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Scientific collaboration networks and firm innovation: the contingent impact of a dynamic environment

Jing Yang (School of Business Administration, Hunan University, Changsha, China)
Jing Zhang (Department of Management, Strome College of Business, Old Dominion University, Norfolk, Virginia, USA)
Deming Zeng (School of Business Administration, Hunan University, Changsha, China)

Management Decision

ISSN: 0025-1747

Article publication date: 27 May 2021

Issue publication date: 6 January 2022

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Abstract

Purpose

The environment in high-tech industries is highly dynamic, and after COVID-19, it has become even more unpredictable. Hence, it has become critical for firms to develop strategies to cope with a highly dynamic environment. This paper aims to analyze how the impact of the scientific collaboration networks with URIs (universities and research institutes) on firm innovation performance is contingent on technological and market dynamics.

Design/methodology/approach

Using a sample of 174 Chinese firms in the new-energy vehicle industry during 2004–2015, the authors applied a random-effects negative binomial modeling approach to model these relationships.

Findings

A broad and strong scientific collaboration network promotes firm innovation network effects are contingent on technological and market dynamics. While technological dynamics strengthen the effect market dynamics weaken it due to the different purposes of collaboration for firms and URIs.

Practical implications

Firms should adjust the structure of scientific collaboration networks with URIs when facing different environments. The government should encourage firms to jointly research with diverse URIs and play an active role in stabilizing market environments.

Originality/value

This study contributes to the academic debate on university-industry scientific collaborations. Applying the temporary competitive advantage (TCA) framework, we provide nuances to the literature that studies the factors that condition the effects of networks. This study also adds to the research on firm scientific collaboration networks by measuring networks based on the coauthorship between firms and URIs.

Keywords

Acknowledgements

Funding: The National Natural Science Foundation of China [grant number: 71932005, 72074070, 71902059 and 72002070] and the Science Research Foundation for Education Department of Hunan Province [grant number: 17B287].

Citation

Yang, J., Zhang, J. and Zeng, D. (2022), "Scientific collaboration networks and firm innovation: the contingent impact of a dynamic environment", Management Decision, Vol. 60 No. 1, pp. 278-296. https://doi.org/10.1108/MD-08-2020-1050

Publisher

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Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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