The double-edged sword of external search in collaboration networks: embeddedness in knowledge networks as moderators
文献类型： 外文期刊
作者： Shi, Xiaoxiao 1 ; Zhang, Qingpu 1 ; Zheng, Zuolong 3 ;
作者机构： 1.Harbin Inst Technol, Sch Management, Harbin, Heilongjiang, Peoples R China
2.Univ Calif Berkeley, Haas Sch Business, Berkeley, CA 94720 USA
3.Suzhou Univ Sci & Technol, Sch Business, Suzhou, Jiangsu, Peoples R China
关键词： Knowledge network; Collaboration network
期刊名称：JOURNAL OF KNOWLEDGE MANAGEMENT （ 影响因子：7.0； 五年影响因子：8.8 ）
ISSN： 1367-3270
年卷期： 2019 年 23 卷 10 期
页码：
收录情况： SCI
摘要： Purpose The purpose of this paper is to analyze the inverted U-shaped relationship between external search in the collaboration network and firm innovation outcomes. It also seeks to explore whether these curvilinear relationships are moderated by the network centrality and structural holes in the knowledge network. Design/methodology/approach In this empirical research, the authors collected a sample of patents in the smartphone industry over the period of 2000-2017. Then the authors examined the direct roles of external search breadth and depth in the collaboration network and the moderating role of network embeddedness in the knowledge network by using negative binomial regression. Findings Results found that external search in the collaboration network contributes more to firm innovation outcomes when the breadth and depth of the external search are moderate rather than high or low. Furthermore, both network centrality and structural holes in the knowledge network have positive effects on the external search breadth - innovation outcomes and external search depth - innovation outcomes relationships. Originality/value This study adds value to open innovation literature by pointing out a curvilinear relationship (inverted U-shaped) between external search breadth/depth and innovation outcomes in collaboration networks, in contrast to studies focused on firms' external collaboration strategies in a certain industry context. Furthermore, this study reinforces the key contingent role of embeddedness in knowledge networks. This study provides a valuable theoretical framework of innovation outcome determinants by connecting the network perspective of open innovation theory with an embeddedness view.
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