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

Haodan Tang, Kaiwen Wu and Jing Zhou

Economics Letters, 2025, vol. 254, issue C

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.

Keywords: Supply chain resilience; Artificial intelligence; Supply chain management (search for similar items in EconPapers)
JEL-codes: M11 O14 O33 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecolet:v:254:y:2025:i:c:s0165176525003258

DOI: 10.1016/j.econlet.2025.112488

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