Tacit Knowledge Sharing in Open Innovation Projects

被引:44
作者
Terhorst, Andrew [1 ]
Lusher, Dean [2 ]
Bolton, Dianne [3 ]
Elsum, Ian [5 ,6 ]
Wang, Peng [4 ]
机构
[1] CSIRO, Private Bag 12, Hobart, Tas 7001, Australia
[2] Swinburne Univ Technol, Melbourne, Vic, Australia
[3] Swinburne Univ Technol, Management, Melbourne, Vic, Australia
[4] Swinburne Univ Technol, Ctr Transformat Innovat, Melbourne, Vic, Australia
[5] Australian Natl Univ, Innovat, Canberra, ACT, Australia
[6] Australian Natl Univ, Res Sch Management, Canberra, ACT, Australia
基金
澳大利亚研究理事会;
关键词
exponential random graph models; open innovation; project management; social networks; tacit knowledge; SELF-DETERMINATION THEORY; SOCIAL NETWORKS; INTRINSIC MOTIVATION; LOGISTIC REGRESSIONS; LOGIT-MODELS; TRUST; ORGANIZATIONS; CREATIVITY; STRENGTH; POWER;
D O I
10.1177/8756972818781628
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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.
引用
收藏
页码:5 / 19
页数:15
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