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Showing 6 results for Hassanzadeh

Mohammad Hassanzadeh, Reza Hassanzadeh, Zahra Safaei, Omran Ghorbani, Ali Akbar Dastjedrdi, Somayeh Parvin,
Volume 3, Issue 1 (6-2016)


Background and Aim: Research was carried out as a survey utilizing a researcher made questionnaire. 1149 postgraduate students were selected to fill in the research questionnaire, and 837 questionnaires were sent back. Along with descriptive statistics, independent samples t test was used to examine the difference between groups and Pearson co-efficient  to measure correlations of variables.

Findings: More than 60 percent of students evaluated electronic information resources as most valuable and responsiveness to their information needs. More than half of students were only after free search engines, databases and  simple searches.  Sixtey   percent   did not formulate their search languages and relied  on trial and error to obtain pertinent information.  Less than 40 percent of students prefer the databases subscribed by their university.  Among different types of electronic documents, electronic papers were most popular amongst students. Most of retrieved documents   were used for writing research papers. Seventy percent of students believed that in the case of cessation  of  electronic resources, their research activities will be hampered. Only 18 percent of students were intended to pay per access to electronic resources and most of them indicated that in the case of disconnection, they will try to find an alternative way of access.

Conclusion: Vis-à-vis the favored situation in science production of the country, in order to fulfill national scientific development strategies, secure access to electronic resources should be guaranteed.

Fatemeh Navidi, Seyedeh Leili Mirtaheri, Mohammad Hassanzadeh,
Volume 4, Issue 2 (9-2017)

Background and Aim. The promising outlook of easy communication incurring minimum cost has caused social networks to face increasing number of active members each day. These members develop and expand international communication through information sharing including personal information. Thus, big data analysis of social networks provides companies, organizations and governments with ample and unique opportunities to reach their strategic goals and various methods have been proposed in order to accomplish this objective. Each method has its own advantages, disadvantages and application area which would require deep study and assessment to understand. Therefore, the aim of this study is to investigate the approaches and methods of data analysis in social networks and study the advantages, disadvantages and application area of each method.

Method. This research is an applied research with qualitative approach and it was conducted using thematic analysis method and the study population include 35related conference papers, journal articles and reports published during 2010-2017.

Results. Various methods are used for the analysis of social networks and these methods are classified into three categories: quantitative, qualitative and mixed methods.

Conclusion. Due to the complex and multidimensional nature of social networks, the best approach is a mixed approach. This means combination of qualitative and quantitative methods and exploring various aspects of networks.

Mansoreh Hoseinishoar, Alireza Esfandyari Moghadam, Atefeh Zarei, Mohammad Hassanzadeh,
Volume 4, Issue 3 (12-2017)

Background and Aim: This research was performed to investigate factors affecting the adoption of Web 2.0 technologies in E-Government from the perspective of the Hamadan province's citizens who refer to the offices of E-government using a descriptive survey.
Methods: this survey is applied using descriptive-analytic approach. To collect the required research data, a researcher-made questionnaire was used. This questionnaire includes 24 questions in 7 dimensions (Economic, Individual, Technological, Cultural, Organizational, Motivational and Social Factors) and 5 questions related to demographic information. The statistical population of the survey includes citizens who apply for public and private sector services to E-government counter offices. A sample using stratified random sampling with proportional allocation was determined 518 people. Data analysis was performed using the SPSS-24 and Amos-24 software.
Results: The results from this research showed a significant relationship between all the 6 factors of economic, individual, technological, cultural, organizational and motivational factors in the Web 2.0 technologies acceptance to implement E-government in the Hamadan. Nonetheless, no relationship was found between results from the social factors and Web 2.0 technologies acceptance.
Conclusion: Based on the results, in order to invest in the implementation of E-government based on Web 2.0 technologies focus should be on the field of economic, individual, technological, cultural, organizational and motivational factors. Because each of these factors has subcomponent that provide the context for development of these factors will indirectly affect the other factors.

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

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.
Mohamad Hassanzadeh, Somaye Ahmadi, Fatemeh Zandian,
Volume 5, Issue 1 (6-2018)

Purpose: This study aims to reveal the intellectual structure of Knowledge and Information Science and its evolution along with the review of journals subjective scope based on 6830 abstract in the ten core journal in the JCR 2013, over the ten years (2004-2013).
Methodology: In this research, co-word and Correspondence analysis of 150 words -selected by tf-idf weight- were done after parametric analysis. To this end, the Cosine theta index and the second-order affinity were used for the hierarchical clustering based on the average-linkage algorithm.
Findings: The results of the co-word analysis reveal 3 mature clusters and 1 immature cluster in relation to the second cluster. Furthermore, the study of journals' domain show four clusters and the time progress show two clusters in counterclockwise motion.
Conclusion: In general, the results show except cluster four all clusters have a stable state with conceptual maturity, and along with constant concepts, a conceptual metamorphosis can be seen under the influence of technological change.
Hamidreza Rostami, Shaban Elahi, Ali Moeini, Alireza Hassanzadeh,
Volume 8, Issue 4 (2-2022)

Background:  Semantic technologies (STs) have made machine reasoning possible by providing intelligent data management methods. This capability has created new forms of interaction between humans and STs, which is called "semantic interaction."  The increasing spread of this form of interaction in daily life reveals the need to identify the factors affecting it and introduce the requirements of a synergistic interaction, which in this study is interpreted as a model of symbiosis.
Purpose: The main purpose of this study is to investigate what, why, and how human-ST symbiosis occurs in the form of a symbiosis model. Providing such a model could be valuable in developing active strategies in the face of intelligent technologies.
Methodology:  The study introduces actor-networks of human symbiosis based on the actor-network methodology. Data was collected through in-depth interviews with eight managers, experts, and users in the Computer Research Centers of Islamic Sciences (CRCIS) and examined using the actor network method. All phases of data collection, implementations, coding and analysis were done under NVivo software.
Findings: In the human-ST symbiosis, beside human eleven other actors:  Semantic products, context, infrastructure, data, knowledge, social media, Web, scientific centers, organization, AI and ontology are identified. Their interaction establishes seven dynamic actors-networks of symbiosis: Product design and development, use, leadership and management, data, knowledge management, training and contextual conditions.
Conclusion: Semantic products alongside human beings are independent, autonomous, and self-aware actors who are able to go beyond mere mediation of change and govern social change in the Human-ST symbiosis. In such circumstances, man, as the creator and maintainer of the semantic product, in addition to strengthening the technical capabilities in the creation of the product, must entrust to the product the things that the product is able to do.

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