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Chain-Leading enterprises' artificial intelligence adoption and supply chain disruption risk

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  • Liang, Xinye
  • He, Qi
  • Jin, Tianquan

Abstract

Confronted with the practical challenges of frequent supply chain disruptions causing economic losses and the opportunities presented by the digital technology revolution, exploring how supply chain governance entities apply artificial intelligence technology to develop proactive risk prevention systems is crucial. This study finds that chain-leading enterprises' artificial intelligence adoption significantly reduces supply chain disruption risk. This effect is achieved through two mechanisms: facilitating supply chain network transformation and coordinating resources across the chain, and is amplified in supply chains with higher concentration and in regions piloting the "chain-leader system." Using chain-leading enterprises as the analytical anchor, we reveal the co-evolutionary mechanisms between supply chain power structures and risk governance systems enabled by digital technology, providing evidence to support government policy formulation for supply chain security and stability.

Suggested Citation

  • Liang, Xinye & He, Qi & Jin, Tianquan, 2025. "Chain-Leading enterprises' artificial intelligence adoption and supply chain disruption risk," Economics Letters, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:ecolet:v:254:y:2025:i:c:s0165176525003398
    DOI: 10.1016/j.econlet.2025.112502
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