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Artificial intelligence and resilience of supply chain in China’s listed firms: Insights into vertical spillover effects

Author

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  • Yang, Lu
  • Huang, Manyu
  • Wang, Haoyang

Abstract

Based on data from China’s A-share listed firms from 2012 to 2022, this study employs advanced big data text recognition technology to examine the impact and mechanisms of artificial intelligence (AI) development on supply chain resilience (SCR). The findings indicate that AI development significantly enhances SCR. The primary mechanisms involve promoting diversified supply chain configurations, reducing inefficient investment, and improving operational efficiency. The effect is more pronounced in non-state-owned enterprises compared to state-owned enterprises. Moreover, AI development exerts a stronger positive influence on SCR when firm executives have overseas experience. Additionally, it generates vertical spillover effects, particularly benefiting suppliers. This study fills the gap in quantitative research on the relationship between AI and SCR by employing text mining and patent identification to measure AI development, identifying key mechanisms, and revealing vertical spillover effects.

Suggested Citation

  • Yang, Lu & Huang, Manyu & Wang, Haoyang, 2025. "Artificial intelligence and resilience of supply chain in China’s listed firms: Insights into vertical spillover effects," Finance Research Letters, Elsevier, vol. 85(PB).
    • Handle: RePEc:eee:finlet:v:85:y:2025:i:pb:s1544612325012425
    DOI: 10.1016/j.frl.2025.107984
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