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How Generative AI Applications Drive Green Innovation in Agricultural Enterprises: The Mediating Role of Green Dynamic Capabilities and the Moderating Role of TMT Behavioral Integration

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  • Xiayu Li

    (School of Economics and Management, Anhui Science and Technology University, Bengbu 233030, China)

  • Lei Xi

    (School of Economics and Management, Anhui Science and Technology University, Bengbu 233030, China
    Anhui Provincial Key Laboratory of Digital Rural Development and Governance, Bengbu 233030, China)

Abstract

Drawing on dynamic capability theory and upper echelons theory, this study develops a moderated mediation framework that treats green dynamic capabilities as a mediator and top management team (TMT) behavioral integration as a moderator. Empirical tests based on sample data reveal that the application of generative artificial intelligence is positively associated with corporate green innovation. This relationship is partially mediated by green dynamic capabilities. Moreover, TMT behavioral integration not only positively moderates the direct effect of generative AI on green innovation but also strengthens both stages of the indirect path, thereby reinforcing the overall mediated mechanism. The study uncovers a “capability transformation” process and “governance boundary” conditions through which generative AI may facilitate green innovation in agricultural enterprises, extends theoretical research at the nexus of digital technology and green innovation, and offers practical guidance for agri-businesses seeking coordinated digital and green development.

Suggested Citation

  • Xiayu Li & Lei Xi, 2026. "How Generative AI Applications Drive Green Innovation in Agricultural Enterprises: The Mediating Role of Green Dynamic Capabilities and the Moderating Role of TMT Behavioral Integration," Sustainability, MDPI, vol. 18(12), pages 1-27, June.
    • Handle: RePEc:gam:jsusta:v:18:y:2026:i:12:p:6049-:d:1965952
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