EFFECTS OF NON-REDUNDANCY AMONG TIES ON RECOMBINANT CAPABILITIES

Jianyu Zhao and Cheng Fu
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Jianyu Zhao: School of Economics and Management, Harbin Engineering University, Harbin, P. R. China
Cheng Fu: School of Economics and Management, Harbin Engineering University, Harbin, P. R. China

International Journal of Innovation Management (ijim), 2022, vol. 26, issue 06, 1-32

Abstract: This study explores the impacts of non-redundancy among ties in collaboration and knowledge networks on diverse recombinant capabilities by examining the moderating effects of both knowledge similarity and knowledge complementarity. By using 3,293 patent data in the graphene field of China, we found that non-redundancy among ties in a collaboration network positively affected both recombinant creation capability and recombinant reuse capability. However, non-redundancy among ties in a knowledge network was found to favour recombinant creation capability but hinder recombinant reuse capability. Moreover, the effects of non-redundancy among ties in different networks on recombinant capabilities depended on knowledge similarity and knowledge complementarity. These findings not only reveal the role of non-redundancy among ties on recombinant capabilities, but also highlight the significance of knowledge similarity and knowledge complementarity in the relationship between non-redundancy among ties and recombinant capabilities, thereby providing fresh insights into how to improve organisational recombinant capabilities

Keywords: Knowledge network; collaboration network; non-redundancy among ties; recombinant capabilities; knowledge similarity; knowledge complementarity (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1142/S1363919622500359

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