Knowledge sharing behavior of Iranian experts in experts’ social networks: Identification of indexes

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

AMIRI MAGHSOUD; ENTEZARI ALI; Sadat Mortaji Najmeh

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: HUMAN INFORMATION INTERACTION Year:2016 | Volume:3 | Issue:3 Page(s): 66-81

Download Full-Text

Persian Verion

View:

604

Download:

Cites:

Information Journal Paper

Title

Knowledge sharing behavior of Iranian experts in experts’ social networks: Identification of indexes

Author(s)

AMIRI MAGHSOUD | ENTEZARI ALI | Sadat Mortaji Najmeh | Issue Writer Certificate

Keywords

Knowledge sharing behavior patternQ2

Iranian professionalsQ2

Behavior indexesQ2

Experts’social networkQ2

Exploratory qualitative methodQ2

Abstract

Background and Aim: Due to the extensive use of knowledge intelligence, the future of countries depend on the application of specialized knowledge-based social networks. Thus, it is noteworthy to highlight the important role of the professionals. The key indicators of a model for knowledge sharing of Iranian experts, in experts’ social networks has been identified. Methods: For this purpose, experts were interviewed in depth using a semi-structured framework in the field of research (n = 15) as well as the Delphi method (n = 9) were used to collect data in research. Results: Findings indicate that the main variable of knowledge sharing behaviors are divided into individual, group, and environmental indexes respectively. Components of the individual dimension of knowledge sharing includes motivation, ethicality, personality, ability, attitude towards knowledge sharing and psychological security. Group dimension of knowledge sharing include shared benefits, group structure and social capital; and finally environmental factors, including technological (beautiful graphics, user-friendly network, server security, the communication infrastructure), political-legal (Funding for R & D for cyberspace area, allocation of financial resources to develop the infrastructure, filtrating, laws relating to intellectual property, bandwidth regulations and laws of cyberspace), economic (The cost of Internet and diversity of online packages) socio-cultural (experts lifestyle and Iranian national character). Conclusion. We can only come to a comprehensive and theoretical model in the field of knowledge sharing behavior of Iranian users when identify the definitions, concepts, dimensions and components of virtual space based on the conditions prevailing in the country.

Cites

No record.

References

No record.

Cite

APA: Copy

AMIRI, MAGHSOUD, ENTEZARI, ALI, & Sadat Mortaji, Najmeh. (2016). Knowledge sharing behavior of Iranian experts in experts’ social networks: Identification of indexes. HUMAN INFORMATION INTERACTION, 3(3 ), 66-81. SID. https://sid.ir/paper/260374/en

Vancouver: Copy

AMIRI MAGHSOUD, ENTEZARI ALI, Sadat Mortaji Najmeh. Knowledge sharing behavior of Iranian experts in experts’ social networks: Identification of indexes. HUMAN INFORMATION INTERACTION[Internet]. 2016;3(3 ):66-81. Available from: https://sid.ir/paper/260374/en

IEEE: Copy

MAGHSOUD AMIRI, ALI ENTEZARI, and Najmeh Sadat Mortaji, “Knowledge sharing behavior of Iranian experts in experts’ social networks: Identification of indexes,” HUMAN INFORMATION INTERACTION, vol. 3, no. 3 , pp. 66–81, 2016, [Online]. Available: https://sid.ir/paper/260374/en

Related Journal Papers