中心性
构造(python库)
同种类的
实证研究
业务
网络结构
透视图(图形)
知识管理
计算机科学
数学
统计
组合数学
机器学习
人工智能
程序设计语言
作者
Kaihua Chen,Yi Zhang,Zhu Guilong,Renyan Mu
出处
期刊:Technovation
[Elsevier BV]
日期:2017-12-06
卷期号:94-95: 102002-102002
被引量:73
标识
DOI:10.1016/j.technovation.2017.10.005
摘要
There is scarce empirical evidence on the impact of inter-organizational collaboration across research institutes, industries or/and universities on the scientific performance of research institutes. This paper fills this gap by examining how the research institutes' bilateral/trilateral collaborations with industries or/and universities influence their research outputs from a network perspective. We construct a unique dataset based on the Chinese Academy of Sciences' inter-organizational research collaboration networks with industries or/and universities, which enables us to build three homogeneous, heterogeneous and hybrid inter-organizational research networks as our multi-scenario sample. Our study confirms that the scientific performance of research institutes is significantly affected by their network positions in the research collaboration networks with industries or/and universities. Specifically, in the homogeneous "University-Research Institute" (UR) collaboration network, the degree centrality and the structural holes of the research institutes affect their scientific performance respectively in an inverted U-shaped manner and a positive linear one. By contrast, in both the heterogeneous "Industry-Research Institute" (IR) and the hybrid "Industry-University-Research Institute" (IUR) collaboration networks, the degree centrality and the structural holes of research institutes affect their scientific performance respectively in a positive linear manner and an inverted U-shaped one. Our findings indicate that the impact pattern of the network positions of innovative organizations on their performance likely varies with the network structure and composition in different inter-organizational contexts.
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