Presenting the Conceptual model of the Social Knowledge Management using Meta Synthesis Method

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:

Social knowledge management is an intersection between social knowledge management and social capital that plays an important role in extracting implicit social knowledge. The purpose of this research is to manage the social knowledge management of social network users. This research is an applied research that is done with meta-synthesis. To analyze the data, seven step-by-step methods of Sandloski and Baruso have been used. A total of 44 sources out of 258 sources were selected for the final meta-synthesis from which 224 codes, 25 concepts, and 8 categories were extracted and analyzed using Excel 2016 statistical software.The findings showed that the components of social knowledge management include intellectual capital (human, structural and communication); social capital (structural, cognitive and relational); knowledge management (knowledge dimensions, knowledge types, knowledge management processes, knowledge conversion, knowledge ecosystem and its obstacles); communications (personal and collective); learning (individual, collective and learning styles); leadership (management skills and management styles); culture (trust and interest and motivation); and technology (social media, semantic web and information and knowledge management systems). Also, findings showed that the knowledge and the social and intellectual capitals are components of the conceptual model of social knowledge management and this model is affected by communication, culture, technology and leadership factors and there are interactions between all of the above-mentioned elements. Generally, it can be said that the proposed conceptual model can help to evaluate the success factors of social knowledge management in organizations.
Keywords: Knowledge, Knowledge Management, Social Knowledge, Social Knowledge Management

Language:
Persian
Published:
Scientific Journal of Organizational Knowledge Management, Volume:3 Issue: 9, 2020
Pages:
51 to 96
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