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Showing 11 results for Subject: General

Dr Alireza Shahraki, Mrs Vajiheh Bahrami,
Volume 0, Issue 0 (5-2022)
Abstract

Background and Purpose: The IoT is recognized as one of the most efficient and pervasive technologies that is constantly evolving. In order to use it effectively, it is necessary to get acquainted with the capabilities of this technology and the importance of each of them. Therefore, this study was conducted with the aim of identifying and ranking the capabilities of the Internet of Things in the industrial sector using multi-criteria decision-making techniques. And quantitative-qualitative research in terms of data analysis.
Materials and methods: In this study, IoT capabilities were identified in three categories of capabilities, benefits and challenges using library resources and Delphi method through a survey of experts. Data collection was done through questionnaires. Expert Choice software was performed.
Findings: The results of data analysis in this study showed that among the three main criteria, obstacles and challenges, advantages and capabilities are the most important, respectively. Also, among the sub-criteria of obstacles and challenges, security and operating system were the most important and compatibility was the least important. Among the sub-criteria of capabilities, artificial intelligence and communication had the highest and sensors the lowest and weighted rank. Also, among the benefits, saving time and reducing costs were the most important, and process improvement was the least important.
Conclusion: The results of this study showed that in order to use technologies such as the Internet of Things in the manufacturing sector, including the industrial sector, in order to use them more effectively and efficiently, it is necessary to identify the capabilities, advantages and obstacles of this technology. By determining the degree of importance and effectiveness of each of these criteria, selecting and prioritizing that aspect of technology for implementation is determined. Therefore, the results of this study, in addition to identifying the capabilities, advantages and obstacles of using this technology, also identified the priority of each criterion in terms of their importance.
 
Abolfazl Asadnia, Ahmad Shabani, Ali Dalaie Milan,
Volume 3, Issue 1 (6-2016)
Abstract

Background and Aim: The aim of this research was to determine the quantity and quality of qualitative studies accomplished by Knowledge and Information Science (KIS) Researchers.

Methods: For this purpose, methodology section of articles published in 13 main Persian Journals in the field of KIS during 2004-2015 had been systematically scrutinized.

Results: Findings showed that:  total of 143 articles had been completed by qualitative methods, indicating unfavorable status of qualitative researches among KIS researchers.   Further, findings showed that mix and Content analysis methods were prevalent methods investigators had used, among the issues examined two publications informing research and academic libraries and library and information science had the highest share in qualitative research publications in KIS. While check list and document analysis were common way of data gathering.

Conclusion: Although the convention of qualitative research in recent years has been of interest to researchers of KIS,  it is still far from preferred objective of focusing on quantitative approaches.  Most focus is on quantitative approach, consequently not incorporating qualitative approaches in KIS studies


Farideh Osareh, Abdolhossein Farajpahlou, Ms Mansoureh Serati Shirazi,
Volume 3, Issue 3 (12-2016)
Abstract

Background and Aim: Due to the importance of scientific relations between university and industry, it is so important to identify the factors that affect these relations. So,the aim of this study is to investigate the effect of spatial proximity on university- industry collaboration. The collaboration indicator which is used here is University- Industry Co-publications.

Methods: The research is done by spatial scientometrics aproach and the university- industry co-publications of Iran in the period 2010-2014 from Science Citation Index Expanded of Web of Science were analyzed. In order to to investigate the effect of spatial proximity the Gravity Model was employed. This model for collaboration implays that co-publication between university and industry depens on their total scientific output  and the geographical distance between them.

Results: the research findings showed the significant effect of spatial proximity on co-publication.

Conclusion. The findings of this research can be used in research policy making in the way that on the one hand, both university and industry benefit from the co-publication advantages by domestic knowledge flow and on the other hand the rsearchers be able to find propr reseach partner who are not co-located with them


Shiva Yari, Rezvan Ojaghi,
Volume 3, Issue 4 (3-2017)
Abstract

Background and aim: An important factor to tendency for read and increase per capita reading is enjoy the reading. Pleasure reading has significant impact on the continuity of reading and lifelong readers. This is very important in Iran due low per capita. It must be understood what factors are influencing and creating of Pleasure reading. Therefore, this study aim is, identify the experiences of Kermanshah public librarians and public libraries’ members about effective factors on Pleasure reading.

Methods: This study was qualitative methodological approach and methodology, subject analysis. Data were collected using in-deep interview. The research participants consisted of 33 people who were public librarians and public libraries’ members of Kermanshah city in 2016. Sampling was done in a systematic method and continued until the saturation of information. Data analysis was done with information gathering in a subject analysis approach.

Result: Analyzing data showed 13 primary codes, 16 sub-themes and 22 themes in 2 basic subjects as internal and external factors. The internal factors included Interest, spontaneity and discretion, the notion of reading, motivations, needs and goals, forehead knowledge, feelings, application review, cognition, communication and relations and links. The external factors as issue of foundations included Family, education, libraries, content creators, content distributors, and media and as issue of the conditions and facilities included Subject matter, time, place, and reading tools.

Conclusion: The results show that Pleasure reading depends on the internal and external factors. So, on one side is individual and on the other side are factors such as family, education, libraries and like this that, both of them, with the coordination and efforts can receive to aim of Pleasure reading.


Mostafa Baghmirani, Mohammad Reza Esmaili Givi, Mohammad Hassanzadeh, Ali Reza Noruzi,
Volume 4, Issue 3 (12-2017)
Abstract

Background and Aim: This study aims to introduce a developed conceptual model of problem finding.
Methods: This article is carried out by utilizing qualitative directed content analysis. The researcher used this method to gather new knowledge on the four features of problem finding. In total, 17 scientific sources were analyzed.
Results: This research revealed 182 codes, 22 themes that outline issues related to the research problem finding. Personality feature extended in five dimensions; psychological  feature extended in four dimensions; thinking feature (creative thinking) extended in six dimensions and (critical thinking) extended in two dimensions; and educational feature extended in five dimensions.
Conclusion: Based on available data, the number of factors identified in this study is greater and more comprehensive than that of any previous research. It could provide an added value to the current researches about problem finding. This study has also developed the previous conceptual model and utilized a directed content analysis method that has never been conducted to date in the field of problem finding.
 
Mohammad Sarvari, Afshin Musavi Chilak, Soraya Ziaee,
Volume 4, Issue 4 (3-2018)
Abstract

Background and Aim: Thinking is an active, purposeful, organized cognitive process which is used to mean the world. Successful thinking will solve the problems that we face with them constantly, make clever decisions, and achieve the goals we determin in our lives. Critical thinking is a process in which we examine our thoughts and opinions, and get a better understanding. Asking, analyzing and meaning are three processes that we examine our own thoughts and others, and, based on that, we make the best decisions that are in the subcategory of critical thinking, and there are several factors that can be applied to it. The purpose of this study was to investigate the effect of emotional intelligence on the critical thinking of librarians in the National Library of Iran.
Methods: 229 librarians from the National Library of Iran were selected by simple random sampling method and included the standard questionnaire of California's Contemporary Thinking Skills (1990) and the emotional intelligence of Nokia and Ayazo (2009).
Results: Data were analyzed by two-variable linear regression and Friedman tests. The results showed that emotional intelligence and its dimensions on the critical thinking of librarians from the National Library of Iran had a significant effect (p<0.01). The results also showed that among the effective dimensions of emotional intelligence, management of relations (with a mean score of = 3.05) in the first rank, self-awareness (with an average rating = 2.79), self-management (with a mean of = 2.12) ranked fourth in the third place and social awareness (with an average rating of = 2.04).
Conclusion: To mprove critical thinking Natioal Library staff require to enhance their emotional intelligence and social awareness factors.
Hosein Khaleghi, Dr Mohamad Lagzian, Dr Shas-O-Din Nazemi, Dr Gholamreza Malekzadeh,
Volume 6, Issue 2 (8-2019)
Abstract

Background and Aim: Fast pace of progress in technology with its transformations has become an elephant in darkness that different people have different perceptions toward that. Since people in organizations behave according to their own perception of reality, exploring and describing perception and interpreting power of technology could be influential in interpersonal communications made among employees. The target of present study is to deeply describe experiences and diverse perceptions of faculty members of a university from power of technology in interpersonal communications in a way to familiarize managers and employees with new and variant attitudes toward technology and its dominance.   
Methods: The research approach is qualitative in this research and is based on phenomenography approach to achieve deep understanding of collective consciousness among those being studied. Participants are thirteen members of faculty selected through maximum variation sampling to achieve theoretical saturation. Six category of descriptions were obtained at individual, organizational, and social levels through analysis of semi-structured interviews.
Results: At the individual level, two perception methods, including the concept based on individual isolation (little emotional relations, distrust) and hypocritical behaviors (variant behaviors and self-monitoring), are formed; and at the organizational level, social networks, monitoring communications (senior authority, dominance of control in organizational relationships), and weakening the role of human are formed; and at the social level, a category consisting the culture of ostentatious behaviors is formed. In continuation, the obtained category of descriptions cleared the outcome space a bigger structure to relate different methods of experiencing phenomenon and to provide a better multidimensional image of various concepts of individuals being studied.
Conclusion: Findings can be a great help in better understanding of collective consciousness toward technology power in a particular group of people and also better preparing organization to face it.
Hoda Khodashenas, , Zobeideh Khodashenas,
Volume 8, Issue 3 (11-2021)
Abstract

Background and Aim: The purpose is to identify the components of health literacy amongst University library users.
Methodology: This purpose-based research is a qualitative-quantitative survey study. The qualitative part concentrates on the individuals with background in health literacy and research. In the quantitative part students at the libraries of the University of Tehran were surveyed. The research instrument was a structural questionnaire on health literacy of individuals in the community. Reliability of  more than 0.7 was obtained via Cronbach’s alpha
Findings: It is important to mention that understanding health information stood at the desirable level and other components stood at a comparatively appropriate stage among the elements of health literacy of users at the University Library of Tehran. Although there is a significant relationship between health literacy skills with income, there is no significant relationship among gender, age, faculty, and level of education with health literacy skills.
Conclusion: It is necessary to measure health literacy practically and apply the results in the community and other comparable communities. The level of health literacy could increase considerably by using programs to promote the health literacy of the community.

Dr. Mohammad Moradi, Dr. Mojtaba Mazoochi,
Volume 8, Issue 4 (2-2022)
Abstract

Purpose: The purpose is to present an open government data evaluation method by considering comprehensive and complete dimensions and criteria - calculating the weight and importance of each criterion, examining the country in this area, clustering organizations and presenting a classification model to predict the situation.
Methodology: Library studies was used to extract the dimensions and criteria of evaluation. Population includes articles related to open government data evaluation criteria. Ten articles were reviewed by simple random sampling method. Multiple attribute decision making techniques was used to calculate the weight and importance of each criterion. Data mining techniques was incorporated to cluster and create a classification model.
Findings: By reviewing the articles 15 criteria of open government data evaluation including:  Data originality, license openness, up-to-datedness, data access rate, metadata completeness, number of data sets, format openness, non-discriminatory, comprehensible, number of data fields, free, no missing data, data request ability, visual and feedback, were extracted. Using AHP technique, the weights of the criteria were calculated, which after normalization, the total weight of the 15 extracted criteria was equal to one. "Data originality" with a weight of 0.165, " license openness " with a weight of 0.124 and " up-to-datedness" with a weight of 0.109 were ranked first to third among 15 evaluation criteria, respectively. Weight of evaluation criteria obtained and data extraction of 358 organizations in harmony with 15 evaluation criteria, the weight of organizations was calculated. The sum of the weights was equal to one. "East Azerbaijan Agricultural Jihad Organization" with a weight of 0.088, "Statistics Center of Iran" with a weight of 0.062 and "Geological Survey" with a weight of 0.058 were the first to third ranks among 358 organizations and government institutions, respectively, based on the combination of criteria and the weight of criteria.
Conclusion: Evaluation criteria obtained, calculating the weight and importance of each criterion, examining the current situation of government organizations and institutions in the country and the classification model created can help managers to understand the current situation and improve it and thus increase citizens' interaction with open government data as a kind of human information interaction.

Ms. Maryam Abolghasemi, Dr. Fatemeh Fahimnia,
Volume 8, Issue 4 (2-2022)
Abstract

Background and Aim: In processing large data, scientists have to perform the tedious task of analyzing hefty bulk of data. Machine learning techniques are a potential solution to this problem. In citizen science, human and artificial intelligence may be unified to facilitate this effort. Considering the ambiguities in machine performance and management of user-generated data, this paper aims to explain how machine learning can be combined with the active citizenship concept. In addition, it discusses the necessary conditions for advancing the citizen science and beyond.
Method: The review method and comprehensive systematic study was applied to assess the concept of machine learning, citizen science and human-computer interaction.
Results: Many research problems seem to be computationally insolvable and may demand human cognitive skills. Therefore, due to classification activities which are performed in the majority of large-scale citizenship science projects, in addition to participants who may learn lessons about the science, machines also learn lessons about human and imitate him and slowly its learning capacity enhances over time. Artificial intelligence, particularly machine learning is a debatable topic with related ambiguities and biases which should strongly take into consideration.
Conclusion: The application of machine learning techniques carries many advantages including classification time cut and masterful evaluations in the process of making decisions on big data sets. However, algorithms usually act as a black box where data biases are not observable at first glance. Taking this problem into consideration may mitigate serious risks arising from the application of such techniques.
Dr. Ali Naimi-Sadigh, Dr. Mohammad Rabiei, Dr. Alireza Seghatoleslami,
Volume 9, Issue 2 (9-2022)
Abstract

Objectives: The National Conference of Information Technology Managers is conceivably the most significant of its nature in the country. Chief competitive advantage to comparable ones is its observant of products in IT as an alternative to papers. The purpose is a comprehensive design for the scientific evaluation of information technology products.
Method: For the evaluation plan of the premium information technology award (FAB), three main scientific-technological, managerial-economical and cultural-social axes were studied.  At the end, the criteria and sub-criteria were interviewed using the experts' focus group method. Initially, the information technology products were classified according to their nature.  Then, the importance of criteria and sub-criteria were determined for all their features. Finally, evaluation of the products was done based on their identified importance.
Findings: The products are divided into 9 groups according to the type of customer and the product usage. Each of these 9 groups will have unique features and different sub-criteria. They receive their total weight by points given via expert judges that will be their score compared to the other products, and therefore could rank the products.
Conclusion: After receiving the products, in the first stage, they are evaluated in the internal scientific evaluation committee of the conference. In the next stage, the products receiving the highest points are for the evaluation of the presence of internal and external judges.

 

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