Research on the driving paths of enterprise innovation resilience from a perspective of dynamic configuration

Zhao Huaping, Chen Long, Xue Ximeng

Science Research Management ›› 2026, Vol. 47 ›› Issue (2) : 137-144.

Science Research Management ›› 2026, Vol. 47 ›› Issue (2) : 137-144. DOI: 10.19571/j.cnki.1000-2995.2026.02.014  CSTR: 32148.14.kygl.2026.02.014
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Research on the driving paths of enterprise innovation resilience from a perspective of dynamic configuration

  • Zhao Huaping, Chen Long, Xue Ximeng
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Abstract

   Enhancing enterprise innovation resilience is the key for enterprises to survive and thrive against adversities in the VUCA era. Based on the integrated framework of internal and external factors, this paper identifies six antecedent conditions of enterprise innovation resilience, including top management team′s experiences, digitalization level, innovation resources investment, urban innovation climate, external R&D cooperation, and environmental complexity, and discusses the configuration patterns and dynamic trajectories of high innovation resilience of enterprises by multi-temporal QCA method based on the listed manufacturing enterprises in China′s A-share market as the observed samples. The results of the study showed that: (1) Enterprise innovation resilience is the outcome of the interaction of multiple factors, and there is no solitary necessary condition; (2) There are four types of equivalent driving paths that enable enterprises to attain high innovation resilience in the pre-impact and post-impact periods, namely digitalization-R&D driven pattern, top management team-R&D driven pattern, top management team-investment driven pattern, and innovation investment driven pattern. Among them, the digitalization-R&D driven pattern emerges stably in both periods, and there are diverse substitution and complementary mechanisms; and (3) Innovation resources investment, top management team′s experiences, external R&D cooperation, and digitalization level are the preponderant factors of the driving paths in both the pre-impact and post-impact periods. The research conclusions are conducive to understanding the complicated formation mechanism of enterprise innovation resilience, and they will provide theoretical and practical insights for enterprises to enhance innovation resilience and achieve high-quality development.

Key words

enterprise innovation resilience / antecedent condition / driving path / configuration analysis / dynamic QCA


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Zhao Huaping, Chen Long, Xue Ximeng. Research on the driving paths of enterprise innovation resilience from a perspective of dynamic configuration[J]. Science Research Management. 2026, 47(2): 137-144 https://doi.org/10.19571/j.cnki.1000-2995.2026.02.014

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