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Can artificial intelligence drive enterprise green management innovation? A new perspective on harnessing intelligence

Author

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  • Che, Shuai
  • Liu, Chen
  • Wang, Jie
  • Wang, Jun

Abstract

Amid the dual pressures of environmental pollution and resource constraints, enterprises are compelled to pursue green innovation to confront novel management challenges, and artificial intelligence emerges as a critical enabler by endowing enterprise green management innovation with advanced technological capabilities. Using data from Chinese enterprises spanning 2008–2023, this study comprehensively assesses artificial intelligence's catalytic role, revealing that artificial intelligence significantly enhances green management innovation efficiency. Local state-owned enterprises, firms with strong brand and content innovation capabilities, and industries such as water conservancy, public facilities management, wholesale, and retail gain disproportionate benefits. Artificial intelligence's green influence intensifies over time with a notable poverty alleviation effect at the 40th percentile and enhances productivity, resolving the productivity paradox. Theoretically, this study advances understanding by identifying digital, financing, operational, and R&D empowerment as key transmission mechanisms through which artificial intelligence drives green management innovation, collectively helping enterprises overcome high-pollution dilemmas. This research provides a basis for global enterprises to accelerate green management transformation and unleash the power of intelligent technologies in the digital age.

Suggested Citation

  • Che, Shuai & Liu, Chen & Wang, Jie & Wang, Jun, 2026. "Can artificial intelligence drive enterprise green management innovation? A new perspective on harnessing intelligence," Technology in Society, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:teinso:v:85:y:2026:i:c:s0160791x2500346x
    DOI: 10.1016/j.techsoc.2025.103156
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