Knowledge Networks, Collaboration Networks, and Local Search Behaviors

Author:

Zhang Hongjuan1,Guo Jia1,Guo Feng1ORCID,Zhang Wanting1

Affiliation:

1. Tianjin University, Tianjin, China

Abstract

Inventors embed themselves in knowledge networks consisting of links between knowledge elements and collaboration networks with other inventors. These two networks are decoupled: Their structural features are distinct, and they jointly influence inventors’ local searches for knowledge. Using a longitudinal patent dataset comprising 12,174 observations, this study investigates the effects of two structural features of inventors in these networks—degree centrality and structural holes—on their local search behaviors. Our findings reveal that the degree centrality of inventors’ knowledge elements in the intra-organizational knowledge network contributes to the depth and breadth of their local search behaviors, while structural holes hinder such behaviors. Furthermore, the effect of degree centrality in the intra-organizational knowledge network for local searches increases when inventors hold central positions and span more structural holes in the intra-organizational collaboration network. The negative effect of structural holes in the knowledge network for local searches weakens when inventors hold central positions in the collaboration network. These findings contribute to the literature on knowledge searches by decoupling the knowledge and collaboration networks and analyzing their effects on the depth and breadth of local searches and offer practical implications to organizational managers and researchers.

Funder

National Natural Science Foundation of China

Major Projects of the Key Research Base of Humanities and Social Sciences of the Ministry of Education

Cultivation of Leading Innovative Talents in Science and Technology

Publisher

SAGE Publications

Subject

Organizational Behavior and Human Resource Management,Applied Psychology,Arts and Humanities (miscellaneous)

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Knowledge Network Embeddedness and Innovation Resilience;IEEE Transactions on Engineering Management;2024

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