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Smarter supply chains, stronger resilience? The impact of AI on preparation, response, and recovery

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  • Tang, Haodan
  • Wu, Kaiwen
  • Zhou, Jing

Abstract

This paper examines the impact of artificial intelligence (AI) adoption on corporate supply chain resilience, with particular attention to the stages of pre-event preparation, in-event response, and post-event recovery. Leveraging a machine learning–enhanced text analysis approach to measure firm-level AI adoption, the study finds that AI adoption significantly enhances supply chain resilience across all phases by reducing supply chain dependence and improving continuity and efficiency.

Suggested Citation

  • Tang, Haodan & Wu, Kaiwen & Zhou, Jing, 2025. "Smarter supply chains, stronger resilience? The impact of AI on preparation, response, and recovery," Economics Letters, Elsevier, vol. 254(C).
    • Handle: RePEc:eee:ecolet:v:254:y:2025:i:c:s0165176525003258
    DOI: 10.1016/j.econlet.2025.112488
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    References listed on IDEAS

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    Cited by:

    1. Lijie Lin & Xiangyu Zhang, 2025. "Research on the Impact of Enterprise Artificial Intelligence on Supply Chain Resilience: Empirical Evidence from Chinese Listed Companies," Sustainability, MDPI, vol. 17(19), pages 1-24, September.

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    Keywords

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    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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