4.7 Article

Rethinking individual technological innovation: Cooperation network stability and the contingent effect of knowledge network attributes

Journal

JOURNAL OF BUSINESS RESEARCH
Volume 144, Issue -, Pages 366-376

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.jbusres.2022.02.004

Keywords

Cooperation Network Stability; Knowledge Network Technological Complexity; Knowledge Network Diversity; Knowledge Network Stability; Individual Technological Innovation

Categories

Funding

  1. National Nature Science Foundation of China (NSFC) [71672123]
  2. National Na-ture Science Foundation of China (NSFC) [72174096]

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This study examines the impact of a focal inventor's ego cooperation network stability on innovation, as well as the moderating effects of technological complexity and knowledge network stability. The results show an inverted U-shaped relationship between ego cooperation network stability and innovation, with technological complexity weakening this relationship and knowledge network stability enhancing it.
The innovation of inventors is doubly embedded in a cooperation network of collaborations among inventors, and knowledge network composed of linkages among knowledge elements. Network research has provided many insights for individual innovation, yet prior research treats the network as static, ignoring its dynamics. Drawing on social network theory, this study develops a theoretical model that links a focal inventor's ego cooperation network stability to innovation. Furthermore, it investigates three knowledge network contingencies, namely technological complexity, knowledge diversity, and the stability of the focal inventor's ego knowledge network, which moderate the relationship between ego cooperation network stability and innovation. Hypotheses are tested using patent data of Huawei's 1,531 inventors filed in China between 2004 and 2013. The results show that the focal inventor's ego cooperation network stability has an inverted U-shaped effect on innovation. Moreover, technological complexity weakens this effect, while knowledge network stability enhances it.

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