A Symbolic Convergence Perspective for Examining Employee Knowledge Sharing Behaviors in Company-Hosted Virtual Communities

Wei-Tsong Wang and Hui-Hsiang Hung
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Wei-Tsong Wang: Department of Industrial and Information Management, National Cheng Kung University, Tainan, Taiwan
Hui-Hsiang Hung: National Cheng Kung University, Tainan, Taiwan

Information Resources Management Journal (IRMJ), 2019, vol. 32, issue 2, 1-27

Abstract: This article investigates individual knowledge sharing behaviors (KSBs) in company-hosted virtual communities of practice (CVCs), where KSBs are guided mainly by the sense of virtual community (SVC) and the shared meanings that are formed via the recurring communicative patterns and emotional responses in the interpersonal communication processes. The symbolic convergence theory (SCT) addresses the significance of the shared meanings of a social group in facilitating the harmony among and the favorable behaviors of the members of the group. By adopting SCT, the authors examine the effects of SVC and shared-meaning-related factors on KSBs in CVCs. Data collected from 159 CVC participants were analyzed to examine the research model. The authors found that shared language and shared emotional connection significantly influence KSBs both directly and indirectly via SVC. The research findings highlight the importance of achieving shared meaning among individuals in CVCs to encourage interpersonal knowledge sharing via effective communication processes.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:igg:rmj000:v:32:y:2019:i:2:p:1-27

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