven hypotheses have been defined for examination. According to the results obtained from the structural equation method, the hypothesis of the significant effect of subjective norms on the perceived usefulness of online reviews is confirmed, and also based on the positiveness of the path coefficient, its effect is also direct. That is, the higher the subjective norms, the greater the understand
__________________________________________________________________________
The Journal of Human Information Interaction is supported by Kharazmi University, Tehran, Iran.
This work is published under CC BY-NC-SA 3.0 license.
ing of the usefulness of online reviews. Based on the obtained results, the hypothesis of the significant effect of subjective norms on the perception of ease of use was confirmed. Also, due to the positive path coefficient, this effect is direct. That is, the higher the subjective norms of people concerning writing an online review, the greater the perception of ease of use.
So, it can be concluded that when people notice the approval and acceptance of their online opinions by other people and understand that their opinions give other people a correct understanding of the product and service, it causes learning. It is easier for these people to write online comments on the Digikala site than for other people; Therefore, it creates the thought in these people that writing online comments is simple and easy for other people as well. According to the findings, the hypothesis of a significant effect of perceived behavioral control on the perceived usefulness of writing online comments has been confirmed. Due to the positiveness of the path coefficient, this hypothesis has a direct effect. That is, the greater the perceived behavioral control for writing an online review, the greater the usefulness. Considering the results of the research, the effect of perceived behavioral control on the perception of ease of use for writing online reviews by customers has been confirmed. That is, the more a person's behavioral control for writing an online review, the greater the perceived ease of use. According to the confirmation of this hypothesis, it can be concluded that having self-confidence, sufficient resources, opportunity and confidence in their opinions gives users a correct understanding of its simplicity and therefore it is easier for them to write online comments on the Digikala site. Therefore, this mentality is created for them that it is easy to write an online review on the Digikala site. According to the results, the hypothesis of a significant effect of perceived usefulness on the customer's attitude towards writing an online review has been confirmed. Considering the positive path coefficient of this hypothesis, its effect is also direct. That is, the higher the perceived usefulness of writing an online review, the more positive the users' attitude is. It can be concluded that to increase the attitude of users about writing online reviews, the role of these comments in increasing the information of other users and improving the performance and its role in purchasing the product and in general the usefulness of these comments should be understood. Based on the results of this research, the hypothesis of a significant effect of the perceived ease of use on the customer's attitude towards writing an online review was not confirmed and the hypothesis was rejected; Therefore, it can be concluded that the simplicity and ease of writing an online review on the Digikala site does not affect the users' attitude and other factors change the customers' attitude. The results obtained from this research show that the hypothesis of the significant effect of attitude on the customer's intention to write an online review has been confirmed. Due to the positive path coefficient, this effect is direct. That is, the more a person's attitude towards writing an online review is, the more the users will intend to do it; Therefore, it can be concluded that if writing online comments increases the awareness of consumers and changes their attitude, and also causes the transfer of positive and negative feelings about the products and services of the Digikala website, it makes users more intent to write online reviews.
Conclusion: Based on the present research, the online review intention can be explained by the technology acceptance approach. Based on this, having a favorable attitude towards online reviews is the basis of the intention to do it. Also, most of the variables related to the technology acceptance
__________________________________________________________________________
The Journal of Human Information Interaction is supported by Kharazmi University, Tehran, Iran.
This work is published under CC BY-NC-SA 3.0 license.
model shape the attitude toward online reviews. Therefore, paying attention to these variables is vital for those active in the field of electronic retailers.According to the confirmation of the first and second hypotheses regarding the positive and meaningful effect of subjective norms on the perceived usefulness and perceived ease of use, a trained and organized team can be deployed in the DigiKala organization and encourage and accept the online reviews of customers. and remind them that their online comments will make other users understand the products and services correctly and introduce writing online comments as an easy and simple task. According to the confirmation of the third and fourth hypothesis, which shows the positive and significant effect of perceived behavioral control on perceived usefulness and perceived ease of use, facilities such as praise and discount, as well as assuring users of their purchase, can increase the confidence of users. Also, due to the correct understanding of the beneficial effect of their comments on other users, and also considering the various ways to increase the self-confidence of users, he reminded them of the ease of writing online reviews and encouraged them to write online reviews. participate Considering that the fifth hypothesis is based on the confirmation of the positive and meaningful effect of perceived usefulness on users' attitudes, it is possible to write about the advantages and Positive Effects of Online Reviews on Payment Purchase Decisions. It is also possible to increase users' information about online reviews, which will change users' attitudes and encourage them to write online comments. According to the confirmation of the seventh hypothesis, which shows the positive and significant effect of the user's attitude toward writing an online review on the intention to write an online review, the DigiKala organization can educate users that online comments will increase their awareness. Also, these comments will convey positive and negative feelings about products and services so that users can use these comments before buying. Considering the importance of the role of online review in creating trust and selling more products, it is suggested that the role of online review be done for other areas in the e-commerce industry, such as tourism in Iran, buying and selling tickets, etc. The wider statistical community including the big cities of Iran that have a history of buying and using e-commerce services and online reviews should be considered to obtain more accurate and extensive results in this matter. It is useful to add variables as mediating variables or moderators related to the variables in this research to achieve more accurate results. The role of users' personalities and the moderating role of demographic variables can also be studied in the future to obtain a comprehensive understanding of online review behaviors.
Miss Maryam Emamverdi*, Dr Fatemeh Fahimnia, Dr Sepideh Fahimifar,
Volume 10, Issue 4 (3-2024)
Volume 10, Issue 4 (3-2024)
Abstract
Background and Purpose: In digital humanities, citizens encounter in the creation and consumption of cultural resources, with activities such as transcription and transliteration of text, text correction, punctuation, Classification, description of metadata, labeling, division and annotation of features leading to the enrichment of digitization or production Digital corpuses with different types of annotations. Digital Annotation Tools (DAT) facilitate the development of new digital-based reading strategies and allow learners to highlight digital texts and add textual, video, and image annotations. Social annotation can become a "novice art" for teaching literature. Also, citizen science projects emphasize that education should be considered as a high priority goal. The successful development of a practical method to use the collaborative annotation system to increase the academic output of digital humanities researchers and improve reading in the digital space is still a valuable research topic. Computer-aided transcription tools can speed up the process of reading and transcribing texts. An automatic method for converting Persian texts into phonetic chains has been presented, but in this context, the problem is not limited to automatic phonetic transcription, where the absence of short vowel letters (short vowels) in replacing Arabic letters with Latin characters (letters) leads to poor readability of transliterated text. Reading skill requires many prerequisites, one of them is phonological awareness. The purpose of this research was to Investigate the changes in users' learning and reading experience using annotation types and Investigate the impact of international transliteration training on users' learning and reading experience.
Materials and methods: The approach of this research was quantitative and the research method was semi-experimental and its design was pre-test-post-test. The statistical population includes 30 non-Persian speakers who had no familiarity with the Persian language. In order to reach the target audience and distribute the questionnaires, some Persian language teaching institutions such as Dehkhoda Institute, Persian language teaching center of universities. Also, the sites of some scientific social networks such as Research Gate, Linkedin and Academia were referred and the profiles of people were observed. In order to carry out the research, 30 non-Persian speaking people were selected from the statistical population using a non-probability and targeted sampling method and were randomly assigned into two experimental and control groups (15 people in the experimental group and 15 people in the control group). In terms of gender, 12 were men and 18 were women (40% men and 60% women). In terms of age group, most of them were between 19 and 50 years old, and the average age was 33 years old. In terms of nationality, 2 Iraqis, 2 Americans, 5 Chinese, 2 French, 3 German, 5 Ukrainian, 1 English, 1 Swiss, 3 Japanese, 1 Canadian, 2 Andalusian, 2 Italian and 1 person was Indian. In terms of education level, 12 people were in the doctoral level, 9 people were in the master's level, and 6 people were in the bachelor's level. An interface was designed to collect data. a few verses of Saadi's poems in which words that have the same written appearance but have completely different pronunciations, meanings and grammatical characteristics, were searched and selected. Depending on whether there are different options for pronouncing words or not, we deliberately included possible but incorrect pronunciations for some random words in the question so that they would listen to the voice of the local announcer and then choose one from among the transliterated words of the poem. In each pre-test and post-test stage, users were faced with 23 disambiguation items (in the form of disambiguation by clicking on the correct option among multiple choice options) and 2 correction items (by typing the correct form in the corresponding field). For all 23 questions, there were real words in the Persian language.To design the intervention activity of international transliteration education, the Persian book of the first year of elementary school and the second and third sections, which include the signs of the Persian language, were used. The structure of each sign (letter) in the book to read consists of five parts: big picture - small pictures with the word - written text - new sign - learning activities. Under each sign and thumbnails of each word, international transliteration and audio file were added. The training files were provided to the experimental group and trainings were provided in 4 sessions of 30 minutes and Skype and Google Meet communication software were used. Users of both groups were evaluated twice (before and after the intervention of international phonetic training). The tools used in this research were two questionnaires to perform practical work, one of which was used in the pre-test phase and the other in the post-test phase. After the pre-test, the experimental group received an interactive training support introducing the work program and IPA (International Phonetic Association, 1999) in order to improve the learning experience and develop the educational structure, while the control group did not receive this intervention during the research process. To calculate the distance between the answer chosen by the user and the correct answer in the poem, the method of calculating phonetic distances by Faradi et al (2019) was used.
Findings: For analysis, three independent variables were identified for each item (question); Two of them were interval variables, i.e., word length and Lonstein's phonological weighted distance between the selected answer and the correct answer, the other parameter was a nominal parameter that indicated whether the correct answer was among the selected options or not. The average scores in the learning and user reading experience of the control group in the pre-test was equal to 18.6 and in the post-test it was equal to 19.8, while the average scores in the learning and user reading experience of the experimental group before the international transliteration training was equal to 19.1 and after the international transliteration training, it increased to 23.2. For this purpose, the t-test of independent groups was used after the international transliteration training. The result of independent group t-test indicates the change of scores in users' learning and reading experience between the two experimental and control group after the international transliteration training. The resulting t (3.08) is greater than the critical table's t (1.96), so it can be said that there is a significant difference between the scores in the learning and reading experience of the users between the two experimental and control groups after the international transliteration training (p 0.05 < ). Therefore, according to the evidence, it can be said that the types of annotations (audio, transliteration) have resulted in a significant change in the learning and reading experience of users. In order to answer the second question, "What effect does international transliteration training have on users' experience in reading Persian language poems?" In the descriptive analysis of the information, first the statistical indicators related to the basic variables of the research were calculated. The results showed that in the pre-test stage, the average distance from the correct answer (error rate) of the experimental group was 4.09 and in the post-test stage it reached 1.1, which shows a significant decrease. In the control group, the average distance from the correct answer (error rate) was equal to 3.4 and in the post-test stage it reached 3.6, which did not change much. According to the quasi-experimental design of this research and the use of pre-test and post-test in it and in order to control the effect of the pre-test in it, to analyze the relevant data, the statistical model of covariance analysis has been implemented. Before running any covariance analysis, it was necessary to have homogeneous regression slopes and a linear relationship between the auxiliary random variable and the dependent variable. For this purpose, the interaction between the random variable and the independent variable has been investigated. On this basis, the assumptions of this statistical method, i.e. the assumption of normality of distribution, equality of error variances and homogeneity of coefficients and regression, have been investigated. In the inferential methods section, in order to answer the second question, "What effect does international transliteration training have on the experience of users in reading Persian language poems?" Between-group covariance analysis was used, and the results are presented in separate tables. Due to the fact that the studied groups have been selected completely randomly in compliance with all conditions, therefore, the distribution of the data was completely normal. Another important assumption of covariance analysis is the homogeneity of regression coefficients. Based on the results, it was observed that the interaction of the pre-test distance from the correct answer (error rate) with the independent variable is significant at the confidence level of 0.95 (p < 0.05). One of the assumptions of covariance analysis is the assumption of equality of error variances (homogeneity of variances), which Levin's F was used to check this assumption (to check the post-test of the dependent variable). Based on the reported results, it was observed that the homogeneity of variances is significant at the confidence level of 0.95 (p < 0.05). In order to analyze the results and changes of the dependent scale of the research, univariate covariance analysis between groups was used. The results showed that considering the pre-test scores "distance from the correct answer (error rate)", the difference between the trained group and the control group is significant in the post-test stage. (p<0.05). Distance from the correct answer (error rate) (F = 12.3). The total effect size is equal to 0.314. Considering the eta square, it can be said that 31.4% of the changes and the reduction of the distance from the correct answer (error rate) are caused by the influence of the independent variable (i.e. intervention and international phonetic training), which is in accordance with Cohen's criteria, close to It is moderate and statistically significant. (p<0.05). Therefore, it can be said that international phonetic training has been effective on the distance from the correct answer (error rate).
Conclusion: Level-based achievement was confirmed in the results of the users' learning and reading tests. Annotations act as an attention strategy. Vocabulary marking and adding various annotations and international transliteration were effective for non-Persian speakers to learn and read Persian poetry.The results of this research also highlight the important role of international phonetic training in phonetic transcription and improving the second language reading experience and show the effectiveness of international phonetic training intervention and phonological memory training as a tool to strengthen second language vocabulary development. The limitations of this research include ignoring the influence of the users' native languages, the difference in the phonological systems of different languages, relatively small sample size, different age groups and different education levels, the influence and relationships of these factors. The output of the text-to-phonetic chain conversion program is used in automatic text-to-speech conversion, correct phonetic writing of texts, teaching Persian to non-Persian speakers, dictionary writing, etc. By performing phonetic transcription work in the form of manual disambiguation or correction, users create a database with possible corrections that are suggested to be used for various purposes, including increasing the accuracy of machine transliteration. Using a digital annotation tool that allows more accurate tracking of how each user interacts with the text (through log files, tracking eye movements in the number of times focusing on a word, attention creation mechanisms) Important points for future empirical work in this field. Implementation of computer-based assessment using machine learning method leads to efficient implementation and improvement of PA skills. Although solutions for computer-based phonological awareness assessment for children have been provided in Persian language, computer-based phonological awareness assessment can also be used in teaching reading literature. Implementation of computer-based assessment using machine learning method leads to efficient implementation and improvement of PA skills. Although solutions for computer-based phonological awareness assessment for children have been provided in Persian language, computer-based phonological awareness assessment can also be considered in teaching reading literature.
Materials and methods: The approach of this research was quantitative and the research method was semi-experimental and its design was pre-test-post-test. The statistical population includes 30 non-Persian speakers who had no familiarity with the Persian language. In order to reach the target audience and distribute the questionnaires, some Persian language teaching institutions such as Dehkhoda Institute, Persian language teaching center of universities. Also, the sites of some scientific social networks such as Research Gate, Linkedin and Academia were referred and the profiles of people were observed. In order to carry out the research, 30 non-Persian speaking people were selected from the statistical population using a non-probability and targeted sampling method and were randomly assigned into two experimental and control groups (15 people in the experimental group and 15 people in the control group). In terms of gender, 12 were men and 18 were women (40% men and 60% women). In terms of age group, most of them were between 19 and 50 years old, and the average age was 33 years old. In terms of nationality, 2 Iraqis, 2 Americans, 5 Chinese, 2 French, 3 German, 5 Ukrainian, 1 English, 1 Swiss, 3 Japanese, 1 Canadian, 2 Andalusian, 2 Italian and 1 person was Indian. In terms of education level, 12 people were in the doctoral level, 9 people were in the master's level, and 6 people were in the bachelor's level. An interface was designed to collect data. a few verses of Saadi's poems in which words that have the same written appearance but have completely different pronunciations, meanings and grammatical characteristics, were searched and selected. Depending on whether there are different options for pronouncing words or not, we deliberately included possible but incorrect pronunciations for some random words in the question so that they would listen to the voice of the local announcer and then choose one from among the transliterated words of the poem. In each pre-test and post-test stage, users were faced with 23 disambiguation items (in the form of disambiguation by clicking on the correct option among multiple choice options) and 2 correction items (by typing the correct form in the corresponding field). For all 23 questions, there were real words in the Persian language.To design the intervention activity of international transliteration education, the Persian book of the first year of elementary school and the second and third sections, which include the signs of the Persian language, were used. The structure of each sign (letter) in the book to read consists of five parts: big picture - small pictures with the word - written text - new sign - learning activities. Under each sign and thumbnails of each word, international transliteration and audio file were added. The training files were provided to the experimental group and trainings were provided in 4 sessions of 30 minutes and Skype and Google Meet communication software were used. Users of both groups were evaluated twice (before and after the intervention of international phonetic training). The tools used in this research were two questionnaires to perform practical work, one of which was used in the pre-test phase and the other in the post-test phase. After the pre-test, the experimental group received an interactive training support introducing the work program and IPA (International Phonetic Association, 1999) in order to improve the learning experience and develop the educational structure, while the control group did not receive this intervention during the research process. To calculate the distance between the answer chosen by the user and the correct answer in the poem, the method of calculating phonetic distances by Faradi et al (2019) was used.
Findings: For analysis, three independent variables were identified for each item (question); Two of them were interval variables, i.e., word length and Lonstein's phonological weighted distance between the selected answer and the correct answer, the other parameter was a nominal parameter that indicated whether the correct answer was among the selected options or not. The average scores in the learning and user reading experience of the control group in the pre-test was equal to 18.6 and in the post-test it was equal to 19.8, while the average scores in the learning and user reading experience of the experimental group before the international transliteration training was equal to 19.1 and after the international transliteration training, it increased to 23.2. For this purpose, the t-test of independent groups was used after the international transliteration training. The result of independent group t-test indicates the change of scores in users' learning and reading experience between the two experimental and control group after the international transliteration training. The resulting t (3.08) is greater than the critical table's t (1.96), so it can be said that there is a significant difference between the scores in the learning and reading experience of the users between the two experimental and control groups after the international transliteration training (p 0.05 < ). Therefore, according to the evidence, it can be said that the types of annotations (audio, transliteration) have resulted in a significant change in the learning and reading experience of users. In order to answer the second question, "What effect does international transliteration training have on users' experience in reading Persian language poems?" In the descriptive analysis of the information, first the statistical indicators related to the basic variables of the research were calculated. The results showed that in the pre-test stage, the average distance from the correct answer (error rate) of the experimental group was 4.09 and in the post-test stage it reached 1.1, which shows a significant decrease. In the control group, the average distance from the correct answer (error rate) was equal to 3.4 and in the post-test stage it reached 3.6, which did not change much. According to the quasi-experimental design of this research and the use of pre-test and post-test in it and in order to control the effect of the pre-test in it, to analyze the relevant data, the statistical model of covariance analysis has been implemented. Before running any covariance analysis, it was necessary to have homogeneous regression slopes and a linear relationship between the auxiliary random variable and the dependent variable. For this purpose, the interaction between the random variable and the independent variable has been investigated. On this basis, the assumptions of this statistical method, i.e. the assumption of normality of distribution, equality of error variances and homogeneity of coefficients and regression, have been investigated. In the inferential methods section, in order to answer the second question, "What effect does international transliteration training have on the experience of users in reading Persian language poems?" Between-group covariance analysis was used, and the results are presented in separate tables. Due to the fact that the studied groups have been selected completely randomly in compliance with all conditions, therefore, the distribution of the data was completely normal. Another important assumption of covariance analysis is the homogeneity of regression coefficients. Based on the results, it was observed that the interaction of the pre-test distance from the correct answer (error rate) with the independent variable is significant at the confidence level of 0.95 (p < 0.05). One of the assumptions of covariance analysis is the assumption of equality of error variances (homogeneity of variances), which Levin's F was used to check this assumption (to check the post-test of the dependent variable). Based on the reported results, it was observed that the homogeneity of variances is significant at the confidence level of 0.95 (p < 0.05). In order to analyze the results and changes of the dependent scale of the research, univariate covariance analysis between groups was used. The results showed that considering the pre-test scores "distance from the correct answer (error rate)", the difference between the trained group and the control group is significant in the post-test stage. (p<0.05). Distance from the correct answer (error rate) (F = 12.3). The total effect size is equal to 0.314. Considering the eta square, it can be said that 31.4% of the changes and the reduction of the distance from the correct answer (error rate) are caused by the influence of the independent variable (i.e. intervention and international phonetic training), which is in accordance with Cohen's criteria, close to It is moderate and statistically significant. (p<0.05). Therefore, it can be said that international phonetic training has been effective on the distance from the correct answer (error rate).
Conclusion: Level-based achievement was confirmed in the results of the users' learning and reading tests. Annotations act as an attention strategy. Vocabulary marking and adding various annotations and international transliteration were effective for non-Persian speakers to learn and read Persian poetry.The results of this research also highlight the important role of international phonetic training in phonetic transcription and improving the second language reading experience and show the effectiveness of international phonetic training intervention and phonological memory training as a tool to strengthen second language vocabulary development. The limitations of this research include ignoring the influence of the users' native languages, the difference in the phonological systems of different languages, relatively small sample size, different age groups and different education levels, the influence and relationships of these factors. The output of the text-to-phonetic chain conversion program is used in automatic text-to-speech conversion, correct phonetic writing of texts, teaching Persian to non-Persian speakers, dictionary writing, etc. By performing phonetic transcription work in the form of manual disambiguation or correction, users create a database with possible corrections that are suggested to be used for various purposes, including increasing the accuracy of machine transliteration. Using a digital annotation tool that allows more accurate tracking of how each user interacts with the text (through log files, tracking eye movements in the number of times focusing on a word, attention creation mechanisms) Important points for future empirical work in this field. Implementation of computer-based assessment using machine learning method leads to efficient implementation and improvement of PA skills. Although solutions for computer-based phonological awareness assessment for children have been provided in Persian language, computer-based phonological awareness assessment can also be used in teaching reading literature. Implementation of computer-based assessment using machine learning method leads to efficient implementation and improvement of PA skills. Although solutions for computer-based phonological awareness assessment for children have been provided in Persian language, computer-based phonological awareness assessment can also be considered in teaching reading literature.
Abolghasem Karimi, Alireza Rousta, Majid Ahmadi, Saeid Daniali,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
Information search strategies change rapidly in continuous mode, and successive searches gradually teach the user what can be retrieved inside the system. Users must be able to interact with the system appropriately to achieve their information needs. The information revolution is not a new issue, but understanding information seeking behavior is important and vital in this era. In future projects, extraordinary efforts should be made to create intelligent systems. Therefore, success or failure in this matter is not the responsibility of the new information technology, but it requires awareness of human needs and his behavior to obtain information. Therefore, in the companies based in Pardis Technology Park, according to the technology-oriented approach and innovation, it is necessary to pay attention to the issue of market information learning and joint innovative capacities to improve the organization's performance. Generally, because the environment and technology are constantly and rapidly changing, and specifically, the demographic characteristics of customers and their expectations undergo changes and transformations, Certainly, in order to have a successful presence in the national and international arena and their dynamism, as well as greater adaptation to environmental changes, these companies should aim to activate their potentials through improving the performance of the organization. In fact, this research seeks to answer the question of what is the role of explaining the effect of market information learning ability and joint innovative capacities on the organization's performance with an information approach?
Methods and Materoal
This research is based on the applied purpose and according to the descriptive type of correlation, according to the model, we should use the structural equation modeling method. The statistical community of the research is top and middle managers of companies that are members of Pardis Technology Park in Tehran. Using Cochran's formula, 384 people were selected as a sample and 400 questionnaires were distributed by available sampling method and 387 questionnaires were collected in 50 companies. The data collection method of this research was done by library method and using books and articles, and questionnaire was used in the field method. To measure the variable of market information learning ability with 7 items, internal learning ability with 10 items, relational learning ability with 7 items and administrative innovation with 6 items from Teece et al., 1997; Weerawardena et al., 2015; and to measure the variable of service innovation with 4 items and organization performance with 5 items from Thakur & Hale, 2013 questionnaire; and to measure the variable of shared innovative capacities with 3 items, Oly Ndubisi et al., 2019 questionnaire was used.
Resultss and Discussion
Demographic characteristics of the sample include gender, age and education. In the method of structural equation modeling, the fit of the model is checked to ensure the accuracy and correctness of the findings before implementing the model to test the hypotheses. Also, Cronbach's alpha indices of combined reliability of average variance were extracted and the coefficient of determination was used to measure the model. The average values of the extracted variance of all 7 model structures are at the optimal level. The amount of Cronbach's alpha and composite reliability is for all model constructs, so the questionnaire has good and acceptable reliability. The amount of Cronbach's alpha and combined reliability for all model constructs is more than 0/7, so the questionnaire has acceptable and acceptable reliability. The value of R2 for the endogenous constructs of the research confirms the appropriateness of the fit of the structural model. The results of the Q2 criterion for the endogenous structure indicate the appropriate predictive power of the model regarding the endogenous constructs of the research and indicate that the fitting model has appropriate and favorable predictive power. Confirmatory factor analysis is used to measure the reliability and validity of the measurement scale. The final results of the confirmatory factor analysis are reported in Table No. 4. Factor loadings greater than 5% have good validity. Figure 1, shows the confirmatory factor analysis for the whole model. Figure 2, shows the analysis of significant coefficients for the whole model. Since all the numbers on the paths are above 1/96%, it indicates the significance of the paths, the appropriateness of the structural model and the confirmation of all research hypotheses. The GOF criterion was used for the overall fit of the model, Since three values of 0/01, 0/25 and 0/36 are determined as weak, medium and strong values for GOF and on the other hand, the coefficient is in a good condition (0/598), Therefore, the results show that the fit of the model in the statistical population of the research is appropriate. Also, the t-test for all hypotheses is greater than 1/96. Therefore, with 95% confidence, the relationship between the variables is significant.
Conclusion
The present research was done by explaining the effect of market information learning ability and joint innovative capacities on the performance of the organization with an information approach. Organizational performance is a valuable activity at the community level. It also has a fundamental role in the economy and is considered as a useful tool to achieve economic growth and benefits of the organization. In fact, it is like an umbrella that includes all concepts related to the success and activities of the entire organization. In this research, 7 hypotheses were tested and the results of the hypothesis analysis indicate that the ability to learn market information plays a role in the internal learning ability (0/945) and the ability to learn interfaces (0/785) and internal learning ability (0/220) and interface learning ability (0/662) have been effective on administrative innovation. Also, administrative innovation has had an effect on the organization's performance (0/488), and shared innovative capacities have a significant effect on service innovation (0/904). Finally, service innovation has played a role in the organization's performance (0/590).
Methods and Materoal
This research is based on the applied purpose and according to the descriptive type of correlation, according to the model, we should use the structural equation modeling method. The statistical community of the research is top and middle managers of companies that are members of Pardis Technology Park in Tehran. Using Cochran's formula, 384 people were selected as a sample and 400 questionnaires were distributed by available sampling method and 387 questionnaires were collected in 50 companies. The data collection method of this research was done by library method and using books and articles, and questionnaire was used in the field method. To measure the variable of market information learning ability with 7 items, internal learning ability with 10 items, relational learning ability with 7 items and administrative innovation with 6 items from Teece et al., 1997; Weerawardena et al., 2015; and to measure the variable of service innovation with 4 items and organization performance with 5 items from Thakur & Hale, 2013 questionnaire; and to measure the variable of shared innovative capacities with 3 items, Oly Ndubisi et al., 2019 questionnaire was used.
Resultss and Discussion
Demographic characteristics of the sample include gender, age and education. In the method of structural equation modeling, the fit of the model is checked to ensure the accuracy and correctness of the findings before implementing the model to test the hypotheses. Also, Cronbach's alpha indices of combined reliability of average variance were extracted and the coefficient of determination was used to measure the model. The average values of the extracted variance of all 7 model structures are at the optimal level. The amount of Cronbach's alpha and composite reliability is for all model constructs, so the questionnaire has good and acceptable reliability. The amount of Cronbach's alpha and combined reliability for all model constructs is more than 0/7, so the questionnaire has acceptable and acceptable reliability. The value of R2 for the endogenous constructs of the research confirms the appropriateness of the fit of the structural model. The results of the Q2 criterion for the endogenous structure indicate the appropriate predictive power of the model regarding the endogenous constructs of the research and indicate that the fitting model has appropriate and favorable predictive power. Confirmatory factor analysis is used to measure the reliability and validity of the measurement scale. The final results of the confirmatory factor analysis are reported in Table No. 4. Factor loadings greater than 5% have good validity. Figure 1, shows the confirmatory factor analysis for the whole model. Figure 2, shows the analysis of significant coefficients for the whole model. Since all the numbers on the paths are above 1/96%, it indicates the significance of the paths, the appropriateness of the structural model and the confirmation of all research hypotheses. The GOF criterion was used for the overall fit of the model, Since three values of 0/01, 0/25 and 0/36 are determined as weak, medium and strong values for GOF and on the other hand, the coefficient is in a good condition (0/598), Therefore, the results show that the fit of the model in the statistical population of the research is appropriate. Also, the t-test for all hypotheses is greater than 1/96. Therefore, with 95% confidence, the relationship between the variables is significant.
Conclusion
The present research was done by explaining the effect of market information learning ability and joint innovative capacities on the performance of the organization with an information approach. Organizational performance is a valuable activity at the community level. It also has a fundamental role in the economy and is considered as a useful tool to achieve economic growth and benefits of the organization. In fact, it is like an umbrella that includes all concepts related to the success and activities of the entire organization. In this research, 7 hypotheses were tested and the results of the hypothesis analysis indicate that the ability to learn market information plays a role in the internal learning ability (0/945) and the ability to learn interfaces (0/785) and internal learning ability (0/220) and interface learning ability (0/662) have been effective on administrative innovation. Also, administrative innovation has had an effect on the organization's performance (0/488), and shared innovative capacities have a significant effect on service innovation (0/904). Finally, service innovation has played a role in the organization's performance (0/590).
Mohammad Hassan Azimi, Hadi Alhaei,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
Introduction
The development of information and communication technology has a profound impact on various systems of societies, and these effects become more obvious over time. These fundamental developments have caused wide changes in various fields and organizations. The emergence of new opportunities in international competitions, the influence of new technologies in all aspects of human life, globalization and the increasing importance of human capitals in the age of knowledge and transformation, indicate that the requirements in today's organizations are different from the past. Considering the characteristic of the present age, which is focused on information and its exploitation, it is necessary that all ruling affairs be based on knowledge and information. Today, any country that seeks development in all institutions must strengthen the knowledge and skills base through an efficient system to achieve suitable opportunities. The impact of these changes on organizations and companies is also significant. Therefore, societies that seek to develop and enter the current competitive world must pay attention to this important matter by knowing their needs carefully and developing information technology. Therefore, considering the wide developments in the field of information and communication technology and its profound effects on various systems of societies, organizations should think about making their knowledge management processes smarter. In today's world, where information and its exploitation play a vital role, smartening the knowledge management processes can help organizations to increase their productivity and respond to global competitions. The smartening the knowledge management processes includes the use of new technologies such as artificial intelligence, machine learning, and data mining so that the information and knowledge in the organization can be optimally managed and used. These processes can help identify patterns, predict trends, and make smarter decisions. Therefore, for the successful implementation of the smartening the knowledge management, this research has evaluated the feasibility of smartening the processes of knowledge management in South East Khuzestan Water Company.
Methods and Materoal
The current research is an applied research in terms of its purpose and is a qualitative and quantitative research in terms of method and is library and documentary research in terms of data collection method. The research method is analytical-survey and its data collection tool is a researcher-made questionnaire. In order to identify the main indicators and items related to each indicator, at first, the written knowledge in this field was collected and studied in the form of published scientific texts, and the important factors and indicators in making the company smart were extracted. The extracted indices were arranged in the form of 6 indices and 67 items and were designed in the form of a closed-ended questionnaire (five-point Likert scale). These indicators include information technology index, organizational culture index, manpower index, organizational structure, financial resources status index, and laws and regulations status index. The research community includes 60 senior officials and managers of South East Khuzestan Water Company. The purposeful sampling method was used to select the sample population and 50 people of the statistical population of this research were selected as a sample. The criteria for selecting people in this research is their expertise and proficiency in both areas of smartening and knowledge management. The questionnaire was provided to every member of the sample community and 42 questionnaires were returned. To determine the validity of the research tool (questionnaire), content validity was used, which is the approval of professors. For this purpose, the present research questionnaire was distributed to 4 professors of information science and epistemology, and its face and content validity was confirmed. Cronbach's alpha was used to determine the reliability coefficient of the questionnaire, which was reported as 0.84. SPSS 25 software was used for data analysis and the research questions were answered through descriptive statistics (demographics, frequency of responses, average) and inferential statistics (one-sample t-test).
Resultss and Discussion
Organization smartening indicators were identified in 6 categories and 67 items; Based on the findings of all the identified indicators, because its score is above 3, the status of this infrastructure is at a favorable level. Among these, the "Information Technology Index Status" index, the items of precision, accuracy and speed of access to information and the item of using and accessing high-speed internet, with an average of 4.40, received the most attention and points by experts. Also in all of the studeied items, according to the experts' opinion, the average of the total information technology index item was obtained equal to 3.67. According to the "organizational structure status" indicator, all the items in the field of organizational structure were in a favorable level according to the experts and among the items obtained for this considered index, the items of using regulations and bylaws to transfer knowledge in a smart platform, coordination of different departments in the implementation of projects, attention to communication and smart interactions among employees with an average of 4.30, received the most attention and points. The total average of the organizational structure index is 3.75. According to "status of organizational culture" indicator, all of the obtained items for the organizational culture index,according to the obtained average based of experts' responses were accepted and among the examined items for this index, the items of using and promoting electronic services, exchanging the scientific experiences of people with an average of 4.50 received the most attention and points. Based on the total average, i.e. all items of the organizational culture index, an average of 3.70 was obtained for this index. According to the "status of financial resources" index, all the items obtained for the financial resources index and the company's budget are at the optimal level according to the experts' opinion, and among the items examined for this index, the item of financing the infrastructures for smartening By obtaining an average of 4.50, they received the most attention and points. Based on the total average obtained from the financial resources status index, which is equal to 4.22,in terms of the "Manpower Status" index, all items were accepted by the experts, and among the items examined for this index, the item of attention to the organizational intelligence of employees (such as decision-making skill and problem solving ability, learning and modeling from experience of others, etc.) with an average of 4.30 received the most attention and points. Considering that the total average obtained from the manpower index in this index was obtained to 3.58, examining the findings in the section of the "status of laws and regulations" index, all the items obtained for the manpower index were also approved by the experts, and among the items examined for this index, the item of laws and instructions related to information protection and security with an average score of 4.40 received the most attention and points. Based on the total average obtained in this index, that it is equal to 3.70, which shows the desirability of these indicators and their impact on the smartening of knowledge management in the organization. Also, the findings showed that all research components are positive and significant at the p<0.000 level, and the variable of organizational culture with a t-statistic value of 205.24, the state of financial resources with a t-statistic value of 19.804, organizational structure with a t-statistic value of 258.19, and information technology with the value of T-statistic 707.16, they are effective on the smartening process of knowledge management in the organization. Also, manpower with the T-statistic value of 930.10 have the least effect on the smartening process of knowledge management in the organization. The findings also showed that the index of the status of financial resources with an average of 22.4 is more important than other indicators based on the experts opinion and needs more attention than other indicators.
Conclusion
Considering the extensive developments in artificial intelligence technologies and their key role in business and organizations, the smartening of knowledge management processes has become a necessity. Organizations need to be technologically updated to respond quickly to market changes and maintain competitiveness. This study shows that six main indicators, including information technology infrastructure, organizational structure, organizational culture, manpower, financial and budget status, and the status of laws and regulations, are necessary to evaluate the feasibility of smartening of knowledge management processes. These indicators help organizations to effectively and efficiently take steps in the path of smartening and take advantage of it. This research shows that all the investigated components are effective for the implementation of knowledge management smartening in organizations. Smartening the knowledge management processes by providing a suitable platform for collecting, storing, sharing and using the knowledge helps organizations to perform better in today's competitive market and make more effective decisions.
Based on the obtained results, the precision, accuracy and speed of access to the internet and using of high-speed internet are critical factors of the information technology infrastructure for smartening the knowledge management processes, which must be strengthened so that the smartening processes in the organization can be implemented well. Therefore, using of data validation systems and rich databases helps to ensure the accuracy of the input information and their accurate recovery. Also, the regular backup systems are essential to prevent loss of critical information. The speed of information access is also a key factor; using of high-performance servers, high-speed networks such as fiber optics, and advanced technologies can significantly reduce the time of data access. Therefore, all these factors together turn the information technology infrastructure into the basis of smartening the knowledge management processes in the organizations.
Organizational structure has a profound effect on organizational smartening. This structure should be designed in such a way that it supports the smartening processes and enables the quick and effective transfer of knowledge. In order to make the organizational knowledge management easier and smarter, one of the key aspects of this effect is to facilitate the coordination and effective communication between various parts of the organization. When the organizational structure is designed to facilitate interaction between units and teams, the flow of information and knowledge is improved and the communication barriers are reduced. This causes the knowledge to be transferred faster and more efficiently and make smarter decision-making processes.
In the implementation of the company's smartening, it is necessary to pay attention to the financial situation and the existing budget. This means that there must be sufficient financial conditions and budget for the establishment of smartening in the company, so that the company does not face problems or challenges in the way of implementing this important matter.
Organizational culture plays a key role in making knowledge management processes smarter. An organizational culture that emphasizes the knowledge sharing, innovation, and continuous learning creates an environment where information and knowledge are easily transferred and employees are encouraged to share experiences and collaborate. This culture supports innovation and encourages employees to seek and implement new and creative solutions, which in turn improves knowledge management processes. Finally, by strengthening the interaction and cooperation between employees, such a culture provides the basis for the smartening processes to be implemented more effectively and efficiently, and the organization can achieve greater productivity and innovation.
The financial situation of the organization has a direct and vital effect on the smartening processes of knowledge management. Adequate financial resources allow the organization to implement and update advanced technologies and knowledge management softwares. Investing in IT infrastructures, training employees, and developing smart tools requires proper funding. Without the necessary financial resources, organizations cannot effectively use artificial intelligence technologies and knowledge management tools, which can lead to reduced efficiency and productivity.
In addition, a stable and powerful financial status allows organizations to better manage the risks associated with the implementation of new technologies and to react quickly if the problems arise. Funding for research and development provides continuous improvement of knowledge management processes and puts the organization on the path of innovation and competitiveness. As a result, a suitable financial situation not only facilitates the implementation of smartening processes, but also guarantees the sustainability and success of these processes in the long term.
Finally, the index of the status of laws and regulations was considered and examined. In order to implement any matter in the company, it is necessary that a series of rules and principles govern the company in order to be able to proceed based on them. It means that it is necessary that there are directives and instructions so that they can be referred to in the implementation of this program, and even if necessary, it needs to revise the organizational rules and regulations. .
According to the results of the study, the status of laws and regulations index has a significant effect on the smartening of knowledge management processes in the organization. The existence of specific and efficient laws and regulations provides a legal framework in which knowledge management processes are implemented systematically and regularly. These laws and regulations can include guidelines related to information protection and security, intellectual property rights, data quality standards, as well as knowledge transferring and sharing procedures. Such a framework prevents the occurrence of legal and security problems and ensures that the processes of smartening the knowledge management proceed in compliance with legal and ethical principles.
In addition, appropriate rules and regulations can be motivating and facilitate innovation in the organization. By having regulations that encourage the use of new technologies and smart tools, organizations can more effectively utilize knowledge management technologies. Also, regular review of laws and regulations in order to keep pace with technological developments and changes in the business environment helps organizations to always stand on the path of innovation and productivity. Finally, the index of the status of laws and regulations is a key factor in ensuring the sustainability and success of smartening the knowledge management processes in the organizations, because it is necessary to create a legal and supportive environment for the implementation of these processes.
The development of information and communication technology has a profound impact on various systems of societies, and these effects become more obvious over time. These fundamental developments have caused wide changes in various fields and organizations. The emergence of new opportunities in international competitions, the influence of new technologies in all aspects of human life, globalization and the increasing importance of human capitals in the age of knowledge and transformation, indicate that the requirements in today's organizations are different from the past. Considering the characteristic of the present age, which is focused on information and its exploitation, it is necessary that all ruling affairs be based on knowledge and information. Today, any country that seeks development in all institutions must strengthen the knowledge and skills base through an efficient system to achieve suitable opportunities. The impact of these changes on organizations and companies is also significant. Therefore, societies that seek to develop and enter the current competitive world must pay attention to this important matter by knowing their needs carefully and developing information technology. Therefore, considering the wide developments in the field of information and communication technology and its profound effects on various systems of societies, organizations should think about making their knowledge management processes smarter. In today's world, where information and its exploitation play a vital role, smartening the knowledge management processes can help organizations to increase their productivity and respond to global competitions. The smartening the knowledge management processes includes the use of new technologies such as artificial intelligence, machine learning, and data mining so that the information and knowledge in the organization can be optimally managed and used. These processes can help identify patterns, predict trends, and make smarter decisions. Therefore, for the successful implementation of the smartening the knowledge management, this research has evaluated the feasibility of smartening the processes of knowledge management in South East Khuzestan Water Company.
Methods and Materoal
The current research is an applied research in terms of its purpose and is a qualitative and quantitative research in terms of method and is library and documentary research in terms of data collection method. The research method is analytical-survey and its data collection tool is a researcher-made questionnaire. In order to identify the main indicators and items related to each indicator, at first, the written knowledge in this field was collected and studied in the form of published scientific texts, and the important factors and indicators in making the company smart were extracted. The extracted indices were arranged in the form of 6 indices and 67 items and were designed in the form of a closed-ended questionnaire (five-point Likert scale). These indicators include information technology index, organizational culture index, manpower index, organizational structure, financial resources status index, and laws and regulations status index. The research community includes 60 senior officials and managers of South East Khuzestan Water Company. The purposeful sampling method was used to select the sample population and 50 people of the statistical population of this research were selected as a sample. The criteria for selecting people in this research is their expertise and proficiency in both areas of smartening and knowledge management. The questionnaire was provided to every member of the sample community and 42 questionnaires were returned. To determine the validity of the research tool (questionnaire), content validity was used, which is the approval of professors. For this purpose, the present research questionnaire was distributed to 4 professors of information science and epistemology, and its face and content validity was confirmed. Cronbach's alpha was used to determine the reliability coefficient of the questionnaire, which was reported as 0.84. SPSS 25 software was used for data analysis and the research questions were answered through descriptive statistics (demographics, frequency of responses, average) and inferential statistics (one-sample t-test).
Resultss and Discussion
Organization smartening indicators were identified in 6 categories and 67 items; Based on the findings of all the identified indicators, because its score is above 3, the status of this infrastructure is at a favorable level. Among these, the "Information Technology Index Status" index, the items of precision, accuracy and speed of access to information and the item of using and accessing high-speed internet, with an average of 4.40, received the most attention and points by experts. Also in all of the studeied items, according to the experts' opinion, the average of the total information technology index item was obtained equal to 3.67. According to the "organizational structure status" indicator, all the items in the field of organizational structure were in a favorable level according to the experts and among the items obtained for this considered index, the items of using regulations and bylaws to transfer knowledge in a smart platform, coordination of different departments in the implementation of projects, attention to communication and smart interactions among employees with an average of 4.30, received the most attention and points. The total average of the organizational structure index is 3.75. According to "status of organizational culture" indicator, all of the obtained items for the organizational culture index,according to the obtained average based of experts' responses were accepted and among the examined items for this index, the items of using and promoting electronic services, exchanging the scientific experiences of people with an average of 4.50 received the most attention and points. Based on the total average, i.e. all items of the organizational culture index, an average of 3.70 was obtained for this index. According to the "status of financial resources" index, all the items obtained for the financial resources index and the company's budget are at the optimal level according to the experts' opinion, and among the items examined for this index, the item of financing the infrastructures for smartening By obtaining an average of 4.50, they received the most attention and points. Based on the total average obtained from the financial resources status index, which is equal to 4.22,in terms of the "Manpower Status" index, all items were accepted by the experts, and among the items examined for this index, the item of attention to the organizational intelligence of employees (such as decision-making skill and problem solving ability, learning and modeling from experience of others, etc.) with an average of 4.30 received the most attention and points. Considering that the total average obtained from the manpower index in this index was obtained to 3.58, examining the findings in the section of the "status of laws and regulations" index, all the items obtained for the manpower index were also approved by the experts, and among the items examined for this index, the item of laws and instructions related to information protection and security with an average score of 4.40 received the most attention and points. Based on the total average obtained in this index, that it is equal to 3.70, which shows the desirability of these indicators and their impact on the smartening of knowledge management in the organization. Also, the findings showed that all research components are positive and significant at the p<0.000 level, and the variable of organizational culture with a t-statistic value of 205.24, the state of financial resources with a t-statistic value of 19.804, organizational structure with a t-statistic value of 258.19, and information technology with the value of T-statistic 707.16, they are effective on the smartening process of knowledge management in the organization. Also, manpower with the T-statistic value of 930.10 have the least effect on the smartening process of knowledge management in the organization. The findings also showed that the index of the status of financial resources with an average of 22.4 is more important than other indicators based on the experts opinion and needs more attention than other indicators.
Conclusion
Considering the extensive developments in artificial intelligence technologies and their key role in business and organizations, the smartening of knowledge management processes has become a necessity. Organizations need to be technologically updated to respond quickly to market changes and maintain competitiveness. This study shows that six main indicators, including information technology infrastructure, organizational structure, organizational culture, manpower, financial and budget status, and the status of laws and regulations, are necessary to evaluate the feasibility of smartening of knowledge management processes. These indicators help organizations to effectively and efficiently take steps in the path of smartening and take advantage of it. This research shows that all the investigated components are effective for the implementation of knowledge management smartening in organizations. Smartening the knowledge management processes by providing a suitable platform for collecting, storing, sharing and using the knowledge helps organizations to perform better in today's competitive market and make more effective decisions.
Based on the obtained results, the precision, accuracy and speed of access to the internet and using of high-speed internet are critical factors of the information technology infrastructure for smartening the knowledge management processes, which must be strengthened so that the smartening processes in the organization can be implemented well. Therefore, using of data validation systems and rich databases helps to ensure the accuracy of the input information and their accurate recovery. Also, the regular backup systems are essential to prevent loss of critical information. The speed of information access is also a key factor; using of high-performance servers, high-speed networks such as fiber optics, and advanced technologies can significantly reduce the time of data access. Therefore, all these factors together turn the information technology infrastructure into the basis of smartening the knowledge management processes in the organizations.
Organizational structure has a profound effect on organizational smartening. This structure should be designed in such a way that it supports the smartening processes and enables the quick and effective transfer of knowledge. In order to make the organizational knowledge management easier and smarter, one of the key aspects of this effect is to facilitate the coordination and effective communication between various parts of the organization. When the organizational structure is designed to facilitate interaction between units and teams, the flow of information and knowledge is improved and the communication barriers are reduced. This causes the knowledge to be transferred faster and more efficiently and make smarter decision-making processes.
In the implementation of the company's smartening, it is necessary to pay attention to the financial situation and the existing budget. This means that there must be sufficient financial conditions and budget for the establishment of smartening in the company, so that the company does not face problems or challenges in the way of implementing this important matter.
Organizational culture plays a key role in making knowledge management processes smarter. An organizational culture that emphasizes the knowledge sharing, innovation, and continuous learning creates an environment where information and knowledge are easily transferred and employees are encouraged to share experiences and collaborate. This culture supports innovation and encourages employees to seek and implement new and creative solutions, which in turn improves knowledge management processes. Finally, by strengthening the interaction and cooperation between employees, such a culture provides the basis for the smartening processes to be implemented more effectively and efficiently, and the organization can achieve greater productivity and innovation.
The financial situation of the organization has a direct and vital effect on the smartening processes of knowledge management. Adequate financial resources allow the organization to implement and update advanced technologies and knowledge management softwares. Investing in IT infrastructures, training employees, and developing smart tools requires proper funding. Without the necessary financial resources, organizations cannot effectively use artificial intelligence technologies and knowledge management tools, which can lead to reduced efficiency and productivity.
In addition, a stable and powerful financial status allows organizations to better manage the risks associated with the implementation of new technologies and to react quickly if the problems arise. Funding for research and development provides continuous improvement of knowledge management processes and puts the organization on the path of innovation and competitiveness. As a result, a suitable financial situation not only facilitates the implementation of smartening processes, but also guarantees the sustainability and success of these processes in the long term.
Finally, the index of the status of laws and regulations was considered and examined. In order to implement any matter in the company, it is necessary that a series of rules and principles govern the company in order to be able to proceed based on them. It means that it is necessary that there are directives and instructions so that they can be referred to in the implementation of this program, and even if necessary, it needs to revise the organizational rules and regulations. .
According to the results of the study, the status of laws and regulations index has a significant effect on the smartening of knowledge management processes in the organization. The existence of specific and efficient laws and regulations provides a legal framework in which knowledge management processes are implemented systematically and regularly. These laws and regulations can include guidelines related to information protection and security, intellectual property rights, data quality standards, as well as knowledge transferring and sharing procedures. Such a framework prevents the occurrence of legal and security problems and ensures that the processes of smartening the knowledge management proceed in compliance with legal and ethical principles.
In addition, appropriate rules and regulations can be motivating and facilitate innovation in the organization. By having regulations that encourage the use of new technologies and smart tools, organizations can more effectively utilize knowledge management technologies. Also, regular review of laws and regulations in order to keep pace with technological developments and changes in the business environment helps organizations to always stand on the path of innovation and productivity. Finally, the index of the status of laws and regulations is a key factor in ensuring the sustainability and success of smartening the knowledge management processes in the organizations, because it is necessary to create a legal and supportive environment for the implementation of these processes.
Abdulamir Mabhoot, Mohammad Reza Farhadpoor, Ebrahim Hoseini,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
One of the most important current debates in organizational information security is information leakage. Information leakage, which refers to the unauthorized sharing of information by one organization with another, is one of the serious problems faced by organizations. Information leakage can cause losses to the company and affect its ability to gain a competitive advantage. Information leakage includes two types of leakage or intentional or unintentional disclosure of data or exclusive content to unauthorized persons. Intentional information leakage includes the intentional disclosure of information by employees to unauthorized persons. Deliberate information leakage is often caused by employee dissatisfaction with the company or a motive for personal gain. The main cause of intentional information leakage is revenge or unethical behavior of employees who are willing to betray their company or disclose sensitive information to competitors. In other words, if employees are not aware of how much information to disclose to outsiders, then unwanted/inadvertent information leakage may occur. These cases damage the reputation of the organization, its income and business. As a result, the pervasiveness of this uncertainty about information security in the work environment puts the organization's information assets at risk. In order to minimize or prevent information leakage, it is important to investigate and identify the factors that lead to this happening.
Regardless of the type of information leakage and the related motives, the impact of these actions in itself can lead to financial losses, disruption of the organization, loss of reputation and long-term impact on the organizational culture. Although the phenomenon of information leakage may happen in any organization; But considering the opportunities and values that every organization loses as a result, its importance can be understood. For this reason, the consequences of information leakage will be different from one organization to another, and accordingly, its degree of importance will also be different. The study and identification of factors affecting the phenomenon of information leakage is interesting from several aspects. First, the airport environment with the presence of various airlines is an example of a highly competitive market where the actions and operations of the airport are exposed to the customers. The second point is that the customers of the airport system are heterogeneous and may be people of different nationalities. Third point, the issue of security in airport systems is a complex and interesting phenomenon that is provided by the participation of different organizations. The fourth point is that the flow of information in the airport system is intense, intra-organizational and trans-organizational/cross-border. The fifth point is that the occurrence of an error in the flow of information in airport systems can have unfortunate human, financial, and other consequences. Considering these points, the present study was conducted at Ahvaz International Airport. Preventing information leakage is one of the most important security issues at Ahvaz International Airport. Because with the loss of data, the reputation of the airport is damaged and it loses its customers, it has to pay a high cost to fix the damages, and this will sometimes lead to the destruction of the organization. According to the mentioned contents, this research seeks to answer the question, what are the factors affecting organizational information leakage in Ahvaz International Airport? How are they ranked? Hence, the purpose of this study was to identify and rank the factors affecting organizational information leakage in Ahvaz International Airport using the Hierarchical Analysis Process.
Methods
Since the ultimate goal of the current research was to improve the understanding of the problem of information leakage as an important concern for the organization and to find a practical solution to reduce it, it is practical research in terms of the goal. Also, from the point of view of nature, the current research is descriptive-exploratory; Because what follows the data follower approach to "describe" and "interpret" the factors affecting organizational information leakage as it is. The research community was all information security experts in different parts of Ahvaz Airport; that by the snowball method (because it was difficult to identify the experts and the possibility of contacting and accessing them) 15 experts in the information security field of Ahvaz Airport (having relevant work experience of more than 15 years, a master's degree or higher and familiar with security issue and information leakage). In this study, the library method was used to compile the theoretical foundations of the research, the background of the research and the design of the decision tree. Then, the field method was used to distribute the five-point paired comparison questionnaire to collect data. The first questionnaire was taken from the research literature and was distributed among 15 experts using the Delphi technique. Opinions were sought from the expert group of the Delphi study, in the form of sending a structured questionnaire with a 5-point Likert scale, consisting of 22 questions, in two rounds with the participation of 15 people, in such a way that first, the first questionnaire consisting of 22 questions was sent to the members of the Delphi group. After distributing and collecting completed questionnaires and evaluating the results of this Delphi round, 5 main factors and 21 important sub-factors were identified (laws and regulations sub-factor with an average of 2.87±83 and a t value of 0.61 was not recognized as significant and was excluded from the questionnaire for the second round) and after twenty days, from the initial opinion poll, the important factors were re-evaluated in order to conduct the next round of Delphi in the form of a questionnaire with 21 questions related to the important sub-factors, the collected data It showed the confirmation of all subfactors. Finally, the data was analyzed using the hierarchical analysis method and using Expert Choice software.
Resultss and Discussion
Based on the results, 5 main factors and 21 sub-factors affecting organizational information leakage were identified. The weighting and prioritization of indicators showed that intentional individual factors (0.277) ranked first, unintentional individual factors (0.235) ranked second, organizational factors (0.188) ranked third, infrastructural factors (0.167) ranked fourth and environmental factors (0.133) ranked fifth.
Conclusion
The results showed that information leakage is a complex phenomenon that various individual, organizational, infrastructural and environmental factors are involved in its occurrence. However, the first and second rank of the intentional and unintentional dimensions of information leakage by individuals, on the one hand, indicate the complexity of the information leakage phenomenon, and on the other hand, require a review in the strategies related to human resources management in Ahvaz International Airport.
Based on the results, intentional individual factors with a weight of 0.277 were the first effective factors on information leakage in Ahvaz International Airport. Also, among intentional individual sub-factors, personal greed with a weight of 0.232 was the most important sub-factor and the experience of invasion of privacy with a weight of 0.078 was the least important sub-factor. The findings confirmed that intentional information leakage due to human factors should still be of concern to managers. Since it is not possible to abandon human factors in the organizational life cycle of information, managers should accept this challenge and look for appropriate mechanisms. In other words, despite human factors, organizations face the challenge of intentional or unintentional information leakage. Intentional leakage of information in the organization may have happened due to personal greed against organizational interests, where employees are willing to sell the organization's information to competitors for material reasons and prefer their interests over the interests of the organization. Jealousy of a company employee to colleagues or employees of competing companies, being dissatisfied with the company or feeling a grudge for any reason also causes the intentional leakage of information. Disgruntled employees may also intentionally disclose important information to unauthorized parties. Unintentional individual factors with a weight of 0.235 were the second most effective factors on information leakage in Ahvaz International Airport. Also, among unintentional individual sub-factors, negligence with a weight of 0.283 was the most important sub-factor and the use of contract and temporary employees with a weight of 0.133 was the least important sub-factor. An inadvertent leak occurs when an insider inadvertently discloses business-critical information that is not intended to be shared with third parties. Unintentional individual threat is the potential behavior of an individual who has access to the network, system or data of an organization through an accidental act or action, without malicious intent, and causes damage or significantly increases the likelihood of serious damage in the future to confidentiality, integrity Or the value of the organization's information.
Organizational factors with a weight of 0.188 were the third most effective factors on information leakage in Ahvaz International Airport. Also, among the organizational sub-factors, lack of understanding the value of information with a weight of 0.392 was the most important sub-factor and lack of proper intra-organizational communication with a weight of 0.262 was the least important sub-factor. The first is a lack of understanding of the value of information. Employees evaluate information differently depending on the hierarchical level, the type of information and the type of organizational structure. Employees' perception of the value of information is described by various researchers as an important aspect. This lack of awareness leads to the fact that the value of information is not clear, so the negative consequences of information leakage are not taken seriously by them. The second case is inappropriate organizational structure. Large companies are sensitive to data protection in the long term. Smaller companies do not have such extensive awareness. In general, organizational structure in terms of formality and existing control mechanisms may affect information leakage. The third case is the lack of proper communication within the organization. To achieve shared understanding, communication is required to convey a set of necessary values and norms that define the rules or context of interaction. Infrastructural factors with a weight of 0.167 were the fourth most effective factor on information leakage in Ahvaz International Airport. Similarly, among the infrastructure sub-factors, the weakness of information systems with a weight of 0.418 was the most important sub-factor and the presence of security holes in the network infrastructure with a weight of 0.258 was the least important sub-factor. The first is the weakness of information systems. Buying an incomplete information system and weak design of information systems may cause serious problems for organizations. Mechanisms that insiders use to perform business tasks based on their usual information systems can also be used to steal information assets. To prevent leakage and theft of information, mechanisms and protective measures against these methods should be used. The second case is improper use of physical means of data storage (hard drives, USB, CD, etc.). These days, most of the information inside the organization is stored electronically, the media of this information are hard drives, C drives. D. and U. S. etc.) are physical tools that are likely to be physically stolen. Preventing leakage with these devices requires implementing physical security measures. The third thing is the presence of security holes in the network infrastructure. The organization's networks are one of the essential parts of the organization's information technology infrastructure. There are several types of communication in the network. Internal-to-external communication includes any communication that is initiated within the boundaries of the organization and whose destination is outside the organization.
Finally, environmental factors with a weight of 0.133 were the fifth most effective factors on information leakage in Ahvaz International Airport. Also, among the environmental sub-factors, the stakeholders' request for information about security incidents with a weight of 0.416 was the most important sub-factor and the requirements of business partners with a weight of 0.259 was the least important sub-factor. One of the input sources that shape the behavior of people in an organization is the organizational environment. Employee decisions are influenced by environmental structure, the availability of environmental information, and the relevant meaning that employees assign to environmental information. The first case is the request of stakeholders to inform about security incidents. In the recent era, the demand for the type of information leakage events for companies is more intense, external and internal stakeholders are constantly concerned about maintaining a good public image of the organization. Overall, public interest in data breach incidents appears to exert pressure on organizations, while organizational responses are dynamic and appear to change over time. If stakeholder expectations are ignored and social influence is allowed to run its course, political and legal pressure will build, often leading to negative corporate outcomes. Stakeholder dissatisfaction arises when corporate actions do not meet societal expectations, and the gap between corporate actions and stakeholder expectations widens as public trust declines. Therefore, the greater the employees' understanding of information protection as a social expectation, the greater the perception of public leakage events as a threat to the company's image.
In general, the results show that information leakage is a major concern for organizations. In this context, the more the organization depends on information assets, the more relevant the concern of information leakage becomes. In such a situation, the taste of the competitors is stimulated more and more to think of the necessary mechanism to deal with it by getting the information of the organization, while being aware of the related organization's plans. Therefore, the identification of factors affecting information leakage in the form of 21 sub-factors in 5 groups provided the necessary insight to the managers of Ahvaz airport to strengthen the vulnerable points by adopting the necessary measures such as building trust, strengthening the sense of cooperation, observing professional ethics. , using motivational measures, raising awareness of the value of information, proper training of employees regarding information security, redesigning information systems, and designing targeted programs regarding information storage, sharing, and transfer.
Regardless of the type of information leakage and the related motives, the impact of these actions in itself can lead to financial losses, disruption of the organization, loss of reputation and long-term impact on the organizational culture. Although the phenomenon of information leakage may happen in any organization; But considering the opportunities and values that every organization loses as a result, its importance can be understood. For this reason, the consequences of information leakage will be different from one organization to another, and accordingly, its degree of importance will also be different. The study and identification of factors affecting the phenomenon of information leakage is interesting from several aspects. First, the airport environment with the presence of various airlines is an example of a highly competitive market where the actions and operations of the airport are exposed to the customers. The second point is that the customers of the airport system are heterogeneous and may be people of different nationalities. Third point, the issue of security in airport systems is a complex and interesting phenomenon that is provided by the participation of different organizations. The fourth point is that the flow of information in the airport system is intense, intra-organizational and trans-organizational/cross-border. The fifth point is that the occurrence of an error in the flow of information in airport systems can have unfortunate human, financial, and other consequences. Considering these points, the present study was conducted at Ahvaz International Airport. Preventing information leakage is one of the most important security issues at Ahvaz International Airport. Because with the loss of data, the reputation of the airport is damaged and it loses its customers, it has to pay a high cost to fix the damages, and this will sometimes lead to the destruction of the organization. According to the mentioned contents, this research seeks to answer the question, what are the factors affecting organizational information leakage in Ahvaz International Airport? How are they ranked? Hence, the purpose of this study was to identify and rank the factors affecting organizational information leakage in Ahvaz International Airport using the Hierarchical Analysis Process.
Methods
Since the ultimate goal of the current research was to improve the understanding of the problem of information leakage as an important concern for the organization and to find a practical solution to reduce it, it is practical research in terms of the goal. Also, from the point of view of nature, the current research is descriptive-exploratory; Because what follows the data follower approach to "describe" and "interpret" the factors affecting organizational information leakage as it is. The research community was all information security experts in different parts of Ahvaz Airport; that by the snowball method (because it was difficult to identify the experts and the possibility of contacting and accessing them) 15 experts in the information security field of Ahvaz Airport (having relevant work experience of more than 15 years, a master's degree or higher and familiar with security issue and information leakage). In this study, the library method was used to compile the theoretical foundations of the research, the background of the research and the design of the decision tree. Then, the field method was used to distribute the five-point paired comparison questionnaire to collect data. The first questionnaire was taken from the research literature and was distributed among 15 experts using the Delphi technique. Opinions were sought from the expert group of the Delphi study, in the form of sending a structured questionnaire with a 5-point Likert scale, consisting of 22 questions, in two rounds with the participation of 15 people, in such a way that first, the first questionnaire consisting of 22 questions was sent to the members of the Delphi group. After distributing and collecting completed questionnaires and evaluating the results of this Delphi round, 5 main factors and 21 important sub-factors were identified (laws and regulations sub-factor with an average of 2.87±83 and a t value of 0.61 was not recognized as significant and was excluded from the questionnaire for the second round) and after twenty days, from the initial opinion poll, the important factors were re-evaluated in order to conduct the next round of Delphi in the form of a questionnaire with 21 questions related to the important sub-factors, the collected data It showed the confirmation of all subfactors. Finally, the data was analyzed using the hierarchical analysis method and using Expert Choice software.
Resultss and Discussion
Based on the results, 5 main factors and 21 sub-factors affecting organizational information leakage were identified. The weighting and prioritization of indicators showed that intentional individual factors (0.277) ranked first, unintentional individual factors (0.235) ranked second, organizational factors (0.188) ranked third, infrastructural factors (0.167) ranked fourth and environmental factors (0.133) ranked fifth.
Conclusion
The results showed that information leakage is a complex phenomenon that various individual, organizational, infrastructural and environmental factors are involved in its occurrence. However, the first and second rank of the intentional and unintentional dimensions of information leakage by individuals, on the one hand, indicate the complexity of the information leakage phenomenon, and on the other hand, require a review in the strategies related to human resources management in Ahvaz International Airport.
Based on the results, intentional individual factors with a weight of 0.277 were the first effective factors on information leakage in Ahvaz International Airport. Also, among intentional individual sub-factors, personal greed with a weight of 0.232 was the most important sub-factor and the experience of invasion of privacy with a weight of 0.078 was the least important sub-factor. The findings confirmed that intentional information leakage due to human factors should still be of concern to managers. Since it is not possible to abandon human factors in the organizational life cycle of information, managers should accept this challenge and look for appropriate mechanisms. In other words, despite human factors, organizations face the challenge of intentional or unintentional information leakage. Intentional leakage of information in the organization may have happened due to personal greed against organizational interests, where employees are willing to sell the organization's information to competitors for material reasons and prefer their interests over the interests of the organization. Jealousy of a company employee to colleagues or employees of competing companies, being dissatisfied with the company or feeling a grudge for any reason also causes the intentional leakage of information. Disgruntled employees may also intentionally disclose important information to unauthorized parties. Unintentional individual factors with a weight of 0.235 were the second most effective factors on information leakage in Ahvaz International Airport. Also, among unintentional individual sub-factors, negligence with a weight of 0.283 was the most important sub-factor and the use of contract and temporary employees with a weight of 0.133 was the least important sub-factor. An inadvertent leak occurs when an insider inadvertently discloses business-critical information that is not intended to be shared with third parties. Unintentional individual threat is the potential behavior of an individual who has access to the network, system or data of an organization through an accidental act or action, without malicious intent, and causes damage or significantly increases the likelihood of serious damage in the future to confidentiality, integrity Or the value of the organization's information.
Organizational factors with a weight of 0.188 were the third most effective factors on information leakage in Ahvaz International Airport. Also, among the organizational sub-factors, lack of understanding the value of information with a weight of 0.392 was the most important sub-factor and lack of proper intra-organizational communication with a weight of 0.262 was the least important sub-factor. The first is a lack of understanding of the value of information. Employees evaluate information differently depending on the hierarchical level, the type of information and the type of organizational structure. Employees' perception of the value of information is described by various researchers as an important aspect. This lack of awareness leads to the fact that the value of information is not clear, so the negative consequences of information leakage are not taken seriously by them. The second case is inappropriate organizational structure. Large companies are sensitive to data protection in the long term. Smaller companies do not have such extensive awareness. In general, organizational structure in terms of formality and existing control mechanisms may affect information leakage. The third case is the lack of proper communication within the organization. To achieve shared understanding, communication is required to convey a set of necessary values and norms that define the rules or context of interaction. Infrastructural factors with a weight of 0.167 were the fourth most effective factor on information leakage in Ahvaz International Airport. Similarly, among the infrastructure sub-factors, the weakness of information systems with a weight of 0.418 was the most important sub-factor and the presence of security holes in the network infrastructure with a weight of 0.258 was the least important sub-factor. The first is the weakness of information systems. Buying an incomplete information system and weak design of information systems may cause serious problems for organizations. Mechanisms that insiders use to perform business tasks based on their usual information systems can also be used to steal information assets. To prevent leakage and theft of information, mechanisms and protective measures against these methods should be used. The second case is improper use of physical means of data storage (hard drives, USB, CD, etc.). These days, most of the information inside the organization is stored electronically, the media of this information are hard drives, C drives. D. and U. S. etc.) are physical tools that are likely to be physically stolen. Preventing leakage with these devices requires implementing physical security measures. The third thing is the presence of security holes in the network infrastructure. The organization's networks are one of the essential parts of the organization's information technology infrastructure. There are several types of communication in the network. Internal-to-external communication includes any communication that is initiated within the boundaries of the organization and whose destination is outside the organization.
Finally, environmental factors with a weight of 0.133 were the fifth most effective factors on information leakage in Ahvaz International Airport. Also, among the environmental sub-factors, the stakeholders' request for information about security incidents with a weight of 0.416 was the most important sub-factor and the requirements of business partners with a weight of 0.259 was the least important sub-factor. One of the input sources that shape the behavior of people in an organization is the organizational environment. Employee decisions are influenced by environmental structure, the availability of environmental information, and the relevant meaning that employees assign to environmental information. The first case is the request of stakeholders to inform about security incidents. In the recent era, the demand for the type of information leakage events for companies is more intense, external and internal stakeholders are constantly concerned about maintaining a good public image of the organization. Overall, public interest in data breach incidents appears to exert pressure on organizations, while organizational responses are dynamic and appear to change over time. If stakeholder expectations are ignored and social influence is allowed to run its course, political and legal pressure will build, often leading to negative corporate outcomes. Stakeholder dissatisfaction arises when corporate actions do not meet societal expectations, and the gap between corporate actions and stakeholder expectations widens as public trust declines. Therefore, the greater the employees' understanding of information protection as a social expectation, the greater the perception of public leakage events as a threat to the company's image.
In general, the results show that information leakage is a major concern for organizations. In this context, the more the organization depends on information assets, the more relevant the concern of information leakage becomes. In such a situation, the taste of the competitors is stimulated more and more to think of the necessary mechanism to deal with it by getting the information of the organization, while being aware of the related organization's plans. Therefore, the identification of factors affecting information leakage in the form of 21 sub-factors in 5 groups provided the necessary insight to the managers of Ahvaz airport to strengthen the vulnerable points by adopting the necessary measures such as building trust, strengthening the sense of cooperation, observing professional ethics. , using motivational measures, raising awareness of the value of information, proper training of employees regarding information security, redesigning information systems, and designing targeted programs regarding information storage, sharing, and transfer.
Saeed Ghaffari, Masoud Bakhtiari,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
Introduction
The purpose of this study is to propose evaluation criteria for assessing the user interface of national digital libraries for Payam Noor University. Payam Noor University's libraries have long preserved human culture and civilization, playing a significant role in the transmission of this culture through generations. As the main organization for a country's libraries, they must adapt to modern responsibilities to impact the development of libraries and information in the nation. Given the significance of designing a suitable user interface and the role of digital libraries at Payam Noor University, there is a need for research in this area. The study compares the user interface of digital libraries at Payam Noor University or selected digital collections with established criteria, identifying the richest library in terms of user interface within the studied community. The research questions include:
1. What is the status of each studied digital library regarding the 10 user interface criteria?
2. How well do the studied libraries adhere to the 10 user interface standards?
3. What is the best user interface recommendation for the digital library web pages of Payam Noor University libraries?
Methods and Materoal
The research uses a survey and descriptive method. The Norozi checklist (2018), which comprises 10 main criteria and 114 sub-components, serves as the research tool. A Delphi panel and descriptive survey method evaluate the libraries. Data collection is achieved through direct observation and scoring each component on the desired web page. The statistical population comprises 10 digital libraries affiliated with Payam Noor University in various countries. The final list of libraries was selected from those with English web pages, found through searches in Europe, North and South America, Asia, and the Pacific. The study's statistical population includes 10 digital libraries in America, Australia, France, Switzerland, New Zealand, Netherlands, Poland, Japan, India, and Italy. The research used the Delphi method and involved interviews with 10 experts. Some digital libraries with only the home page in English or in a non-English language were excluded. Similarly, certain cases, such as databases masquerading as digital libraries, were excluded as they did not meet the study's definition of a digital library.
Table 1. Selected digital libraries
The purpose of this study is to propose evaluation criteria for assessing the user interface of national digital libraries for Payam Noor University. Payam Noor University's libraries have long preserved human culture and civilization, playing a significant role in the transmission of this culture through generations. As the main organization for a country's libraries, they must adapt to modern responsibilities to impact the development of libraries and information in the nation. Given the significance of designing a suitable user interface and the role of digital libraries at Payam Noor University, there is a need for research in this area. The study compares the user interface of digital libraries at Payam Noor University or selected digital collections with established criteria, identifying the richest library in terms of user interface within the studied community. The research questions include:
1. What is the status of each studied digital library regarding the 10 user interface criteria?
2. How well do the studied libraries adhere to the 10 user interface standards?
3. What is the best user interface recommendation for the digital library web pages of Payam Noor University libraries?
Methods and Materoal
The research uses a survey and descriptive method. The Norozi checklist (2018), which comprises 10 main criteria and 114 sub-components, serves as the research tool. A Delphi panel and descriptive survey method evaluate the libraries. Data collection is achieved through direct observation and scoring each component on the desired web page. The statistical population comprises 10 digital libraries affiliated with Payam Noor University in various countries. The final list of libraries was selected from those with English web pages, found through searches in Europe, North and South America, Asia, and the Pacific. The study's statistical population includes 10 digital libraries in America, Australia, France, Switzerland, New Zealand, Netherlands, Poland, Japan, India, and Italy. The research used the Delphi method and involved interviews with 10 experts. Some digital libraries with only the home page in English or in a non-English language were excluded. Similarly, certain cases, such as databases masquerading as digital libraries, were excluded as they did not meet the study's definition of a digital library.
Table 1. Selected digital libraries
| Internet address | Name of the library |
| http://www.nla.gov.au/digicoll/ | National library of Australia (Digital collection) |
| http://memory.loc.gov/ammem/index.html | Ntional library of America |
| http://gallica.bnf.fr/?&lang=EN | National library of France(Digital library) |
| https://www.ehelvetica.nb.admin.ch/pages/main.jsf | National library of swiss(Digital collection) |
| http://ndha-iki.natlib.govt.nz/ndha/pages/Bugs | Newzeland national digital herittage archive |
| http://www.polona.pl/dlibra?action=ChangeLanguageAction&language=en | National digital library of Poland |
| http://www.geheugenvannederland.nl/?/en/homepage | Naional library of netherland |
| http://www.ndl.go.jp/en/ | National Diet Library (digital library of japan) |
| http://paniit.iitd.ac.in/indest/ | Indian national digital library in engineering science and technology |
| http://www.iccu.sbn.it/opencms/opencms/en/main/bdi/index.html | Italian Digital ibrary |
Descriptive statistical methods have been used to analyze the data of this research. The basis of data analysis was the check list, whose scores are based on yes (1) and no (0). Also, due to the quality of some of the sub-components, it was possible that the studied libraries did not comply with them equally, or in other words, absolute presence or absence could not be applied to them. Regarding these components, in addition to two levels of zero and one, 50% of the average score has also been used. The score obtained by each of the studied libraries in relation to each of the components is multiplied by the average of the coefficients obtained (weighted average) by the components from the Delphi panel. It should be noted that the weighted average of each of the components is given in the relevant tables in front of the sub-components related to each of the ten criteria. In the selection of tools, after reviewing the researches, the research of Norozi (2008) was chosen as the basis and it was adapted for the current research by using other researches. In preparing the desired list, he first extracted the most frequent criteria and components after studying the available texts and sources in this field, and then using the opinions of experts and using the method of list verification. This list was used for the present study because it was more complete and comprehensive in terms of the number of criteria to be evaluated and the components mentioned in the field of user interface of digital libraries.
Resultss and Discussion
In the first question, the issue was addressed to what extent is the status of each of the studied digital libraries in terms of the 10 user interface criteria. Out of 10 libraries under review, 8 libraries have managed to get more than 50% points. Digital Library of America with 598/68 points (70.42%), France with 573.56 points (62.09%) and Switzerland with 569.07 points (61.59%) are in the first three positions respectively. have The digital library of Italy is in the last place with 50.366 points (40.14%).
In the second question, it was addressed to what extent each of the 10 criteria of the user interface is observed in the studied libraries. From the obtained information, it has been determined that among the 10 investigated standards, the standard of the user interface language has the highest level of compliance among the standards by obtaining 98.35% of the points of the standard. Another criterion that is in the next position is the criterion of simplicity. Compliance with the components of this standard also seems necessary in terms of facilitating the user's communication with the library in question. The criterion that has received the lowest possible score is the user control criterion, which has received only 6.70% of the score of this criterion. Due to the characteristic of digital libraries in eliminating human factors, there is a need for more consideration in this field. To answer this question, the average of all countries in compliance with each criterion is used.
In the third question, it was discussed that what is the optimal user interface proposal for the digital library web pages for Payamnoor University libraries. However, by looking at the observed components, it is clear that most of the libraries have been successful in complying with the general criteria and most of the points obtained are related to the compliance with the general criteria that are of interest on the website pages and special attention is paid to the criteria that are in the scope of the duties of digital libraries. is not included due to the definitions. As seen in the previous questions, the standard of interface language has had the highest level of compliance. One of the reasons for observing the components of this standard in all libraries could be the fact that the language of these countries is not English, and for this reason, for the convenience and interaction of the user, we have tried to observe the writing notes related to the pages. Also, observing the writing points and brevity of the sentences is one of the important and main categories in the design of web pages. A successful digital library is a library that, despite the complexity of its system, can provide information to users simply and with the least amount of time. Also, by providing different options and facilities, it makes the user unnecessary to go to the library and provides the maximum amount of information for his community. More than half of the studied digital libraries, in the design of their user interface, have observed the evaluated criteria at a level of more than 50%, which should be taken into consideration by the digital libraries of Payam Noor University.
Conclusion:
Digital libraries should be able to improve and accelerate information access methods. The existence of various components of search functionality facilitates this possibility. The existence of different search capabilities is effective in more user interaction. The interaction steps should be in such a way that the loading of the memory is low and short. Due to the fact that the information society is developing rapidly, the time validity of the information may also change rapidly, so one of the important things is to mention the date of updating on the pages of digital libraries. The non-activation of library links is another reason for the library not being up-to-date. Therefore, it is recommended to include the update date on all pages. One of the characteristics of digital libraries is self-service expansion, so appropriate library guidance helps in this goal. Another feature of digital libraries is the elimination of human factors. As a result, it is necessary to have options to ask the librarian. The digital library should be able to provide appropriate guidance to users to enable them to obtain the information they need in the desired formats. The use of a suitable combination of color, font, shading options to distinguish them from nearby options, the use of clear images and symbols, etc., all affect the user's understanding of the system, which has been observed relatively well in the studied libraries. But some options require more attention. Determining mandatory information entry fields allows the user to easily get the desired results, which, based on the findings of this research, has not been observed by any of the libraries. The use of graphics, sound and images is effective on the user's understanding and makes the environment more enjoyable. Personalization, because it identifies the user's needs and successfully solves them, establishes a satisfactory relationship between the user and the system, so in the design of digital libraries, one should be taken into account Users of a computer information system may be different in terms of physical and cognitive abilities, personality characteristics and cultural factors, and these differences should be considered in the design of user interface elements and features so that different groups of users can be satisfied with the computer system. None of the mentioned cases have been taken into consideration in the interface design of the studied libraries, which requires more consideration. Error correction criteria, although they are important for the user's interaction with the system and reducing the user's error during work, are very few in the interface design of the libraries. study, have been considered. The method of writing, announcing and designing error messages to attract the user's attention should be taken into account, considering the elimination of human factors.Users turning to the Internet due to the lack of enough time to visit libraries was one of the reasons for creating digital libraries. Digital libraries have facilitated and accelerated users' access to the required information in order to provide various facilities. But what realizes this goal is a suitable architecture and design in creating a digital library. If the needs of users, the type of society and other factors are taken into consideration in the design of digital libraries, it can be said that the library will reach the desired goals. Due to the fact that in the design of digital libraries, the discussion of user interface is very important in order to eliminate human factors, digital libraries should consider the features related to the user interface in their design. Due to the importance of this discussion, the user interface of different digital libraries need to be continuously evaluated. The present research also aimed to investigate this issue by: "Evaluating the user interface on the English web pages of selected national digital libraries based on the criteria found in the texts and sources". Conducting the research needed criteria so that the evaluation could be done through it. After examining the history related to the research in the field of digital library and user interface, it was observed that despite the studies conducted in the field of user interface, these studies were not conducted in a complete and comprehensive manner and different researchers each have only one or a limited number of criteria. had investigated in the field of different information systems. The only comprehensive work done was Norozi's doctoral thesis (2008) and the researcher finally decided to use his model in the current research. Then, all 114 desired components were evaluated by direct observation on the web pages of the libraries under review. By looking at the observed components, it is clear that most of the libraries have been successful in complying with the general criteria and most of the points obtained are related to the compliance with the general criteria and more than half of the national digital libraries under study, in the design of their user interface, have evaluated the criteria. At a level of more than 50%, it is suggested that the digital libraries of Payam Noor University also use these criteria for more success. Based on the findings of the research, in order to improve the user interface of digital libraries, suggestions are provided for Payam Noor libraries:
1. In addition to observing the general components of the search, it seems necessary to observe the specific components such as proximity search, related keyword suggestion, marking of the search results, in order to save the user's time. And this should be seen in the libraries of Payam Noor University.
2. The existence of the site map facilitates the use of the library for the user.
3. Information display criteria should be given more attention in order to make system information accessible.
4. Reducing the time spent by the user and attracting and maintaining the user need attention. Users expect the elements on the first page to be important, so the existence of a site map, and access to pages with many visitors, are among the necessities.
5. In the design of the user interface of digital libraries, in addition to the criteria that are considered in the design of public websites, special criteria should be given special attention.
Resultss and Discussion
In the first question, the issue was addressed to what extent is the status of each of the studied digital libraries in terms of the 10 user interface criteria. Out of 10 libraries under review, 8 libraries have managed to get more than 50% points. Digital Library of America with 598/68 points (70.42%), France with 573.56 points (62.09%) and Switzerland with 569.07 points (61.59%) are in the first three positions respectively. have The digital library of Italy is in the last place with 50.366 points (40.14%).
In the second question, it was addressed to what extent each of the 10 criteria of the user interface is observed in the studied libraries. From the obtained information, it has been determined that among the 10 investigated standards, the standard of the user interface language has the highest level of compliance among the standards by obtaining 98.35% of the points of the standard. Another criterion that is in the next position is the criterion of simplicity. Compliance with the components of this standard also seems necessary in terms of facilitating the user's communication with the library in question. The criterion that has received the lowest possible score is the user control criterion, which has received only 6.70% of the score of this criterion. Due to the characteristic of digital libraries in eliminating human factors, there is a need for more consideration in this field. To answer this question, the average of all countries in compliance with each criterion is used.
In the third question, it was discussed that what is the optimal user interface proposal for the digital library web pages for Payamnoor University libraries. However, by looking at the observed components, it is clear that most of the libraries have been successful in complying with the general criteria and most of the points obtained are related to the compliance with the general criteria that are of interest on the website pages and special attention is paid to the criteria that are in the scope of the duties of digital libraries. is not included due to the definitions. As seen in the previous questions, the standard of interface language has had the highest level of compliance. One of the reasons for observing the components of this standard in all libraries could be the fact that the language of these countries is not English, and for this reason, for the convenience and interaction of the user, we have tried to observe the writing notes related to the pages. Also, observing the writing points and brevity of the sentences is one of the important and main categories in the design of web pages. A successful digital library is a library that, despite the complexity of its system, can provide information to users simply and with the least amount of time. Also, by providing different options and facilities, it makes the user unnecessary to go to the library and provides the maximum amount of information for his community. More than half of the studied digital libraries, in the design of their user interface, have observed the evaluated criteria at a level of more than 50%, which should be taken into consideration by the digital libraries of Payam Noor University.
Conclusion:
Digital libraries should be able to improve and accelerate information access methods. The existence of various components of search functionality facilitates this possibility. The existence of different search capabilities is effective in more user interaction. The interaction steps should be in such a way that the loading of the memory is low and short. Due to the fact that the information society is developing rapidly, the time validity of the information may also change rapidly, so one of the important things is to mention the date of updating on the pages of digital libraries. The non-activation of library links is another reason for the library not being up-to-date. Therefore, it is recommended to include the update date on all pages. One of the characteristics of digital libraries is self-service expansion, so appropriate library guidance helps in this goal. Another feature of digital libraries is the elimination of human factors. As a result, it is necessary to have options to ask the librarian. The digital library should be able to provide appropriate guidance to users to enable them to obtain the information they need in the desired formats. The use of a suitable combination of color, font, shading options to distinguish them from nearby options, the use of clear images and symbols, etc., all affect the user's understanding of the system, which has been observed relatively well in the studied libraries. But some options require more attention. Determining mandatory information entry fields allows the user to easily get the desired results, which, based on the findings of this research, has not been observed by any of the libraries. The use of graphics, sound and images is effective on the user's understanding and makes the environment more enjoyable. Personalization, because it identifies the user's needs and successfully solves them, establishes a satisfactory relationship between the user and the system, so in the design of digital libraries, one should be taken into account Users of a computer information system may be different in terms of physical and cognitive abilities, personality characteristics and cultural factors, and these differences should be considered in the design of user interface elements and features so that different groups of users can be satisfied with the computer system. None of the mentioned cases have been taken into consideration in the interface design of the studied libraries, which requires more consideration. Error correction criteria, although they are important for the user's interaction with the system and reducing the user's error during work, are very few in the interface design of the libraries. study, have been considered. The method of writing, announcing and designing error messages to attract the user's attention should be taken into account, considering the elimination of human factors.Users turning to the Internet due to the lack of enough time to visit libraries was one of the reasons for creating digital libraries. Digital libraries have facilitated and accelerated users' access to the required information in order to provide various facilities. But what realizes this goal is a suitable architecture and design in creating a digital library. If the needs of users, the type of society and other factors are taken into consideration in the design of digital libraries, it can be said that the library will reach the desired goals. Due to the fact that in the design of digital libraries, the discussion of user interface is very important in order to eliminate human factors, digital libraries should consider the features related to the user interface in their design. Due to the importance of this discussion, the user interface of different digital libraries need to be continuously evaluated. The present research also aimed to investigate this issue by: "Evaluating the user interface on the English web pages of selected national digital libraries based on the criteria found in the texts and sources". Conducting the research needed criteria so that the evaluation could be done through it. After examining the history related to the research in the field of digital library and user interface, it was observed that despite the studies conducted in the field of user interface, these studies were not conducted in a complete and comprehensive manner and different researchers each have only one or a limited number of criteria. had investigated in the field of different information systems. The only comprehensive work done was Norozi's doctoral thesis (2008) and the researcher finally decided to use his model in the current research. Then, all 114 desired components were evaluated by direct observation on the web pages of the libraries under review. By looking at the observed components, it is clear that most of the libraries have been successful in complying with the general criteria and most of the points obtained are related to the compliance with the general criteria and more than half of the national digital libraries under study, in the design of their user interface, have evaluated the criteria. At a level of more than 50%, it is suggested that the digital libraries of Payam Noor University also use these criteria for more success. Based on the findings of the research, in order to improve the user interface of digital libraries, suggestions are provided for Payam Noor libraries:
1. In addition to observing the general components of the search, it seems necessary to observe the specific components such as proximity search, related keyword suggestion, marking of the search results, in order to save the user's time. And this should be seen in the libraries of Payam Noor University.
2. The existence of the site map facilitates the use of the library for the user.
3. Information display criteria should be given more attention in order to make system information accessible.
4. Reducing the time spent by the user and attracting and maintaining the user need attention. Users expect the elements on the first page to be important, so the existence of a site map, and access to pages with many visitors, are among the necessities.
5. In the design of the user interface of digital libraries, in addition to the criteria that are considered in the design of public websites, special criteria should be given special attention.
Mr Mohammad Farahani, Dr Monir Alsadat Navabi,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
Introduction
This study aimed to investigate and quantify the results of studies examining the relationship between leadership styles of managers and employee burnout. Burnout is a job-related phenomenon that can lead to mental disorders such as depression and an increased risk of suicide. It negatively impacts various professions and organizations, particularly in the social services and healthcare sectors. Managers' leadership styles play a crucial role in either reducing or increasing employee burnout.
Methods and Materoal
The research was conducted through a systematic review and meta-analysis, following the PRISMA guidelines. Studies related to leadership styles and burnout from 2000 to 2024 were reviewed.
To identify relevant studies, national and international databases were searched using related keywords. Nineteen selected studies, examining the relationship between various leadership styles (transformational, transactional, ethical, and spiritual) and burnout, were analyzed. The studies were conducted in different Iranian cities, including Khorramabad, Gilan, Tehran, Sanandaj, and Shiraz, with sample sizes ranging from 87 to 369 participants. The methodologies used included descriptive-correlational analysis and structural equation modeling, with common tools being leadership style questionnaires and the Maslach Burnout Inventory.
Resultss and Discussion
The meta-analysis findings revealed a moderate, significant negative relationship between managers' leadership styles and employee burnout (g = -0.35; 95% CI [-0.42, -0.28]). However, Galbraith and funnel plots indicated relatively high heterogeneity and publication bias in some studies. The meta-regression showed that sample size explained 16.17% of the heterogeneity between studies, while publication year and research location were not significant. Additionally, the cumulative plot demonstrated fluctuations in results over time, indicating a lack of stability. These findings suggest the need for more research to achieve stable and accurate conclusions.
Conclusion
The discussion and conclusion section highlights the importance of examining the relationship between leadership styles and burnout, given the prevalence of burnout and its negative effects on employee productivity and mental health. Evidence suggests that inappropriate leadership styles can lead to burnout. Managers with suitable leadership styles can prevent reduced performance and employee motivation. However, due to the heterogeneity of studies and methodological limitations, caution should be exercised when generalizing the results. Future research should use standardized scales, advanced statistical methods, and larger random samples to ensure more reliable outcomes.
ِdr Shahnaz Khademizadeh, Mrs Fatemeh Rafieinasab, Dr Natarajan Radhakrishnan,
Volume 11, Issue 1 (6-2024)
Volume 11, Issue 1 (6-2024)
Abstract
Introduction
With the emergence of the Internet and the expansion of information technologies in the current era, along with the increase in awareness and literacy levels in human societies, there has been a growing interest in accessing information in various fields. One type of information that has always captivated the general public is health-related information, as it directly impacts their quality of life. Health information encompasses a wide range of data that can influence decisions related to individual and social well-being. Electronic health resources play a crucial role in helping individuals manage important health issues, make informed decisions about their health, and communicate with healthcare providers. Studies have shown that internet users not only exhibit better adherence to treatment, reduced anxiety, and a greater sense of security, but also demonstrate improved self-care behaviors compared to those who do not utilize online resources (Riahi, 2017). By seeking health information online, individuals can gain a better understanding of their health status, which in turn can lead to the formation of informed opinions, beliefs, and attitudes towards healthy behaviors, ultimately aiding in making informed decisions regarding healthcare (Ahedzadeh and Sharif, 2017; Brown, Skelly, Chew-Graham, 2020). Therefore, the objective of this study is to explore the health information-seeking behavior of clients within health and treatment networks in Ahvaz city.
Methods and Materoal
The current research is an experimental study conducted using the pre-test and post-test intervention method. The research population consisted of 40 clients from Ahvaz Medical Center, whose average score of health information-seeking behavior was one point below the average. Of these, 20 individuals were randomly assigned to the control group. Additionally, two groups of 20 people each were formed using block randomization: one as the control group and the other as the test group for the intervention. The educational intervention took the form of a 4-hour online training workshop. To assess changes in online health information search behaviors, uncertainty, and cyberchondria in the study group, the Generalized Estimating Equations (GEE) method was utilized. The protocol used for online education on social networks was the SDI protocol (Bhushan 2006, Juyani et al. 2022). A questionnaire served as the data collection tool, completed by the test groups within one month and returned to the researchers. Data collection occurred at baseline (pre-intervention) and at one, two, and three months post-intervention. Baseline scores were used as covariates in the model to adjust for differences between the control and intervention groups. The results of the GEE model reflected changes in the desired factors at the three measurement points post-intervention. Furthermore, Bonferroni's post hoc test was employed to compare the distribution of online health information search scores, uncertainty, and cyberchondria between the two groups at each time point. All analyses were conducted using SPSS software version 26.
Resultss and Discussion
Findings: There was no significant difference in the effect of the educational intervention on changes in the online health information search score (P>0.05). For the control group, the average uncertainty score increased over time. However, there was a significant difference in the effect of the educational intervention on changes in the uncertainty score (P<0.001). Results of the external post-hoc test comparing changes in the uncertainty score between the two intervention groups and the control group showed a significant difference in the distribution of uncertainty scores before the intervention (P>0.046), as well as two and three months after the intervention (P>0.001). Additionally, there was a significant difference in the cyberchondria score before the intervention (P>0.076) and three months after the intervention (P>0.025) in each case.
Conclusion
Health information behavior training is a positive step towards increasing the decision-making self-efficacy of community members and patients. When combined with other efforts to promote health and care, it can lead to improved health outcomes. The effectiveness of educational interventions in different groups depends on the methods, materials, and content used. This study found that a patient educational intervention aimed at teaching information-seeking behavior skills to health center visitors had a positive impact on reducing cyberchondria and increasing certainty. The availability of information search platforms, the type of sources used, and the ability to utilize them based on age requirements are important factors in information seeking (Bahadir and Dundar, 2022). Uncertainty and doubt can drive individuals to seek health information online (Khademizadeh, Rafieinasab and Radhakrishnan, 2024), making educational interventions focused on empowerment dimensions beneficial in improving clinical and psychological outcomes. These interventions can enhance quality of life for both society and patients, taking into account factors such as age, education, occupation, and income status. This research presents a new approach to educational interventions that are cost-effective, accessible, and complication-free for health management and promotion in society.
With the emergence of the Internet and the expansion of information technologies in the current era, along with the increase in awareness and literacy levels in human societies, there has been a growing interest in accessing information in various fields. One type of information that has always captivated the general public is health-related information, as it directly impacts their quality of life. Health information encompasses a wide range of data that can influence decisions related to individual and social well-being. Electronic health resources play a crucial role in helping individuals manage important health issues, make informed decisions about their health, and communicate with healthcare providers. Studies have shown that internet users not only exhibit better adherence to treatment, reduced anxiety, and a greater sense of security, but also demonstrate improved self-care behaviors compared to those who do not utilize online resources (Riahi, 2017). By seeking health information online, individuals can gain a better understanding of their health status, which in turn can lead to the formation of informed opinions, beliefs, and attitudes towards healthy behaviors, ultimately aiding in making informed decisions regarding healthcare (Ahedzadeh and Sharif, 2017; Brown, Skelly, Chew-Graham, 2020). Therefore, the objective of this study is to explore the health information-seeking behavior of clients within health and treatment networks in Ahvaz city.
Methods and Materoal
The current research is an experimental study conducted using the pre-test and post-test intervention method. The research population consisted of 40 clients from Ahvaz Medical Center, whose average score of health information-seeking behavior was one point below the average. Of these, 20 individuals were randomly assigned to the control group. Additionally, two groups of 20 people each were formed using block randomization: one as the control group and the other as the test group for the intervention. The educational intervention took the form of a 4-hour online training workshop. To assess changes in online health information search behaviors, uncertainty, and cyberchondria in the study group, the Generalized Estimating Equations (GEE) method was utilized. The protocol used for online education on social networks was the SDI protocol (Bhushan 2006, Juyani et al. 2022). A questionnaire served as the data collection tool, completed by the test groups within one month and returned to the researchers. Data collection occurred at baseline (pre-intervention) and at one, two, and three months post-intervention. Baseline scores were used as covariates in the model to adjust for differences between the control and intervention groups. The results of the GEE model reflected changes in the desired factors at the three measurement points post-intervention. Furthermore, Bonferroni's post hoc test was employed to compare the distribution of online health information search scores, uncertainty, and cyberchondria between the two groups at each time point. All analyses were conducted using SPSS software version 26.
Resultss and Discussion
Findings: There was no significant difference in the effect of the educational intervention on changes in the online health information search score (P>0.05). For the control group, the average uncertainty score increased over time. However, there was a significant difference in the effect of the educational intervention on changes in the uncertainty score (P<0.001). Results of the external post-hoc test comparing changes in the uncertainty score between the two intervention groups and the control group showed a significant difference in the distribution of uncertainty scores before the intervention (P>0.046), as well as two and three months after the intervention (P>0.001). Additionally, there was a significant difference in the cyberchondria score before the intervention (P>0.076) and three months after the intervention (P>0.025) in each case.
Conclusion
Health information behavior training is a positive step towards increasing the decision-making self-efficacy of community members and patients. When combined with other efforts to promote health and care, it can lead to improved health outcomes. The effectiveness of educational interventions in different groups depends on the methods, materials, and content used. This study found that a patient educational intervention aimed at teaching information-seeking behavior skills to health center visitors had a positive impact on reducing cyberchondria and increasing certainty. The availability of information search platforms, the type of sources used, and the ability to utilize them based on age requirements are important factors in information seeking (Bahadir and Dundar, 2022). Uncertainty and doubt can drive individuals to seek health information online (Khademizadeh, Rafieinasab and Radhakrishnan, 2024), making educational interventions focused on empowerment dimensions beneficial in improving clinical and psychological outcomes. These interventions can enhance quality of life for both society and patients, taking into account factors such as age, education, occupation, and income status. This research presents a new approach to educational interventions that are cost-effective, accessible, and complication-free for health management and promotion in society.
- Khadije Akar, - Mohammad Reza Kiani, - Mahmood Sangari,
Volume 11, Issue 2 (9-2024)
Volume 11, Issue 2 (9-2024)
Abstract
Abstract
Introduction/Background: The huge volume of data and information circulating in social networks, along with their popularity and widespread use, exposes these networks to numerous security risks. Therefore, nowadays the security and privacy of users has become one of the most important issues in social networks. Many factors affect the security and privacy of users in social networks, among which this research examines the role of individual factors in the behaviors related to the security and privacy of users in social networks.
Methodology: This descriptive survey used a Researcher-made questionnaire on a sample of students of University of Birjand (375 participants). For questionnaire’s validity, the experts’ opinions was used, and Cronbach's alpha was used for questionnaire’s reliability (0.876).
Findings/: The average of users' overall awareness of security and privacy in social networks was significantly less than the optimal level, while the average of users' overall importance of security and privacy in social networks was higher than the optimal level. The amount of behaviors related to individual factors among the respondents was lower than expected. Also, the mean of attack experience variables, successful privacy changes, visit frequency, technological ability and skills, and perceived ease were significantly lower than desired; But the variables of trust in the system, perceived benefit, perceived risk and perceived importance were significantly more than the desired level. Also, the scores of undergraduate students in all variables were higher than those of master's and doctoral students
Results: Although the respondents attached great importance to topics related to security and privacy, their awareness of many of these topics was less than expected. Also, the subjects of this research did not perform the behaviors related to individual factors related to security and privacy in social networks as expected.
Saeed Rouhi Shalemaie, Mohammad Khandan, Ali Shabani,
Volume 11, Issue 2 (9-2024)
Volume 11, Issue 2 (9-2024)
Abstract
Introduction
The present research aims to design a model for intergenerational knowledge sharing in order to identify the dimensions and rank the Factors and Components influencing intergenerational knowledge sharing in the car leasing industry.
Methods and Materoal
Considering the conceptual framework of the present study and the nature and type of available data and information for presenting a conceptual model of intergenerational knowledge sharing in the leasing industry, the research method utilized is an exploratory mixed-methods approach. This study is fundamental in its outcomes, has a practical nature, and is also critical in terms of its paradigm. The statistical population of this research comprises two sections: the qualitative part consists of 17 experts and specialists from the leasing industry, while the quantitative part includes a total of 970 employees currently working in this industry. Based on Cochran's formula and with a 95% margin of error, a sample of 275 individuals was selected. To ensure greater confidence, an additional 25% was added to the minimum sample size, leading to 343 questionnaires being sent to employees. Ultimately, 336 complete and valid questionnaires were returned, which were used for analysis in this research. Non-probability purposive sampling was employed for sample selection. Purposive sampling involves selecting a portion of the population based on the researcher's (or experts and specialists') judgment. In this method, sample acceptance criteria are defined, and individuals are selected for the survey regarding the research subject based on these criteria. In this research, the criteria for purposive sampling to select experts in the qualitative section were: 1) Leasing industry experts with more than 5 years of experience. 2) Leasing industry experts holding master's and doctoral degrees. After conducting interviews with selected individuals and upon reaching saturation in responses, with the agreement of the supervisors and advisors, the theoretical saturation was achieved, and the number of samples is detailed in the table below. Additionally, in the quantitative section, Cochran's formula was utilized, resulting in a selection of 336 employees from the leasing industry through simple random sampling. The data collection for this research was based on library studies including books, articles, websites, and relevant Persian and English internet information portals. Given the scarcity of library resources on the research topic, the most significant source used has been the internet and various databases, which has added to the importance of the research and the currency of information. For data collection in both qualitative and quantitative sections, field methods and tools such as semi-structured interviews and questionnaires were employed, which will be elaborated upon further. Semi-structured interviews are among the most common types of interviews used in social qualitative research. These interviews can be both structured and unstructured, and are sometimes referred to as in-depth interviews, where all respondents are asked similar questions and can freely answer the questions. In this research, for the semi-structured interviews, common questions were utilized based on the opinions of experts and professionals in the leasing industry, and the responses derived from these questions were transformed into specific components through descriptive analysis with the help of open, axial, and selective coding. For conducting field studies, a questionnaire has been utilized. Accordingly, based on the research objectives and questions, the research tool, namely the questionnaire, was designed. To gather information, both the questionnaire and semi-structured interviews were employed. In this research, categories were used to analyze the semi-structured interviews. The categories are often labeled as codes or keywords; however, anything that is labeled has the capability to organize and systematize the data, often functioning even as analytical codes. Analytical codes are the result of an analytical process that goes beyond merely identifying a topic. The coding of information was also analyzed using MaxQDA software. After collecting the conducted interviews and extracting their indicators, we entered them into MaxQDA and categorized them into groups and sets, each related to one of the main indicators. In the code system section of MAXQDA software, we established a hierarchical arrangement of codes and subcodes. In this research, descriptive statistics including frequency, percentage, mean, and standard deviation were used to analyze the obtained data from the samples. Additionally, in the inferential statistics section, the structural equation modeling method was employed. These analyses were conducted using SPSS and Smart PLS 2.0 statistical software.
Resultss and Discussion
The findings in the quantitative section indicated that 55 percent of the respondents were male and 45 percent were female. The majority of the sample had over 15 years of work experience (80 percent). The education level of 80 percent of the individuals was at the master's level, and the most common age range in the group was 30 to 50 years, accounting for 90 percent. The qualitative findings showed that 43.8 percent of the respondents were male and 56.3 percent were female. The majority of the sample had over 15 years of work experience (51.2 percent). The education level of 45.5 percent of individuals was at the master's or doctoral level, and the most common age range in this group was 40 to 50 years, comprising 39.6 percent. The results indicated that the standard deviation values were mostly below 1, with only a few below 2. This finding suggests that the data has low dispersion, and responses were primarily in alignment with each other. Additionally, to assess the normality or non-normality of the distribution of variables among the respondents, skewness and kurtosis values were utilized. Given that the skewness and kurtosis values were below 2, we can conclude that the data has a normal distribution. The findings indicated that the mean of the knowledge sharing variable is above the expected level, with a mean of 3.85 for knowledge sharing. Thus, the evaluation of the sample's opinions showed that the mean of the items related to the knowledge sharing variable is above average. Descriptive statistics revealed that the mean of the external environment variable is also above the expected level, with an average of 3.77. Consequently, the evaluation of the sample's opinions indicated that the mean of the items related to the external environment variable is above average as well. A review of the descriptive statistics showed that the mean of the innovation variable is higher than the expected level. Innovation had an average score of 3.65. Therefore, the evaluation of the sample's opinions indicated that the mean scores related to the variable of innovation are above the average level. The results obtained from the descriptive statistics review showed that the mean of the foresight variable is higher than the expected level, with an average of 3.43. Consequently, the evaluation of the sample's opinions indicated that the mean scores related to the variable of foresight are above the average level. The results from the descriptive statistics review indicated that the mean of the reactive variable is higher than the expected level, with an average of 3.88. Therefore, the evaluation of the sample's opinions showed that the mean scores related to the reactive variable are above the average level. The results obtained from the descriptive statistics review indicated that the mean of the analytical variable is higher than the expected level, with an average of 3.79. Hence, the evaluation of the sample's opinions indicated that the mean scores related to the analytical variable are above the average level. The results from the descriptive statistics review showed that the mean of the information technology governance variable is higher than the expected level, with an average of 3.71. Therefore, the evaluation of the sample's opinions indicated that the mean scores related to the information technology governance variable are above the average level. The results from the descriptive statistics review showed that the mean of the organizational structural variable is higher than the expected level, with an average of 3.57. Thus, the evaluation of the sample's opinions indicated that the mean scores related to the organizational structural variable are above the average level. The results obtained from the descriptive statistics review indicated that the mean of the learning organization variable is higher than the expected level, with an average of 3.71. Thus, the evaluation of the sample's opinions indicated that the mean scores related to the learning organization variable are above the average level. The results from the descriptive statistics review showed that the mean of the organizational learning variable is higher than the expected level, with an average of 3.54. The evaluation of the sample opinions indicated that the mean of the items related to the variable of organizational learning is above the average level. The results from the descriptive statistics showed that the mean for the variable of knowledge management is above the expected level, with knowledge management having a mean of 3.50. Therefore, the assessment of the sample opinions revealed that the mean of the items related to the variable of knowledge management is above the average level. The components of knowledge sharing, external environment, innovation, foresight, responsiveness, analysis, information technology governance, organizational structure, learning organization, organizational learning, and knowledge management have a direct and significant impact on inter-generational knowledge sharing in the leasing industry. Based on the results from the structural equation modeling, it is observed that knowledge sharing has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.362. Hence, it can be said that for a 36% increase in knowledge sharing, the transfer of inter-generational knowledge sharing also increases by 36%. The external environment has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.331. Therefore, it can be stated that for a 33% increase in the external environment, the transfer of inter-generational knowledge sharing also increases by 33%. Innovation has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.322. Consequently, it can be said that for a 32% increase in the innovation environment, the transfer of inter-generational knowledge sharing also increases by 32%. Foresight has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.376. Thus, it can be stated that for a 38% increase in foresight, the transfer of inter-generational knowledge sharing also increases by 38%. Responsiveness has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.301. Therefore, it can be concluded that for a 30% increase in responsiveness, the transfer of inter-generational knowledge sharing also increases by 30%. An analysis of intergenerational knowledge sharing shows a significant and positive relationship, with a standardized effect size of 0.338. Therefore, it can be said that for every 34% increase in the analytic aspect, intergenerational knowledge sharing also increases by 34%. The governance of information technology has a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.329. Thus, it can be stated that for every 33% increase in information technology governance, intergenerational knowledge sharing also increases by 33%. Organizational structure has a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.377. Accordingly, it can be inferred that for every 38% increase in organizational structure, intergenerational knowledge sharing increases by 38%. A learning organization has a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.347. Thus, it can be said that for every 35% increase in learning organizations, intergenerational knowledge sharing also increases by 35%. Organizational learning has a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.353. Therefore, it can be stated that for every 35% increase in organizational learning, intergenerational knowledge sharing increases by 35%. Knowledge management shows a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.967. Thus, it can be concluded that for every 97% increase in knowledge management, intergenerational knowledge sharing also increases by 97%.
Conclusion
Based on the results obtained, the components (knowledge sharing, external environment, innovation, foresight, reaction, analytical, information technology governance, organizational structure, learning organization, organizational learning, knowledge management) were identified as the main components, while the components (planning and organizing information technology, acquiring and implementing information technology, delivery and support for information technology, monitoring and evaluating information technology, complexity, formalization, centralization and decentralization, personal capabilities and skills, patterns and mental models, shared vision and goals, team learning, systems thinking) were considered as sub-components affecting intergenerational knowledge sharing in the leasing industry. According to the assessments conducted, the components (knowledge management (97%), organizational structure (38%), foresight (38%), knowledge sharing (36%), organizational learning (35%), learning organization (35%), analytical (34%), external environment (33%), information technology governance (33%), innovation (32%), and reaction (30%)) ranked in this order as having the highest impact on intergenerational knowledge sharing in the leasing industry. It was found that, from the specialists' perspective, the intergenerational knowledge sharing model in the leasing industry aligns well with the needs of this industry. This knowledge sharing model can enhance operational processes, improve service quality, and increase productivity. Furthermore, this model can facilitate the transfer of experiences and knowledge to future generations, thereby contributing to the advancement of the leasing industry. Overall, specialists believed that the intergenerational knowledge sharing model in the leasing industry is well-suited to its needs and can support its performance and progress. Based on the analysis obtained and the identification of components (knowledge sharing, external environment, innovation, foresight, reaction, analytical, information technology governance, organizational structure, learning organization, organizational learning, knowledge management), it can be concluded that all these components present a suitable model for improving the performance of the automotive leasing industry, and it is recommended that this model be considered for advancing the goals and success of this industry.
The present research aims to design a model for intergenerational knowledge sharing in order to identify the dimensions and rank the Factors and Components influencing intergenerational knowledge sharing in the car leasing industry.
Methods and Materoal
Considering the conceptual framework of the present study and the nature and type of available data and information for presenting a conceptual model of intergenerational knowledge sharing in the leasing industry, the research method utilized is an exploratory mixed-methods approach. This study is fundamental in its outcomes, has a practical nature, and is also critical in terms of its paradigm. The statistical population of this research comprises two sections: the qualitative part consists of 17 experts and specialists from the leasing industry, while the quantitative part includes a total of 970 employees currently working in this industry. Based on Cochran's formula and with a 95% margin of error, a sample of 275 individuals was selected. To ensure greater confidence, an additional 25% was added to the minimum sample size, leading to 343 questionnaires being sent to employees. Ultimately, 336 complete and valid questionnaires were returned, which were used for analysis in this research. Non-probability purposive sampling was employed for sample selection. Purposive sampling involves selecting a portion of the population based on the researcher's (or experts and specialists') judgment. In this method, sample acceptance criteria are defined, and individuals are selected for the survey regarding the research subject based on these criteria. In this research, the criteria for purposive sampling to select experts in the qualitative section were: 1) Leasing industry experts with more than 5 years of experience. 2) Leasing industry experts holding master's and doctoral degrees. After conducting interviews with selected individuals and upon reaching saturation in responses, with the agreement of the supervisors and advisors, the theoretical saturation was achieved, and the number of samples is detailed in the table below. Additionally, in the quantitative section, Cochran's formula was utilized, resulting in a selection of 336 employees from the leasing industry through simple random sampling. The data collection for this research was based on library studies including books, articles, websites, and relevant Persian and English internet information portals. Given the scarcity of library resources on the research topic, the most significant source used has been the internet and various databases, which has added to the importance of the research and the currency of information. For data collection in both qualitative and quantitative sections, field methods and tools such as semi-structured interviews and questionnaires were employed, which will be elaborated upon further. Semi-structured interviews are among the most common types of interviews used in social qualitative research. These interviews can be both structured and unstructured, and are sometimes referred to as in-depth interviews, where all respondents are asked similar questions and can freely answer the questions. In this research, for the semi-structured interviews, common questions were utilized based on the opinions of experts and professionals in the leasing industry, and the responses derived from these questions were transformed into specific components through descriptive analysis with the help of open, axial, and selective coding. For conducting field studies, a questionnaire has been utilized. Accordingly, based on the research objectives and questions, the research tool, namely the questionnaire, was designed. To gather information, both the questionnaire and semi-structured interviews were employed. In this research, categories were used to analyze the semi-structured interviews. The categories are often labeled as codes or keywords; however, anything that is labeled has the capability to organize and systematize the data, often functioning even as analytical codes. Analytical codes are the result of an analytical process that goes beyond merely identifying a topic. The coding of information was also analyzed using MaxQDA software. After collecting the conducted interviews and extracting their indicators, we entered them into MaxQDA and categorized them into groups and sets, each related to one of the main indicators. In the code system section of MAXQDA software, we established a hierarchical arrangement of codes and subcodes. In this research, descriptive statistics including frequency, percentage, mean, and standard deviation were used to analyze the obtained data from the samples. Additionally, in the inferential statistics section, the structural equation modeling method was employed. These analyses were conducted using SPSS and Smart PLS 2.0 statistical software.
Resultss and Discussion
The findings in the quantitative section indicated that 55 percent of the respondents were male and 45 percent were female. The majority of the sample had over 15 years of work experience (80 percent). The education level of 80 percent of the individuals was at the master's level, and the most common age range in the group was 30 to 50 years, accounting for 90 percent. The qualitative findings showed that 43.8 percent of the respondents were male and 56.3 percent were female. The majority of the sample had over 15 years of work experience (51.2 percent). The education level of 45.5 percent of individuals was at the master's or doctoral level, and the most common age range in this group was 40 to 50 years, comprising 39.6 percent. The results indicated that the standard deviation values were mostly below 1, with only a few below 2. This finding suggests that the data has low dispersion, and responses were primarily in alignment with each other. Additionally, to assess the normality or non-normality of the distribution of variables among the respondents, skewness and kurtosis values were utilized. Given that the skewness and kurtosis values were below 2, we can conclude that the data has a normal distribution. The findings indicated that the mean of the knowledge sharing variable is above the expected level, with a mean of 3.85 for knowledge sharing. Thus, the evaluation of the sample's opinions showed that the mean of the items related to the knowledge sharing variable is above average. Descriptive statistics revealed that the mean of the external environment variable is also above the expected level, with an average of 3.77. Consequently, the evaluation of the sample's opinions indicated that the mean of the items related to the external environment variable is above average as well. A review of the descriptive statistics showed that the mean of the innovation variable is higher than the expected level. Innovation had an average score of 3.65. Therefore, the evaluation of the sample's opinions indicated that the mean scores related to the variable of innovation are above the average level. The results obtained from the descriptive statistics review showed that the mean of the foresight variable is higher than the expected level, with an average of 3.43. Consequently, the evaluation of the sample's opinions indicated that the mean scores related to the variable of foresight are above the average level. The results from the descriptive statistics review indicated that the mean of the reactive variable is higher than the expected level, with an average of 3.88. Therefore, the evaluation of the sample's opinions showed that the mean scores related to the reactive variable are above the average level. The results obtained from the descriptive statistics review indicated that the mean of the analytical variable is higher than the expected level, with an average of 3.79. Hence, the evaluation of the sample's opinions indicated that the mean scores related to the analytical variable are above the average level. The results from the descriptive statistics review showed that the mean of the information technology governance variable is higher than the expected level, with an average of 3.71. Therefore, the evaluation of the sample's opinions indicated that the mean scores related to the information technology governance variable are above the average level. The results from the descriptive statistics review showed that the mean of the organizational structural variable is higher than the expected level, with an average of 3.57. Thus, the evaluation of the sample's opinions indicated that the mean scores related to the organizational structural variable are above the average level. The results obtained from the descriptive statistics review indicated that the mean of the learning organization variable is higher than the expected level, with an average of 3.71. Thus, the evaluation of the sample's opinions indicated that the mean scores related to the learning organization variable are above the average level. The results from the descriptive statistics review showed that the mean of the organizational learning variable is higher than the expected level, with an average of 3.54. The evaluation of the sample opinions indicated that the mean of the items related to the variable of organizational learning is above the average level. The results from the descriptive statistics showed that the mean for the variable of knowledge management is above the expected level, with knowledge management having a mean of 3.50. Therefore, the assessment of the sample opinions revealed that the mean of the items related to the variable of knowledge management is above the average level. The components of knowledge sharing, external environment, innovation, foresight, responsiveness, analysis, information technology governance, organizational structure, learning organization, organizational learning, and knowledge management have a direct and significant impact on inter-generational knowledge sharing in the leasing industry. Based on the results from the structural equation modeling, it is observed that knowledge sharing has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.362. Hence, it can be said that for a 36% increase in knowledge sharing, the transfer of inter-generational knowledge sharing also increases by 36%. The external environment has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.331. Therefore, it can be stated that for a 33% increase in the external environment, the transfer of inter-generational knowledge sharing also increases by 33%. Innovation has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.322. Consequently, it can be said that for a 32% increase in the innovation environment, the transfer of inter-generational knowledge sharing also increases by 32%. Foresight has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.376. Thus, it can be stated that for a 38% increase in foresight, the transfer of inter-generational knowledge sharing also increases by 38%. Responsiveness has a significant positive relationship with the transfer of inter-generational knowledge sharing, with a standardized effect size of 0.301. Therefore, it can be concluded that for a 30% increase in responsiveness, the transfer of inter-generational knowledge sharing also increases by 30%. An analysis of intergenerational knowledge sharing shows a significant and positive relationship, with a standardized effect size of 0.338. Therefore, it can be said that for every 34% increase in the analytic aspect, intergenerational knowledge sharing also increases by 34%. The governance of information technology has a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.329. Thus, it can be stated that for every 33% increase in information technology governance, intergenerational knowledge sharing also increases by 33%. Organizational structure has a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.377. Accordingly, it can be inferred that for every 38% increase in organizational structure, intergenerational knowledge sharing increases by 38%. A learning organization has a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.347. Thus, it can be said that for every 35% increase in learning organizations, intergenerational knowledge sharing also increases by 35%. Organizational learning has a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.353. Therefore, it can be stated that for every 35% increase in organizational learning, intergenerational knowledge sharing increases by 35%. Knowledge management shows a significant and positive relationship with intergenerational knowledge sharing, with a standardized effect size of 0.967. Thus, it can be concluded that for every 97% increase in knowledge management, intergenerational knowledge sharing also increases by 97%.
Conclusion
Based on the results obtained, the components (knowledge sharing, external environment, innovation, foresight, reaction, analytical, information technology governance, organizational structure, learning organization, organizational learning, knowledge management) were identified as the main components, while the components (planning and organizing information technology, acquiring and implementing information technology, delivery and support for information technology, monitoring and evaluating information technology, complexity, formalization, centralization and decentralization, personal capabilities and skills, patterns and mental models, shared vision and goals, team learning, systems thinking) were considered as sub-components affecting intergenerational knowledge sharing in the leasing industry. According to the assessments conducted, the components (knowledge management (97%), organizational structure (38%), foresight (38%), knowledge sharing (36%), organizational learning (35%), learning organization (35%), analytical (34%), external environment (33%), information technology governance (33%), innovation (32%), and reaction (30%)) ranked in this order as having the highest impact on intergenerational knowledge sharing in the leasing industry. It was found that, from the specialists' perspective, the intergenerational knowledge sharing model in the leasing industry aligns well with the needs of this industry. This knowledge sharing model can enhance operational processes, improve service quality, and increase productivity. Furthermore, this model can facilitate the transfer of experiences and knowledge to future generations, thereby contributing to the advancement of the leasing industry. Overall, specialists believed that the intergenerational knowledge sharing model in the leasing industry is well-suited to its needs and can support its performance and progress. Based on the analysis obtained and the identification of components (knowledge sharing, external environment, innovation, foresight, reaction, analytical, information technology governance, organizational structure, learning organization, organizational learning, knowledge management), it can be concluded that all these components present a suitable model for improving the performance of the automotive leasing industry, and it is recommended that this model be considered for advancing the goals and success of this industry.
Yaghoub Norouzi, Sima Tarashi, Narehreh Jafarifar,
Volume 11, Issue 2 (9-2024)
Volume 11, Issue 2 (9-2024)
Abstract
A museum website is an online platform created by a museum to provide information about its collections, exhibitions, programs, and services. The website serves as an important tool for engagement, allowing both local visitors and distant audiences to connect with the museum’s officials. The Persian web pages of Iranian museums play a crucial role. Persian web pages help catalog and document Iranian artifacts, ensuring that cultural heritage is preserved for future generations. They serve as educational platforms, providing information about the cultural significance and history of the items in their collections. By showcasing exhibits and events, these websites can attract both domestic and international tourists interested in Iranian culture and history. They facilitate cultural exchange by providing insights into Iranian traditions, encouraging global visitors to explore Iran's cultural treasures. Persian web pages allow for better outreach to the Persian-speaking population, ensuring that the museum information is easily accessible to locals. They enable museums to engage with the public through online exhibits, virtual tours, and interactive content, making them more accessible to those unable to visit in person. Academics and students can use these web pages as valuable resources for research on Persian art, history, and archaeology. They often provide access to digital archives, scholarly articles, and other resources to support education and research efforts. Museums can announce community events, workshops, and educational programs, fostering a sense of community involvement. By highlighting local culture and history, these web pages help reinforce a sense of national identity and pride among Iranians. Persian web pages support the use of the Persian language, promoting literacy and engagement among Persian speakers. They provide information that is culturally relevant and linguistically accessible for Iranian citizens, particularly in regions where other languages may dominate. Therefore, Persian web pages of Iranian museums are vital for promoting cultural heritage, enhancing tourism, facilitating research, engaging communities, and ensuring that the rich history of Iran is preserved and shared with the world. Evaluating the user interface of Persian web pages for Iranian museums is essential for several reasons:
- Cultural Significance: Museums are custodians of culture and heritage. A well-designed interface can effectively represent and communicate cultural values and historical narratives.
- User Experience: A user-friendly interface enhances the visitor experience, making it easier for users to access information about exhibits, events, and educational resources.
- Accessibility: Evaluating the interface helps ensure that it is accessible to a diverse audience, including those with disabilities, ensuring that everyone can engage with the museum’s offerings.
- Information Dissemination: Museums play a crucial role in education. An effective interface helps disseminate information about collections, research, and educational programs efficiently.
- Tourism Promotion:An attractive and functional website can promote tourism, attracting both domestic and international visitors to Iranian museums and cultural sites.
- Technological Advancements: With the rapid development of web technologies, it’s important to regularly evaluate and update interfaces to meet current standards and user expectations.
- Feedback Mechanism: Evaluation can provide insights into user preferences and behaviors, allowing museums to refine their digital strategies and improve overall engagement.
In conclusion, the evaluation of user interfaces is crucial for enhancing the effectiveness and appeal of museum web pages and ensuring that they serve their educational and cultural missions. The present study was carried out with the aim of evaluating the user interface of the Persian web pages of Iranian museums and comparing them with the criteria found in the texts and sources. Evaluating the user interface of museum websites can provide valuable insights for both designers and users. Present Findings Illustrate the strengths and weaknesses of the current websites. Provides practical suggestions for improvement. This approach not only highlights the current status but also aims at enhancing the user experience in the future.
Methods and Materoal
The research is of an applied type and it was carried out by a survey method of the type of Heuristic Evaluation. The statistical population of the research includes 10 museum websites under the supervision of the Ministry of Cultural Heritage of Iran which include:
Methods and Materoal
The research is of an applied type and it was carried out by a survey method of the type of Heuristic Evaluation. The statistical population of the research includes 10 museum websites under the supervision of the Ministry of Cultural Heritage of Iran which include:
- Iran Communication Museum: https://www.ict.gov.ir/tour/IranCommunicationMuseum/
- Razavi Museum: https://museum.razavi.ir/
- Malek Museum: http://malekmuseum.org/
- Iran national Museum: https://irannationalmuseum.ir/fa/
- Sa'dabad Museum Complex: http://sadmu.ir/
- Niavaran Museum: http://www.niavaranmu.ir/
- Golestan Museum: http://www.golestanpalace.ir/
- Tehran Museum of Contemporary Art: https://galleryinfo.ir/
- National Museum of the Islamic Revolution and Holy Defense: https://iranrhdm.ir/
- Iranian National Museum of Medical Sciences History: https://museum.tums.ac.ir/
The research tool is the evaluation list based on the criteria found in the texts and sources including 10 main indicators (search, Cohesion, guidance, Show information, Page design, navigation, User interface language, Simplicity, User control, Error correction) and 103 sub-components. Here’s an elaboration on each of the 10 indicators specifically regarding the user interface of Iranian museum websites:
- Searching
- Accessibility: The search bar should be prominently placed, often at the top of the page, to ensure users can easily find it.
- Relevancy: The search results should be accurately related to user queries, featuring filtering options for better refinement (e.g., categories like exhibits, events, or collections).
- Consistency
- Consistent Design: Elements such as fonts, colors, and icons should remain the same across all pages, facilitating an intuitive experience.
- Unified Message: The website should consistently reflect the museum's themes (e.g., art, history) in both content and visual design.
3. Guidance
- Supportive Resources: There should be a dedicated section for user assistance, possibly including FAQs and tips on how to navigate the site.
- Clear Pathways: Guides or prompts should be available to help users navigate complex information or sections, enhancing overall orientation.
4. Presentation
- Effective Communication: Information should be presented in a straightforward manner, avoiding overly complex language.
- Engaging Visuals: The use of high-quality images and multimedia should enhance content comprehension and engagement, making exhibits come alive.
5. Design
- Visual Appeal: The design should authentically reflect the museum’s identity and cultural significance, employing a harmonious color palette and suitable typography.
- Logical Layout: Content should be arranged in a way that follows a natural reading order, ensuring that users can scan and find information quickly.
6. Navigation
- Intuitive Paths: Users should navigate seamlessly through sections, with clear labels for each category.
- Utilization of Breadcrumbs: Breadcrumb navigation helps users understand their current position on the website and easily backtrack if needed.
7. Language
- Cultural Relevance: The language used should resonate with both local users and international visitors, with translations where necessary.
- Clarity and Simplicity: Technical terms should be minimized or clarified to ensure accessibility for all users, including those who may not be experts.
8. Simplicity
- Uncluttered Design: The interface should prioritize essential information and minimize distractions, leading to easier navigation.
- Focus on Key Functions: Critical features like ticket booking or exhibit details should be straightforward and easy to access.
9. User Control
- Customization Options: Users should be able to adjust settings (like text size or language) to fit their preferences.
- Easy Navigation: The site should allow for quick changes between sections without losing previously entered data or context.
10. Error management (recovery)
- User-Friendly Feedback: When an error occurs (like a broken link), users should receive a clear message explaining the issue and offering solutions.
- Recovery Options: Users should have straightforward options to undo actions, such as going back to previous pages or reattempting forms without re-entering all data.
By focusing on these indicators, Iranian museum websites can enhance their usability and create a more engaging experience for visitors, helping to promote cultural heritage effectively.
For each index, a score between 1 and 3 was considered according to the degree of importance, and in this way, the criteria compiled in the list were ranked with 3 degrees of importance. The points obtained by each of the studied museum sites in relation to each of the components were multiplied by the average coefficients obtained (weighted average of the criteria) by the components from the Delphi panel. It should be noted that in this research, the final rank of the following indicators was obtained based on the Delphi panel presented in the doctoral dissertation of Hariri & Norouzi (2011). Data collection was done using the direct observation method, in this way, each of the components of the user interface design evaluation list was examined on the website page under study and the points obtained from it were recorded. Scores were given based on yes, present (1) and no, not present (0). Also, due to the quality of some of the sub-components, it was possible that the studied site did not comply with them equally, or in other words, absolute presence or absence could not be applied to them. Regarding these components, in addition to two levels, i.e. zero and one, 50% of the average score was also used. Wilcoxon signed-rank test and Friedman test were used to analyze the data. Excell, SPSS, Oegin pro Origin lab software were used.
Resultss and Discussion
Indicator: Simplicity with average compliance 100 % , Indicator: Error management (recovery) with average compliance 98.13 %, Indicator: language with average compliance 97.51 %, Indicator: design with average compliance 73.92 %, Indicator: consistency with average compliance 63.03 %, Indicator: Guidance with average compliance 61.22 %,Indicator: presentation with average compliance 50.36 %, Indicator: navigation with average compliance 48.89 %, Indicator: Searching with average compliance 26.83 % and Indicator: User control with average compliance 21.90 %, has been observed by ten museum websites under study respectively. Therefore, The findings showed that among the 10 main indicators, the criteria of simplicity, Error management (recovery) and language scored 100%, 98.13% and 97.51%, respectively. The criteria of User control and Searching had the lowest compliance with the components of the evaluation list with 21.9% and 26.83%, respectively.Among the statistical population. Niavaran Museum site had the highest level of quality compliance with 71.71% . National Museum of the Islamic Revolution and Holy Defense with 68.55%, Iran national Museum with 68.03%, Iranian National Museum of Medical Sciences History with 67.96%, Razavi Museum with 67.7%, Malek Museum with 66.73%, Sa'dabad Museum Complex with 66.73%, Golestan Museum with 66.59%, Tehran Museum of Contemporary Art with 55.27%, Iran Communication Museum with 42.52 were placed in the next positions.Iran Communication Museum had the lowest level of quality compliance with the evaluation list with 42.52%.
Conclusion
Friedman test is one of the famous non-parametric tests that was used to determine the order of importance of the factors mentioned in the research and to rank the sites. In Friedman test, since the answers are interdependent, comparison can be made in terms of rank. For this reason, Friedman test was used to rank the websites of the studied museums in compliance with the criteria. The results of the investigation of the Friedman test showed that Niavaran Museum Website with a graded average 6.65, National Museum of the Islamic Revolution and Holy Defense Website with a graded average 6.5, Iranian National Museum of Medical Sciences History Website with a graded average 6.45, Razavi Museum Website with a graded average 6.35, Iran national Museum Website with a graded average 6.1, Malek Museum Website with a graded average 5.8, Sa'dabad Museum Complex Website with a graded average 5.8, Golestan Museum Website with a graded average 5.75, Tehran Museum of Contemporary Art Website with a graded average 4 and Iran Communication Museum Website with a graded average 1.6 won the first to 10th rank respectively. Results Wilcoxon signed-rank test showed Among the ten indicators of the user interface evaluation list in the studied museum websites, Simplicity Criterion fully complied; Criteria: Guidance, presentation, navigation on average, more than 50% have been observed; criterias: Searching, Consistency, Design, Language, User control, Error management (recovery)on average, less than 50% have been observed. The results of the investigation of the research hypothesis showed that the studied museum sites differ in respect of user interface evaluation indicators, and the websites of the studied museums have acted differently in terms of compliance with the indicators. Therefore, it was concluded that the user interface designers of each of the sites did not have similar approaches. In order to achieve unity and success as much as possible, it is suggested that a working group be formed to share knowledge and skills among the relevant officials of the studied museums, so as to improve the existing situation. The evaluation list presented in the current research can be adapted for other Iranian museum websites and can be considered by the stakeholders as a proposed model of the user interface.
- Unified Message: The website should consistently reflect the museum's themes (e.g., art, history) in both content and visual design.
3. Guidance
- Supportive Resources: There should be a dedicated section for user assistance, possibly including FAQs and tips on how to navigate the site.
- Clear Pathways: Guides or prompts should be available to help users navigate complex information or sections, enhancing overall orientation.
4. Presentation
- Effective Communication: Information should be presented in a straightforward manner, avoiding overly complex language.
- Engaging Visuals: The use of high-quality images and multimedia should enhance content comprehension and engagement, making exhibits come alive.
5. Design
- Visual Appeal: The design should authentically reflect the museum’s identity and cultural significance, employing a harmonious color palette and suitable typography.
- Logical Layout: Content should be arranged in a way that follows a natural reading order, ensuring that users can scan and find information quickly.
6. Navigation
- Intuitive Paths: Users should navigate seamlessly through sections, with clear labels for each category.
- Utilization of Breadcrumbs: Breadcrumb navigation helps users understand their current position on the website and easily backtrack if needed.
7. Language
- Cultural Relevance: The language used should resonate with both local users and international visitors, with translations where necessary.
- Clarity and Simplicity: Technical terms should be minimized or clarified to ensure accessibility for all users, including those who may not be experts.
8. Simplicity
- Uncluttered Design: The interface should prioritize essential information and minimize distractions, leading to easier navigation.
- Focus on Key Functions: Critical features like ticket booking or exhibit details should be straightforward and easy to access.
9. User Control
- Customization Options: Users should be able to adjust settings (like text size or language) to fit their preferences.
- Easy Navigation: The site should allow for quick changes between sections without losing previously entered data or context.
10. Error management (recovery)
- User-Friendly Feedback: When an error occurs (like a broken link), users should receive a clear message explaining the issue and offering solutions.
- Recovery Options: Users should have straightforward options to undo actions, such as going back to previous pages or reattempting forms without re-entering all data.
By focusing on these indicators, Iranian museum websites can enhance their usability and create a more engaging experience for visitors, helping to promote cultural heritage effectively.
For each index, a score between 1 and 3 was considered according to the degree of importance, and in this way, the criteria compiled in the list were ranked with 3 degrees of importance. The points obtained by each of the studied museum sites in relation to each of the components were multiplied by the average coefficients obtained (weighted average of the criteria) by the components from the Delphi panel. It should be noted that in this research, the final rank of the following indicators was obtained based on the Delphi panel presented in the doctoral dissertation of Hariri & Norouzi (2011). Data collection was done using the direct observation method, in this way, each of the components of the user interface design evaluation list was examined on the website page under study and the points obtained from it were recorded. Scores were given based on yes, present (1) and no, not present (0). Also, due to the quality of some of the sub-components, it was possible that the studied site did not comply with them equally, or in other words, absolute presence or absence could not be applied to them. Regarding these components, in addition to two levels, i.e. zero and one, 50% of the average score was also used. Wilcoxon signed-rank test and Friedman test were used to analyze the data. Excell, SPSS, Oegin pro Origin lab software were used.
Resultss and Discussion
Indicator: Simplicity with average compliance 100 % , Indicator: Error management (recovery) with average compliance 98.13 %, Indicator: language with average compliance 97.51 %, Indicator: design with average compliance 73.92 %, Indicator: consistency with average compliance 63.03 %, Indicator: Guidance with average compliance 61.22 %,Indicator: presentation with average compliance 50.36 %, Indicator: navigation with average compliance 48.89 %, Indicator: Searching with average compliance 26.83 % and Indicator: User control with average compliance 21.90 %, has been observed by ten museum websites under study respectively. Therefore, The findings showed that among the 10 main indicators, the criteria of simplicity, Error management (recovery) and language scored 100%, 98.13% and 97.51%, respectively. The criteria of User control and Searching had the lowest compliance with the components of the evaluation list with 21.9% and 26.83%, respectively.Among the statistical population. Niavaran Museum site had the highest level of quality compliance with 71.71% . National Museum of the Islamic Revolution and Holy Defense with 68.55%, Iran national Museum with 68.03%, Iranian National Museum of Medical Sciences History with 67.96%, Razavi Museum with 67.7%, Malek Museum with 66.73%, Sa'dabad Museum Complex with 66.73%, Golestan Museum with 66.59%, Tehran Museum of Contemporary Art with 55.27%, Iran Communication Museum with 42.52 were placed in the next positions.Iran Communication Museum had the lowest level of quality compliance with the evaluation list with 42.52%.
Conclusion
Friedman test is one of the famous non-parametric tests that was used to determine the order of importance of the factors mentioned in the research and to rank the sites. In Friedman test, since the answers are interdependent, comparison can be made in terms of rank. For this reason, Friedman test was used to rank the websites of the studied museums in compliance with the criteria. The results of the investigation of the Friedman test showed that Niavaran Museum Website with a graded average 6.65, National Museum of the Islamic Revolution and Holy Defense Website with a graded average 6.5, Iranian National Museum of Medical Sciences History Website with a graded average 6.45, Razavi Museum Website with a graded average 6.35, Iran national Museum Website with a graded average 6.1, Malek Museum Website with a graded average 5.8, Sa'dabad Museum Complex Website with a graded average 5.8, Golestan Museum Website with a graded average 5.75, Tehran Museum of Contemporary Art Website with a graded average 4 and Iran Communication Museum Website with a graded average 1.6 won the first to 10th rank respectively. Results Wilcoxon signed-rank test showed Among the ten indicators of the user interface evaluation list in the studied museum websites, Simplicity Criterion fully complied; Criteria: Guidance, presentation, navigation on average, more than 50% have been observed; criterias: Searching, Consistency, Design, Language, User control, Error management (recovery)on average, less than 50% have been observed. The results of the investigation of the research hypothesis showed that the studied museum sites differ in respect of user interface evaluation indicators, and the websites of the studied museums have acted differently in terms of compliance with the indicators. Therefore, it was concluded that the user interface designers of each of the sites did not have similar approaches. In order to achieve unity and success as much as possible, it is suggested that a working group be formed to share knowledge and skills among the relevant officials of the studied museums, so as to improve the existing situation. The evaluation list presented in the current research can be adapted for other Iranian museum websites and can be considered by the stakeholders as a proposed model of the user interface.
Afshin Motaghi Destenaei, Ali Karami, Milad Piri Fath Abad,
Volume 11, Issue 2 (9-2024)
Volume 11, Issue 2 (9-2024)
Abstract
Introduction
The idea of creating smart machines and artificial intelligence has been around for centuries and dates back to at least the 14th century. Although the application of artificial intelligence in education is a very new field, but during the last 25 years, artificial intelligence has made achievements in some fields. Which has also affected education of course, criticisms have also been raised against excessive optimism towards contemporary artificial intelligence research. Little research has been done on the expectations of the role of artificial intelligence in education and its potential impact on education. The purpose of this study is to analyze and investigate the role of artificial intelligence in education.
Methods and Materoal
This study was done using SWOT analysis method and its data collection method is also a library
Resultss and Discussion
Text In general, artificial intelligence as a catalyst for teaching and learning with the help of computers is a field with many applications. The teaching of science, technology, engineering and mathematics subjects can be enhanced with artificial intelligence-based software systems. Another potential strength is the potential of AI systems to serve learners across schools, borders, and platforms in creating ecosystems of interactive learning tools. Additionally, AI systems in education may be used to evaluate different learning models throughout the school. Without strong artificial intelligence, tutoring systems cannot provide rapid feedback to learners and enable stimulating interaction. With a realistic view, weak to moderate and strong artificial intelligence have a good ability to support teaching and learning and facilitate the daily work of teachers.
Intelligent learning systems often have less artificial intelligence than expected, especially when it comes to interacting with students. Baker (2016) in a critical position classified many of the existing education systems under stupid education systems. His concept for online learning is to enhance data-driven human intelligence rather than data-driven artificial intelligence. In order to more dynamically use AI in education, there is a need for training data, one of the problems that arise is how to ensure that the data is real and free from bias. As stated by Popenici and Kerr (2017), complex AI algorithms are designed by human programmers who are likely to include their own agendas or biases in the development of the system. An important aspect of high-level machine intelligence is that it customizes learning for each student, but in doing so it intervenes by standardizing content and what is expected of the student.
As reviewed by Lakin et al. (2016), it is hard to see a future where teachers are replaced by artificial intelligence systems or robots. A more positive and realistic scenario is that the role of the teacher evolves and transforms, freeing teachers from tedious daily tasks. In addition, AI in education has the potential to relieve the teacher of the burden of having all the knowledge and information that can be relevant to students. A possible use of artificial intelligence in education in the future is in the form of robots (collaborative robots) that help teachers in their daily work and tailor the learning experience to each student, for example in recording and analyzing the work of these students. And report to the teacher. The use of intelligent learning systems can provide customized instruction or instant feedback to students at any time of the day. But the depth of customization is one of the truly critical features, not superficial and personalized learning. Studies show that developers of intelligent instructional systems have been successful in their goal of adapting and surpassing computer-assisted instruction (CAI) and human teacher training in raising student test scores.
The negative change in the role of the teacher may be caused by the design of stereotypical courses with low-level multiple-choice questions and the use of teachers as content developers. Most school curricula and teacher training programs are not well prepared to take advantage of the benefits of artificial intelligence in education due to not providing artificial intelligence courses to their teachers. If teachers are not trained in the use of artificial intelligence, this can lead to misuse of the technology, for example in protecting privacy and using personal data for influence. According to Nicholas and Holmes (2018), an ethical framework should be established for the use of artificial intelligence in education, and even if adopted, it should be continuously discussed and updated to allow for the capabilities and scope of artificial intelligence and the potential use of reflect it. A growing concern among many education workers is the fear of unemployment as high-level machine intelligence systems completely take over the teaching profession. According to Popenici and Kerr (2017), artificial intelligence currently has the potential to replace a large number of teaching assistants and administrative staff in education, and therefore it is more important to investigate its impact on education. Studies show that widespread use of high-level AI systems may disrupt students' ability to learn independently and develop 21st century skills such as problem solving and critical thinking. Finally, the most severe threat to students may be AI. Surveillance cameras with built-in facial recognition. Along with machine learning, facial recognition is one area where AI is advancing much faster than AI ethics. By using this technology, schools may collect students' biometric information, for example, under the pretext of reducing the many working hours that employees spend on registration and attendance. Support using artificial intelligence systems in education and robotics is certainly an opportunity, but social robots are still in their infancy and have limited social skills. In the near future, a realistic opportunity lies in the development of robots that can provide personalized content and rapid feedback. As in the manufacturing industry, teachers will soon be able to reprogram the cobots using block programming code that doesn't require advanced programming skills. Of course, there are also threats, and for purely economic reasons, we will probably experience cases where teachers are replaced by artificial intelligence solutions in education. Universities with financial problems may be tempted to try solutions, such as Deakin University in Australia, which offers a service where any student who asks can expect tailored information and advice. However, since the common concern is how to submit assignments and how to pay for parking, such systems pose a threat to administrative staff rather than teachers. Finally, as with AI in general, ethics is a major and immediate challenge in the use of AI in education, even though the threats posed by AI in education may not be as dramatic as in other AI areas. Automatic will not be useful. Quality teaching is a complex and creative profession involving improvisation and spontaneity where humans are not easily replaced. In general evaluation, it can be said that there are many ways that artificial intelligence can help students. From identifying signs of effort to creating a more interactive and personalized learning program.
Here are four ways that artificial intelligence can have a positive impact on student learning; Personalized learning: The ability to respond to personalized learning needs is one of the most positive benefits of artificial intelligence in education. Artificial intelligence technology can easily adapt to different learning styles. AI technology can analyze students' past performance and create tailored curricula and settings based on past performance. When it comes to personalized learning, AI can also point students in the right direction for resources and other useful data and information. Artificial intelligence has the ability to provide personalized study plans for students without having to wait for interventions from learning professionals. All while meeting the overall goal of making learning easier and helping students engage with content more effectively. Ultimately, where AI really helps personalized learning is in its ability to reach students on a massive scale. With overcrowded classrooms at the elementary school level and classrooms of hundreds at the secondary level, AI can help personalize education for all students at once, making it easier for everyone to succeed. Tutoring: Sometimes students need extra help, and AI allows you to access on-demand tutoring without an in-person or live tutoring session. Because the AI uses algorithms to adapt, it can quickly change to cover the areas where students need the most support. Just like a human tutor who adapts to a student's learning style and ability to absorb information, AI tutoring systems are very useful in their ability to focus on improving and deepening student learning as a whole. The main advantage of AI-based tutoring technology is the ability to help students understand complex concepts and terms on a mass level. Finally, with artificial intelligence, access to tutoring is no longer limited to those who can afford it. In addition, instructors can spend less time helping those who do not understand the concepts. Assessment and grading: A large part of teachers' time is spent grading assignments. Artificial intelligence technology can help speed up this process. Additionally, when it comes to grading assignments, AI technology can help analyze and get feedback from students on things like grammar, content, and vocabulary. By removing this part of teachers' duties, they can focus on other aspects of teaching that are more important, such as lesson planning and student engagement. Finally, one of the biggest benefits of automated assessment is that it eliminates human error, biases, and mistakes. It can also give each student an outline of where they went wrong and how they can improve, without taking up extra time from teachers. Improving student interaction: Artificial intelligence can engage students in educational content and make learning more interesting. One of the ways that educators and teachers can incorporate artificial intelligence into the classroom is through the use of catboats. The ability of catboats to personalize and adapt to students' learning styles creates more opportunities to keep students engaged, and the fact that catboats can be accessed anytime or anywhere means that students they can work at their own pace and continue their learning outside of traditional classroom time. The fact that AI improves engagement is exciting for course planners and administrators. This means they can deliver highly personalized and interactive learning in their courses, regardless of the subject, helping to amplify the impact on people's lives. Discussed how artificial intelligence can be useful for students. In addition there is great potential impact on coaches and teachers – particularly in ways it can save time.
The three advantages of artificial intelligence in education for teachers are: 1- Predictive analysis an interesting and emerging area of artificial intelligence in education is prediction. AI can analyze data and predict which students might fall behind due to the educational gap. Predictive analytics is exciting for educators because it means students struggling with learning challenges can be identified earlier and given the tools they need to succeed. Additionally, early intervention means that students who otherwise fail or struggle might have the opportunity to become successful students by giving them the right tools to help them succeed. 2-Advanced educational methods one of the methods of using artificial intelligence in education is to improve teaching methods. Today, due to the vast amount of content and information, teachers often have little time to organize alternative learning methods without spending more than hours of classroom time. Using artificial intelligence technology, teachers have the ability to quickly put together games and simulations that help students practice and learn the lessons being taught without spending more time on lesson planning. It saves a lot of time for teachers. 3- Facilitating evaluations and grading if you ask any teacher, they will tell you that assessment is one of the most time-consuming parts of the job. One of the exciting areas of artificial intelligence in education is the use of artificial intelligence technology to improve and speed up the assessment and grading process. For example, assessments can be done in real time instead of lengthy home marking. This not only saves time for teachers, but also improves students' understanding of the material in the moment.
Conclusion
The research findings show that there are both opportunities and threats regarding the role of artificial intelligence in contemporary education. In many ways, AI appears to have a promotional mode. But like other areas of advertising, it has the potential to grow with specific applications in educational and learning activities. The results of the research show that the awareness of artificial intelligence and the study of the role of artificial intelligence in education will reduce the risk of substituting artificial intelligence instead of using artificial intelligence in education
The idea of creating smart machines and artificial intelligence has been around for centuries and dates back to at least the 14th century. Although the application of artificial intelligence in education is a very new field, but during the last 25 years, artificial intelligence has made achievements in some fields. Which has also affected education of course, criticisms have also been raised against excessive optimism towards contemporary artificial intelligence research. Little research has been done on the expectations of the role of artificial intelligence in education and its potential impact on education. The purpose of this study is to analyze and investigate the role of artificial intelligence in education.
Methods and Materoal
This study was done using SWOT analysis method and its data collection method is also a library
Resultss and Discussion
Text In general, artificial intelligence as a catalyst for teaching and learning with the help of computers is a field with many applications. The teaching of science, technology, engineering and mathematics subjects can be enhanced with artificial intelligence-based software systems. Another potential strength is the potential of AI systems to serve learners across schools, borders, and platforms in creating ecosystems of interactive learning tools. Additionally, AI systems in education may be used to evaluate different learning models throughout the school. Without strong artificial intelligence, tutoring systems cannot provide rapid feedback to learners and enable stimulating interaction. With a realistic view, weak to moderate and strong artificial intelligence have a good ability to support teaching and learning and facilitate the daily work of teachers.
Intelligent learning systems often have less artificial intelligence than expected, especially when it comes to interacting with students. Baker (2016) in a critical position classified many of the existing education systems under stupid education systems. His concept for online learning is to enhance data-driven human intelligence rather than data-driven artificial intelligence. In order to more dynamically use AI in education, there is a need for training data, one of the problems that arise is how to ensure that the data is real and free from bias. As stated by Popenici and Kerr (2017), complex AI algorithms are designed by human programmers who are likely to include their own agendas or biases in the development of the system. An important aspect of high-level machine intelligence is that it customizes learning for each student, but in doing so it intervenes by standardizing content and what is expected of the student.
As reviewed by Lakin et al. (2016), it is hard to see a future where teachers are replaced by artificial intelligence systems or robots. A more positive and realistic scenario is that the role of the teacher evolves and transforms, freeing teachers from tedious daily tasks. In addition, AI in education has the potential to relieve the teacher of the burden of having all the knowledge and information that can be relevant to students. A possible use of artificial intelligence in education in the future is in the form of robots (collaborative robots) that help teachers in their daily work and tailor the learning experience to each student, for example in recording and analyzing the work of these students. And report to the teacher. The use of intelligent learning systems can provide customized instruction or instant feedback to students at any time of the day. But the depth of customization is one of the truly critical features, not superficial and personalized learning. Studies show that developers of intelligent instructional systems have been successful in their goal of adapting and surpassing computer-assisted instruction (CAI) and human teacher training in raising student test scores.
The negative change in the role of the teacher may be caused by the design of stereotypical courses with low-level multiple-choice questions and the use of teachers as content developers. Most school curricula and teacher training programs are not well prepared to take advantage of the benefits of artificial intelligence in education due to not providing artificial intelligence courses to their teachers. If teachers are not trained in the use of artificial intelligence, this can lead to misuse of the technology, for example in protecting privacy and using personal data for influence. According to Nicholas and Holmes (2018), an ethical framework should be established for the use of artificial intelligence in education, and even if adopted, it should be continuously discussed and updated to allow for the capabilities and scope of artificial intelligence and the potential use of reflect it. A growing concern among many education workers is the fear of unemployment as high-level machine intelligence systems completely take over the teaching profession. According to Popenici and Kerr (2017), artificial intelligence currently has the potential to replace a large number of teaching assistants and administrative staff in education, and therefore it is more important to investigate its impact on education. Studies show that widespread use of high-level AI systems may disrupt students' ability to learn independently and develop 21st century skills such as problem solving and critical thinking. Finally, the most severe threat to students may be AI. Surveillance cameras with built-in facial recognition. Along with machine learning, facial recognition is one area where AI is advancing much faster than AI ethics. By using this technology, schools may collect students' biometric information, for example, under the pretext of reducing the many working hours that employees spend on registration and attendance. Support using artificial intelligence systems in education and robotics is certainly an opportunity, but social robots are still in their infancy and have limited social skills. In the near future, a realistic opportunity lies in the development of robots that can provide personalized content and rapid feedback. As in the manufacturing industry, teachers will soon be able to reprogram the cobots using block programming code that doesn't require advanced programming skills. Of course, there are also threats, and for purely economic reasons, we will probably experience cases where teachers are replaced by artificial intelligence solutions in education. Universities with financial problems may be tempted to try solutions, such as Deakin University in Australia, which offers a service where any student who asks can expect tailored information and advice. However, since the common concern is how to submit assignments and how to pay for parking, such systems pose a threat to administrative staff rather than teachers. Finally, as with AI in general, ethics is a major and immediate challenge in the use of AI in education, even though the threats posed by AI in education may not be as dramatic as in other AI areas. Automatic will not be useful. Quality teaching is a complex and creative profession involving improvisation and spontaneity where humans are not easily replaced. In general evaluation, it can be said that there are many ways that artificial intelligence can help students. From identifying signs of effort to creating a more interactive and personalized learning program.
Here are four ways that artificial intelligence can have a positive impact on student learning; Personalized learning: The ability to respond to personalized learning needs is one of the most positive benefits of artificial intelligence in education. Artificial intelligence technology can easily adapt to different learning styles. AI technology can analyze students' past performance and create tailored curricula and settings based on past performance. When it comes to personalized learning, AI can also point students in the right direction for resources and other useful data and information. Artificial intelligence has the ability to provide personalized study plans for students without having to wait for interventions from learning professionals. All while meeting the overall goal of making learning easier and helping students engage with content more effectively. Ultimately, where AI really helps personalized learning is in its ability to reach students on a massive scale. With overcrowded classrooms at the elementary school level and classrooms of hundreds at the secondary level, AI can help personalize education for all students at once, making it easier for everyone to succeed. Tutoring: Sometimes students need extra help, and AI allows you to access on-demand tutoring without an in-person or live tutoring session. Because the AI uses algorithms to adapt, it can quickly change to cover the areas where students need the most support. Just like a human tutor who adapts to a student's learning style and ability to absorb information, AI tutoring systems are very useful in their ability to focus on improving and deepening student learning as a whole. The main advantage of AI-based tutoring technology is the ability to help students understand complex concepts and terms on a mass level. Finally, with artificial intelligence, access to tutoring is no longer limited to those who can afford it. In addition, instructors can spend less time helping those who do not understand the concepts. Assessment and grading: A large part of teachers' time is spent grading assignments. Artificial intelligence technology can help speed up this process. Additionally, when it comes to grading assignments, AI technology can help analyze and get feedback from students on things like grammar, content, and vocabulary. By removing this part of teachers' duties, they can focus on other aspects of teaching that are more important, such as lesson planning and student engagement. Finally, one of the biggest benefits of automated assessment is that it eliminates human error, biases, and mistakes. It can also give each student an outline of where they went wrong and how they can improve, without taking up extra time from teachers. Improving student interaction: Artificial intelligence can engage students in educational content and make learning more interesting. One of the ways that educators and teachers can incorporate artificial intelligence into the classroom is through the use of catboats. The ability of catboats to personalize and adapt to students' learning styles creates more opportunities to keep students engaged, and the fact that catboats can be accessed anytime or anywhere means that students they can work at their own pace and continue their learning outside of traditional classroom time. The fact that AI improves engagement is exciting for course planners and administrators. This means they can deliver highly personalized and interactive learning in their courses, regardless of the subject, helping to amplify the impact on people's lives. Discussed how artificial intelligence can be useful for students. In addition there is great potential impact on coaches and teachers – particularly in ways it can save time.
The three advantages of artificial intelligence in education for teachers are: 1- Predictive analysis an interesting and emerging area of artificial intelligence in education is prediction. AI can analyze data and predict which students might fall behind due to the educational gap. Predictive analytics is exciting for educators because it means students struggling with learning challenges can be identified earlier and given the tools they need to succeed. Additionally, early intervention means that students who otherwise fail or struggle might have the opportunity to become successful students by giving them the right tools to help them succeed. 2-Advanced educational methods one of the methods of using artificial intelligence in education is to improve teaching methods. Today, due to the vast amount of content and information, teachers often have little time to organize alternative learning methods without spending more than hours of classroom time. Using artificial intelligence technology, teachers have the ability to quickly put together games and simulations that help students practice and learn the lessons being taught without spending more time on lesson planning. It saves a lot of time for teachers. 3- Facilitating evaluations and grading if you ask any teacher, they will tell you that assessment is one of the most time-consuming parts of the job. One of the exciting areas of artificial intelligence in education is the use of artificial intelligence technology to improve and speed up the assessment and grading process. For example, assessments can be done in real time instead of lengthy home marking. This not only saves time for teachers, but also improves students' understanding of the material in the moment.
Conclusion
The research findings show that there are both opportunities and threats regarding the role of artificial intelligence in contemporary education. In many ways, AI appears to have a promotional mode. But like other areas of advertising, it has the potential to grow with specific applications in educational and learning activities. The results of the research show that the awareness of artificial intelligence and the study of the role of artificial intelligence in education will reduce the risk of substituting artificial intelligence instead of using artificial intelligence in education
Mahdi Akbari Golzar, Dr Ahmad Naderi,
Volume 11, Issue 2 (9-2024)
Volume 11, Issue 2 (9-2024)
Abstract
Introduction
Blockchain technology was first introduced in 2008 as a peer-to-peer electronic payment system. This technology has since attracted widespread attention in the field of scientific research as well as industry. Blockchain has been examined from various aspects. For example, a body of research examines how blockchain's decentralized approach could completely disrupt current business models, financial systems, organizations, and civil governance. Arguably, the clearest evidence of the growth and pervasiveness of this technology is the combined blockchain market capitalization reaching more than 2.6 trillion cryptocurrencies in 2024. In addition, development activity has been steadily growing over the past decade, and numerous projects have been launched to improve the core design of the blockchain (Bitcoin) (such as Ethereum, Kava, and Solana blockchains, etc.). Several articles have systematically reviewed the studies conducted in the field of blockchain in the country using the meta-combination method, all of which focus on the review of foreign articles. Due to the growth and widespread use of blockchain technology in the country and the increase in the scope of domestic research related to it, a systematic review of the research conducted inside the country also seemed necessary. In this regard, the aim of this article is to systematically review internal articles in the blockchain field, focusing on the human-computer interaction (HCI) field of study.
Methods and Materoal
In this research, we have used the qualitative meta-method for a systematic review of blockchain research. A systematic review is a method of identifying, evaluating, and interpreting past research related to a research question, topic area, or phenomenon of interest. The focus of this review is to summarize the HCI literature on blockchain technology. We organized this literature review in four comprehensive steps, following the PRISMA systematic review protocol.
Resultss and Discussion
We found that the articles in our sample adopted one of the following two perspectives. They conducted their research either on blockchain technology (74 articles, 66%) or specifically on cryptocurrencies (37 articles, 34%). Articles related to blockchain technology mainly discuss the understanding of users' motivation, perceived risks and the application of this technology, and articles related to cryptocurrencies also deal more with the jurisprudential and legal aspects of cryptocurrencies and the analysis of transaction risks and user experience. Most empirical studies that deal with people evolve around cryptocurrency, while contributions to blockchain often lead to products or evaluations of financial and administrative systems.
After providing an overview of blockchain research in the HCI community, we present and discuss the salient themes that emerged from the literature review. We identified 4 main themes:
Blockchain technology was first introduced in 2008 as a peer-to-peer electronic payment system. This technology has since attracted widespread attention in the field of scientific research as well as industry. Blockchain has been examined from various aspects. For example, a body of research examines how blockchain's decentralized approach could completely disrupt current business models, financial systems, organizations, and civil governance. Arguably, the clearest evidence of the growth and pervasiveness of this technology is the combined blockchain market capitalization reaching more than 2.6 trillion cryptocurrencies in 2024. In addition, development activity has been steadily growing over the past decade, and numerous projects have been launched to improve the core design of the blockchain (Bitcoin) (such as Ethereum, Kava, and Solana blockchains, etc.). Several articles have systematically reviewed the studies conducted in the field of blockchain in the country using the meta-combination method, all of which focus on the review of foreign articles. Due to the growth and widespread use of blockchain technology in the country and the increase in the scope of domestic research related to it, a systematic review of the research conducted inside the country also seemed necessary. In this regard, the aim of this article is to systematically review internal articles in the blockchain field, focusing on the human-computer interaction (HCI) field of study.
Methods and Materoal
In this research, we have used the qualitative meta-method for a systematic review of blockchain research. A systematic review is a method of identifying, evaluating, and interpreting past research related to a research question, topic area, or phenomenon of interest. The focus of this review is to summarize the HCI literature on blockchain technology. We organized this literature review in four comprehensive steps, following the PRISMA systematic review protocol.
Resultss and Discussion
We found that the articles in our sample adopted one of the following two perspectives. They conducted their research either on blockchain technology (74 articles, 66%) or specifically on cryptocurrencies (37 articles, 34%). Articles related to blockchain technology mainly discuss the understanding of users' motivation, perceived risks and the application of this technology, and articles related to cryptocurrencies also deal more with the jurisprudential and legal aspects of cryptocurrencies and the analysis of transaction risks and user experience. Most empirical studies that deal with people evolve around cryptocurrency, while contributions to blockchain often lead to products or evaluations of financial and administrative systems.
After providing an overview of blockchain research in the HCI community, we present and discuss the salient themes that emerged from the literature review. We identified 4 main themes:
- Decentralized economy and smart contracts (13 articles, 12%)
- Users' understanding and participation of blockchain technology and cryptocurrencies (48 articles, 43%)
- Application of blockchain technology in a specific field (34 articles, 31%)
- Jurisprudence and legal issues around blockchain and cryptocurrencies (16 articles, 14%).
Conclusion
After completing the systematic review of domestic articles, the most interesting point for us is the difference between domestic articles and international topics. As mentioned in some parts of the article, there are three general interests in the international research space that are less observed in domestic research. The first is issues related to the concept of trust in blockchain technologies. The second is the issues related to technical infrastructure and generally the way of socio-technical interactions in society, and the third is related to blockchain-based micro-projects such as Ethereum, Kava, Solana, etc., which are not considered in Iran.
The blockchain ecosystem has experienced rapid growth over the past decade. While until recently, Ethereum was the only widely used blockchain platform supporting decentralized applications, today several new blockchains (such as Solana, Kava, Polkadot, Terra, etc.) have been launched for decentralized applications. Many believe that this new generation of blockchains, which now offer instant transactions with low transaction fees, promises the third generation of the web. Web 1.0 allowed users to read (consume) content on the Internet. Web 2.0 added authoring options and the ability to generate content, thereby enabling rich interactive Internet applications. Powered by blockchain, Web 3.0 now adds the ability to own, create, and distribute digital assets. The first signs of this paradigm shift are the emergence of decentralized finance (DeFi) and non-fungible tokens (NFT), which so far account for more than two-thirds of transactions on the Ethereum blockchain and are driving user adoption of Ethereum. These topics and developments are being noticed by researchers all over the world, but we did not find any study in these fields inside the country. This issue is particularly important from the aspect that Web 3.0 challenges human interaction and cooperation on the Internet and, in a sense, mixes the human and technological space together.The need to pay attention to these research fields as well as the acceptance of interdisciplinary studies (specifically socio-technical studies) should be taken into account in order to open a gate for understanding the fast-paced global technological developments in the space of social studies and a field for presenting theories. To provide a new society in accordance with the socio-cultural context of Iranian society.
After completing the systematic review of domestic articles, the most interesting point for us is the difference between domestic articles and international topics. As mentioned in some parts of the article, there are three general interests in the international research space that are less observed in domestic research. The first is issues related to the concept of trust in blockchain technologies. The second is the issues related to technical infrastructure and generally the way of socio-technical interactions in society, and the third is related to blockchain-based micro-projects such as Ethereum, Kava, Solana, etc., which are not considered in Iran.
The blockchain ecosystem has experienced rapid growth over the past decade. While until recently, Ethereum was the only widely used blockchain platform supporting decentralized applications, today several new blockchains (such as Solana, Kava, Polkadot, Terra, etc.) have been launched for decentralized applications. Many believe that this new generation of blockchains, which now offer instant transactions with low transaction fees, promises the third generation of the web. Web 1.0 allowed users to read (consume) content on the Internet. Web 2.0 added authoring options and the ability to generate content, thereby enabling rich interactive Internet applications. Powered by blockchain, Web 3.0 now adds the ability to own, create, and distribute digital assets. The first signs of this paradigm shift are the emergence of decentralized finance (DeFi) and non-fungible tokens (NFT), which so far account for more than two-thirds of transactions on the Ethereum blockchain and are driving user adoption of Ethereum. These topics and developments are being noticed by researchers all over the world, but we did not find any study in these fields inside the country. This issue is particularly important from the aspect that Web 3.0 challenges human interaction and cooperation on the Internet and, in a sense, mixes the human and technological space together.The need to pay attention to these research fields as well as the acceptance of interdisciplinary studies (specifically socio-technical studies) should be taken into account in order to open a gate for understanding the fast-paced global technological developments in the space of social studies and a field for presenting theories. To provide a new society in accordance with the socio-cultural context of Iranian society.
Hourieh Aarabi Moghaddam, Dr. Alireza Motameni, Dr. Ali Otarkhani,
Volume 11, Issue 2 (9-2024)
Volume 11, Issue 2 (9-2024)
Abstract
Introduction
Governance has always been a key focus throughout history across various levels of authority. The rise and expansion of the financial technology (Fintech) industry have introduced new and diverse challenges for policymakers, highlighting the growing need for an appropriate governance framework. Current global studies on Fintech governance primarily focus on the business and organizational levels, and limited research has been conducted on this topic in Iran. On a macro level, only a few studies have explored the governance of Fintech beyond the enterprise level, although it is seen as a growing field. Therefore, the need for macro-level governance in Fintech is evident both globally and in Iran. This study aims to address the question: What are the governance dimensions and components applicable to the Fintech industry? Based on this, the research seeks to develop a comprehensive framework for governance in Fintech.
Methods and Materoal
This research follows a mixed-methods approach. In the qualitative phase, key terms such as governance, Fintech, and Fintech governance were selected as the foundation for reviewing previous studies. Using meta-synthesis and content analysis, various topics related to governance and Fintech governance were collected and categorized. Data were gathered from the Scopus and Science Direct databases, and studies were filtered based on the relevance of their titles, abstracts, methodologies, and findings. A total of 28 articles were selected for meta-synthesis, and content analysis was conducted to identify governance components relevant to the Fintech industry. Some studies directly addressed governance components applicable to Fintech, while others discussed challenges within Fintech that require governance. Both aspects were incorporated into the proposed framework, leading to an initial framework of governance components for Fintech.
In the quantitative phase, the identified components were validated using the fuzzy Delphi method and potential correlations among them were explored through exploratory factor analysis (EFA). The fuzzy Delphi method was conducted using Excel with input from 15 experts, while EFA was performed using SPSS with data from 217 experts. These experts held advanced degrees in fields such as industrial management, IT management, strategic management, and public administration, with at least five years of experience in governance or Fintech management. Their insights were collected via a standardized questionnaire and analyzed accordingly. Ultimately, the final framework, comprising validated dimensions and components for Fintech governance, was presented.
Resultss
The meta-synthesis of articles on governance, Fintech, and Fintech governance identified seven components: policymaking, foresight, facilitation, regulation, infrastructure development, monitoring, and evaluation. Expert opinions on these seven governance components, as well as on Fintech and Fintech governance, were collected through a standardized fuzzy Delphi questionnaire. Standard fuzzy Delphi calculations were then applied, and the fuzzy values for each component were determined. After fuzzification, a defuzzification process was conducted to convert fuzzy values into definitive ones. The final definitive values for each component were calculated as follows: policymaking (0.82), foresight (0.71), facilitation (0.79), regulation (0.81), infrastructure development (0.71), monitoring (0.77), and evaluation (0.76). According to the fuzzy Delphi method, the acceptable definitive value for each component is 0.7, indicating that all components meet the acceptable threshold, thereby confirming all seven components.
After confirming the components, it was necessary to examine whether any latent internal correlations existed between them, allowing for their reduction into broader factors. To this end, the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett's test of sphericity were applied to the components based on expert opinions. The KMO value was found to be 0.787, indicating that the components could be reduced to a number of underlying factors and that the sample size was sufficient. Additionally, Bartlett's test showed good correlations among the components within each factor.
To ensure the accuracy of the component categorization, the dimensions were first identified, and each dimension was then named according to the nature of the variables within it. The variance for each component was calculated, and the total variance explained by the extracted dimensions after rotation was determined. These values, known as eigenvalues, indicate the factors that remain in the analysis and the dimensions that can be extracted. Three factors, in total, accounted for 47.7% of the variance across all variables. These three dimensions were named regulation, strategy, and provision. According to Table 1, the components of monitoring and evaluation fell under the "regulation" dimension, the components of policymaking and foresight were grouped under the "strategy" dimension, and the components of facilitation, infrastructure development, and regulation were placed under the "provision" dimension.
Table (1). Rotated Factor Matrix
Governance has always been a key focus throughout history across various levels of authority. The rise and expansion of the financial technology (Fintech) industry have introduced new and diverse challenges for policymakers, highlighting the growing need for an appropriate governance framework. Current global studies on Fintech governance primarily focus on the business and organizational levels, and limited research has been conducted on this topic in Iran. On a macro level, only a few studies have explored the governance of Fintech beyond the enterprise level, although it is seen as a growing field. Therefore, the need for macro-level governance in Fintech is evident both globally and in Iran. This study aims to address the question: What are the governance dimensions and components applicable to the Fintech industry? Based on this, the research seeks to develop a comprehensive framework for governance in Fintech.
Methods and Materoal
This research follows a mixed-methods approach. In the qualitative phase, key terms such as governance, Fintech, and Fintech governance were selected as the foundation for reviewing previous studies. Using meta-synthesis and content analysis, various topics related to governance and Fintech governance were collected and categorized. Data were gathered from the Scopus and Science Direct databases, and studies were filtered based on the relevance of their titles, abstracts, methodologies, and findings. A total of 28 articles were selected for meta-synthesis, and content analysis was conducted to identify governance components relevant to the Fintech industry. Some studies directly addressed governance components applicable to Fintech, while others discussed challenges within Fintech that require governance. Both aspects were incorporated into the proposed framework, leading to an initial framework of governance components for Fintech.
In the quantitative phase, the identified components were validated using the fuzzy Delphi method and potential correlations among them were explored through exploratory factor analysis (EFA). The fuzzy Delphi method was conducted using Excel with input from 15 experts, while EFA was performed using SPSS with data from 217 experts. These experts held advanced degrees in fields such as industrial management, IT management, strategic management, and public administration, with at least five years of experience in governance or Fintech management. Their insights were collected via a standardized questionnaire and analyzed accordingly. Ultimately, the final framework, comprising validated dimensions and components for Fintech governance, was presented.
Resultss
The meta-synthesis of articles on governance, Fintech, and Fintech governance identified seven components: policymaking, foresight, facilitation, regulation, infrastructure development, monitoring, and evaluation. Expert opinions on these seven governance components, as well as on Fintech and Fintech governance, were collected through a standardized fuzzy Delphi questionnaire. Standard fuzzy Delphi calculations were then applied, and the fuzzy values for each component were determined. After fuzzification, a defuzzification process was conducted to convert fuzzy values into definitive ones. The final definitive values for each component were calculated as follows: policymaking (0.82), foresight (0.71), facilitation (0.79), regulation (0.81), infrastructure development (0.71), monitoring (0.77), and evaluation (0.76). According to the fuzzy Delphi method, the acceptable definitive value for each component is 0.7, indicating that all components meet the acceptable threshold, thereby confirming all seven components.
After confirming the components, it was necessary to examine whether any latent internal correlations existed between them, allowing for their reduction into broader factors. To this end, the Kaiser-Meyer-Olkin (KMO) measure of sampling adequacy and Bartlett's test of sphericity were applied to the components based on expert opinions. The KMO value was found to be 0.787, indicating that the components could be reduced to a number of underlying factors and that the sample size was sufficient. Additionally, Bartlett's test showed good correlations among the components within each factor.
To ensure the accuracy of the component categorization, the dimensions were first identified, and each dimension was then named according to the nature of the variables within it. The variance for each component was calculated, and the total variance explained by the extracted dimensions after rotation was determined. These values, known as eigenvalues, indicate the factors that remain in the analysis and the dimensions that can be extracted. Three factors, in total, accounted for 47.7% of the variance across all variables. These three dimensions were named regulation, strategy, and provision. According to Table 1, the components of monitoring and evaluation fell under the "regulation" dimension, the components of policymaking and foresight were grouped under the "strategy" dimension, and the components of facilitation, infrastructure development, and regulation were placed under the "provision" dimension.
Table (1). Rotated Factor Matrix
| Factor (Dimension) | Component | Dimension Name | ||
| 3 | 2 | 1 | ||
| 0.631 | Monitoring | Regulation | ||
| 0.715 | Evaluation | |||
| 0.548 | Policymaking | Strategy | ||
| 0.720 | Foresight | |||
| 0.637 | Facilitation | Provision | ||
| 0.672 | Infrastructure | |||
| 0.437 | Regulation | |||
The consolidation of these dimensions and components of governance for Fintech forms the final framework that this research aims to achieve.
Conclusion and Recommendations
In governance, some tasks are fundamental, while others are specific to the needs of the Fintech industry and must be governed. The integration of these two approaches forms the proposed governance framework. Current discussions on Fintech governance mainly focus on the organizational and business levels, with limited recent research, both in Iran and globally, addressing macro-level governance for Fintech. According to Rostoy (2019), the unique challenges and issues introduced by Fintech require a new form of governance, which strengthens the foundation of this study.
By compiling and summarizing governance components and key issues for Fintech governance, seven components were identified: foresight, policymaking (Taati et al., 2021; Payandeh & Afghahi, 2023), facilitation, regulation (Sharifzadeh & Gholipour, 2003), infrastructure development (Rostoy, 2019), monitoring, and evaluation (Abrahams, 2015). After validating these components, latent correlations between them were identified, resulting in three dimensions: strategy, provision, and regulation. The strategy dimension includes foresight and policymaking, the provision dimension includes facilitation, infrastructure development, and regulation, and the regulation dimension covers monitoring and evaluation. These three dimensions form a cyclical and iterative process, with governance beginning with strategy as its foundation.
Strategic foresight and policymaking are critical to starting the governance process. Policymakers and decision-makers at the national level must implement governance through strategic planning and foresight. The consideration of macro trends and the Fintech industry’s outlook is crucial for governance under the foresight component. Policymaking involves the development of national and sectoral strategies and policies that, together with foresight, form the strategic governance process.
The provision aspect focuses on preparing the governing authorities to foster and support the growth of the Fintech industry. This includes measures such as facilitation, infrastructure development, and regulation. Facilitation, for instance, can be implemented both through soft measures (like legislation) and hard measures (such as platform and system development). The governing body, as the supreme authority, is well-positioned to oversee critical national issues like the economy and national security, thus possessing both the legal and technical power to facilitate Fintech growth. Governance is also evolving toward greater regulation, which is highly relevant and applicable to the Fintech industry.
Finally, in the last phase of the governance cycle, regulation occurs through monitoring and evaluation. To fulfill its duties towards the public good and oversee the performance of Fintech companies, the governing body must monitor the industry and evaluate its performance to ensure accountability and, if necessary, exert control and make corrections. In other words, through regulation, the Fintech industry is held accountable for its performance, and this accountability is achieved through monitoring and evaluation.
Given Iran’s political-economic structure, governance over industries, and the prevailing Islamic laws and regulations, the proposed governance framework for Fintech is applicable to Iran as well. This governance model, with a 360-degree perspective on both the specific challenges of Fintech and the general duties of governance, ensures the alignment of the Fintech industry with Iran’s macroeconomic policies. Furthermore, collaboration and synergy between the Fintech industry and the governing authorities will lead to the growth and development of the sector while ensuring the protection of public interests and citizens' rights. As such, all three pillars of governance, as outlined by Graham et al. (2003), will be balanced: the governing body fulfills its responsibilities toward society, the industry achieves its desired growth, and society benefits from the industry's advancements while safeguarding its rights.
Recommendations for the use and further development of this governance framework are as follows. First, national-level policymakers should expand the seven governance components identified in this study and apply them in accordance with their duties and responsibilities to govern the Fintech industry. Second, clarity in definitions and processes related to each component or dimension will be beneficial for both Fintech and the governing body, helping to avoid many challenges and conflicts in practice, which should be addressed by the governing body as needed. Third, while the authors have endeavored to create comprehensive dimensions and components for governance, there is room for the addition of further components and the extraction of new dimensions. Future researchers are encouraged to explore and expand upon these aspects.
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