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Understanding knowledge sharing in virtual communities: an integration of social capital and social cognitive theories

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TLDR
The study holds that the facets of social capital -- social interaction ties, trust, norm of reciprocity, identification, shared vision and shared language -- will influence individuals' knowledge sharing in virtual communities.
Abstract
The biggest challenge in fostering a virtual community is the supply of knowledge, namely the willingness to snare Knowledge with other members. This paper integrates the Social Cognitive Theory and the Social Capital Theory to construct a model for investigating the motivations behind people's knowledge sharing in virtual communities. The study holds that the facets of social capital -- social interaction ties, trust, norm of reciprocity, identification, shared vision and shared language -- will influence individuals' knowledge sharing in virtual communities. We also argue that outcome expectations -- community-related outcome expectations and personal outcome expectations -- can engender knowledge sharing in virtual communities. Data collected from 310 members of one professional virtual community provide support for the proposed model. The results help in identifying the motivation underlying individuals' knowledge sharing behavior in professional virtual communities. The implications for theory and practice and future research directions are discussed.

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Knowledge sharing: A review and directions for future research

TL;DR: In this paper, the authors developed a framework for understanding knowledge sharing research and identified five areas of emphasis of knowledge sharing: organizational context, interpersonal and team characteristics, cultural characteristics, individual characteristics, and motivational factors.
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Through a Glass Darkly: Information Technology Design, Identity Verification, and Knowledge Contribution in Online Communities

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News sharing in social media: The effect of gratifications and prior experience

TL;DR: Results from structural equation modeling (SEM) analysis revealed that respondents who were driven by gratifications of information seeking, socializing, entertainment, status seeking, and status seeking were more likely to share news in social media platforms.
References
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Structural equation modeling in practice: a review and recommended two-step approach

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Journal ArticleDOI

Social Capital in the Creation of Human Capital

TL;DR: In this paper, the concept of social capital is introduced and illustrated, its forms are described, the social structural conditions under which it arises are examined, and it is used in an analys...
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