Human Information Interaction

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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.

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Background and Aim: The object of the  study was to Analyze IFLA Library Reference Model (LRM) Entities and Attributes for Iranian Traditional Music Resources, Case Study: Morq-e Sahar Song.
Method: The  study inherits an applied content analysis method. All Entities and Attributes of  IFlA LRM Model based on  two checklists include:  Final report of IFlA LRM on August 2017 and Transition Mappings User Tasks, Entities, Attributes, and Relationships in FRBR, FRAD, and FRSAD mapped to their equivalents in the IFLA Library Reference Model Analyzed for Morq-e Sahar Song data elements. The research sample size involves Fifty different performances of Morq-e sahar Song.
Results: The results show that all the eleven Entities and the Thirty -Seven Attributes of IFLA-LRM except for Cartographic scale attribute parallels  in Morq-e sahar  song data elements.
Conclusion: As a first step,  the results of  the study  in identifying conveniences of this model for organizing traditional Iranian music resources, realizing IFlA LRM Model’s Entities and Attributes which is  appropriate in Iranian traditional music organization is operational.  The results are also practical for experts of Information organization and designers of Information retrieval system.