Human Information Interaction

Background and Aim: The purpose of this study was to investigate the relationship between social capital and knowledge sharing at national information centers in Iran.

Method: This applied research was carried out using two questionnaires and a checklist. Data were collected from all the managers, but stratified random sample of staff members of three:  main national information centers (National library, Regional Information Center of Science and Technology [RICEST], and Iranian Institute for Information Science and Technology).

Results: research findings indicated that: A) from managers point of view, lowest relationship between social capital and knowledge sharing belonged to the national library. But results gained from staff members credited the lowest situation to the RICEST; B) all of three information centers coined low range of knowledge sharing, therein, National Library with mean 2.17 out of 5 was the tallest among others; C) National Library was the highest among other centers regarding three dimensions (Relations, Trust and Shared norms) of social capital; D) Relationship between knowledge sharing and trust in all three institutes was significant But in Iranian Institute for Information science and Technology the relationship was more outstanding than others; and E) there was significant relationship between shared norms and knowledge sharing in all institutes.

Conclusion: In order for the National Information centers to improve the knowledge sharing culture among their staff members they should   internalize mutual trust, provide them with shared norms and improve organizational communication

Abstract

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.

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.

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.