Antecedent configurations toward radical green innovation: Based on resource orchestration theory

Rixiao Cui, Enjun Xia and Xiaoli Guo

Technological Forecasting and Social Change, 2025, vol. 214, issue C

Abstract: Many antecedents of radical green innovation (RGI) have been documented independently, without considering their synergistic effects. Combining the configurational approach with resource orchestration theory, this study explores the configurations of realizing RGI by considering environmental and resource factors. Drawing upon data on 332 manufacturing firms in China's strategic emerging industry and using fuzzy-set qualitative comparative analysis (fsQCA), we determine that combining environmental pressures and resource strategies can promote RGI. We find that three configurational patterns lead to high RGI, including “market-exploratory”, “regulatory-exploitative”, “dual pressure-ambidexterity”, and three configurational paths lead to non-high RGI. This study complements and extends existing RGI literature from the configurational perspective, enriches the understanding for shaping RGI based on resource orchestration theory, and has important implications for managerial practice.

Keywords: Radical green innovation; Green market pressure; Environmental regulatory pressure; Exploitative green learning; Exploratory green learning; Green transformational leadership (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:214:y:2025:i:c:s0040162525000691

DOI: 10.1016/j.techfore.2025.124038

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