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Do more structural holes lead to more risk propagation in R&D networks?
Management Decision ( IF 5.589 ) Pub Date : 2020-01-13 , DOI: 10.1108/md-07-2018-0767
Yue Song , Naiding Yang , Yanlu Zhang , Jingbei Wang

The purpose of this paper is twofold: first, to explore how the number of structural holes influences the possibility of risk propagation in RD and second, to investigate how the specific context of tie strength and common cognition moderate the association between structural holes and risk propagation.,This study focuses on how structural holes influence risk propagation under the specific context of relationship and cognitive dimension by drawing on social capital theory. Risk sharing and risk perception as mediating variables are employed in the proposed conceptual model. The authors issued questionnaires to managers and R&D personnel participating in R&D projects and collaboration in Shanghai and Jiangsu province through e-mail and face to face. The data were used to carry out multiple regression analysis to test hypotheses.,The results show that relationship between structural holes and risk propagation of R&D network is U-shaped. Risk perception and risk sharing partially mediate the relationship between structural holes and risk propagation. Tie strength significantly moderates the relationship between structural holes and risk sharing, but insignificantly moderates the association between structural holes and risk perception. Common cognition significantly moderates the associations between structural holes and risk sharing, and structural holes and risk perception, respectively.,This study provides a distinctive theoretical perspective for social capital and risk management. It also offers managers a clear understanding of how to reduce or to avoid risk propagation by jointly leveraging the number of structural holes, tie strength and common cognition.

中文翻译:

更多的结构性漏洞会导致研发网络中更多的风险传播吗?

本文的目的是双重的:首先,探讨结构孔的数量如何影响RD中风险传播的可能性,其次,研究领带强度和共同认知的特定背景如何缓和结构孔与风险传播之间的关联。通过社会资本理论,本研究着重研究结构性空洞如何在关系和认知维度的特定背景下影响风险传播。在建议的概念模型中采用了风险分担和风险感知作为中介变量。作者通过电子邮件和面对面的方式,向参与上海和江苏省研发项目和合作的管理人员和研发人员发放了问卷。数据用于进行多元回归分析以检验假设。结果表明,结构孔与R&D网络的风险传播之间呈U形关系。风险感知和风险分担部分地调节了结构漏洞与风险传播之间的关系。绑扎强度可以显着缓和结构性孔洞与风险分担之间的关系,但可以显着地缓和结构性孔洞与风险感知之间的关系。共同认知显着地缓解了结构性漏洞与风险分担之间的关联,以及结构性漏洞与风险感知之间的联系。本研究为社会资本和风险管理提供了独特的理论视角。通过共同利用结构孔的数量,连接强度和共同认知,它还使管理者对如何减少或避免风险传播有了清晰的了解。
更新日期:2020-01-13
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