期刊
PROJECT MANAGEMENT JOURNAL
卷 49, 期 4, 页码 5-19出版社
SAGE PUBLICATIONS INC
DOI: 10.1177/8756972818781628
关键词
exponential random graph models; open innovation; project management; social networks; tacit knowledge
类别
资金
- Commonwealth Scientific and Industrial Research Organization (CSIRO), Australian Research Council (ARC) Pathways to Market Industrial Transformation Research Hub hosted by the University of Tasmania
Tacit knowledge is considered critical to the success of open innovation projects, yet little is known about the factors that promote or impede tacit knowledge sharing in such projects. This article uses exponential random graph modeling to examine both tacit and explicit knowledge sharing in two early-stage open innovation projects. Results indicate autonomous motivation predicts tacit knowledge sharing, suggesting that managers need to promote a team culture that satisfies members' needs for autonomy, competence, and relatedness. The modeling also suggests that brokerage is important in the early stage of a project to build the strong informal social structures needed to facilitate the exchange of tacit knowledge.
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