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A multilevel model for effects of social capital and knowledge sharing in knowledge-intensive work teams
Authors:Yan Yu  Jin-Xing Hao  Xiao-Ying Dong  Mohamed Khalifa
Institution:1. Information Systems Department, Information School, Renmin University of China, 59 Zhongguancun Street, Haidian District, Beijing 100872, PR China;2. School of Economics and Management, BeiHang University, Beijing 100191, PR China;3. Guanghua School of Management, Peking University, 5 Yiheyuan Road, Haidian District, Beijing 100871, PR China;4. Al Ghurair Univeristy, United Arab Emirates
Abstract:Although it is a widely held belief that social capital facilitates knowledge sharing among individuals, there is little research that has deeply investigated the impacts of social capital at different levels on an individual's knowledge sharing behavior. To address this research gap, this study combines a multilevel approach and an optimal network configuration view to investigate the multilevel effects of social capital on individuals’ knowledge sharing in knowledge intensive work teams. This study makes a distinction between the social capital at the team-level and that of social capital at the individual level to examine their cross-level and direct effects on an individual's sharing of explicit and tacit knowledge. A survey involving 343 participants in 47 knowledge-intensive teams was conducted for testing the multilevel model. The results reveal that social capital at both levels jointly influences an individual's explicit and tacit knowledge sharing. Further, when individuals possess a moderate betweenness centrality and the whole team holds a moderate network density, team members’ knowledge sharing can be maximized. These findings offer a more comprehensive and precise understanding of the multilevel impacts of social capital on team members’ knowledge sharing behavior, thus contributing to the social capital theory, as well as knowledge management research and practices.
Keywords:Knowledge management  Knowledge sharing  Social capital  Social network  Multilevel approach
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