Multi-network embeddedness and innovation performance of R&D employees

Taiye Luo () and Zhengang Zhang
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Taiye Luo: South China University of Technology
Zhengang Zhang: South China University of Technology

Scientometrics, 2021, vol. 126, issue 9, No 32, 8107 pages

Abstract: Abstract Taking the perspective of multi-network embeddedness, this paper constructs the collaboration network of R&D organizations, the collaboration network and knowledge network of R&D employees based on the patent data of 879 R&D employees from 224 R&D organizations, and analyses factors that have significant impacts on R&D employees’ innovation performance. The results show that R&D employees’ knowledge combinatorial potential and knowledge diversity have significant positive impacts on their innovation performance. R&D employees’ degree centralities in the collaboration network mediate the impacts of their knowledge combinatorial potential and knowledge diversity on innovation performance. The degree centralities of R&D organizations moderate the impacts of R&D employees’ degree centralities on innovation performance.

Keywords: Multi-network embeddedness; Knowledge network; Collaboration network; Innovation performance (search for similar items in EconPapers)
Date: 2021
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DOI: 10.1007/s11192-021-04106-7

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