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Influence of artificial intelligence development on supply chain diversification

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  • Wu, Bilin
  • Chen, Hang
  • Shi, Yanchao

Abstract

This study examines the impact of corporate artificial intelligence (AI) development on supply chain diversification using data of 3,568 Chinese firms (2011–2020). Findings indicate that AI significantly promotes supply chain diversification, primarily by reducing coordination costs and enhancing information transparency. Heterogeneity analyses indicatepronounced effects in thehigh-tech and manufacturing sectors. Theoretically,the study enhances the understanding of supply chain management in the digital age.Practically,it offers managers insights into leveraging AI toenhance supply chain diversification.

Suggested Citation

  • Wu, Bilin & Chen, Hang & Shi, Yanchao, 2025. "Influence of artificial intelligence development on supply chain diversification," Finance Research Letters, Elsevier, vol. 78(C).
    • Handle: RePEc:eee:finlet:v:78:y:2025:i:c:s1544612325004738
    DOI: 10.1016/j.frl.2025.107210
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    References listed on IDEAS

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    Cited by:

    1. Li, Zhe & Liu, Minggang & Wang, Lu, 2025. "Artificial intelligence development and rural labor employment quality," International Review of Economics & Finance, Elsevier, vol. 102(C).
    2. Wang, Jie & Li, Wanli, 2026. "State-owned capital participation and customer concentration in private firms: Evidence from China," Economic Modelling, Elsevier, vol. 155(C).
    3. Liu, Xiaoyu & Wang, Yuanzhu, 2025. "Artificial intelligence technology, risk taking, and financing costs of technology-based firms," Finance Research Letters, Elsevier, vol. 85(PA).
    4. Li, Jian & Yi, Mei & Sun, Qing, 2025. "Artificial intelligence and supply chain risk: Mediating effects of supply chain efficiency and resilience," International Review of Financial Analysis, Elsevier, vol. 108(PA).

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