Do research institutes benefit from their network positions in research collaboration networks with industries or/and universities?
Guilong Zhu and
Technovation, 2020, vol. 94-95
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 institutesâ€™ 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 Sciencesâ€™ 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 â€œUniversity-Research Instituteâ€ (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 â€œIndustry-Research Instituteâ€ (IR) and the hybrid â€œIndustry-University-Research Instituteâ€ (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.
Keywords: Bilateral/trilateral collaboration networks; Research institutes; Network position; Scientific performance; Chinese Academy of Sciences (CAS) (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:94-95:y:2020:i::s0166497217307836
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