Literaturnachweis - Detailanzeige
Autor/inn/en | Luo, Taiye; Zhang, Zhengang |
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Titel | Multi-network embeddedness and innovation performance of R&D employees. |
Quelle | In: Scientometrics, (2021) 9, S.8091-8107
PDF als Volltext |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0138-9130 |
DOI | 10.1007/s11192-021-04106-7 |
Schlagwörter | Multi-network embeddedness; Knowledge network; Collaboration network; Innovation performance |
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. |
Erfasst von | OLC |
Update | 2023/2/05 |