What question did this study set out to answer?

This research aims to explore how artificial intelligence impacts supply chain resilience, especially during emergencies.

The impact mechanism of artificial intelligence on the resilience of manufacturing supply chains and empirical examination

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Empirical analysis reveals AI enhances supply chain resilience in manufacturing, suggesting strategic implications for management and policy.

This research aims to explore how artificial intelligence impacts supply chain resilience, especially during emergencies.
Conducted empirical analysis using data from A-share listed manufacturing companies between 2011 and 2023.
Utilized a multi-period difference-in-differences (DID) model to assess AI's impact.
Leveraged mediation and moderation models to investigate the mechanisms enhancing resilience.
AI significantly enhances supply chain resilience, validated through robustness checks.
Mechanism analysis shows AI boosts resilience by improving total factor productivity and promoting technological innovation.
Higher enterprise agility amplifies the positive effects of AI on supply chain resilience.

Zhu et al. (2026) studied this question.

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Empirical analysis reveals AI enhances supply chain resilience in manufacturing, suggesting strategic implications for management and policy.