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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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    1. Zhou, Huiyang & Wang, Ruzhou & Zhang, Xiyu & Chang, Minyen, 2024. "The impact of digital technology adoption on corporate supply chain concentration: Evidence from patent analysis," Finance Research Letters, Elsevier, vol. 64(C).
    2. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    3. Lin, Yongjia & Fan, Di & Shi, Xuanyi & Fu, Maggie, 2021. "The effects of supply chain diversification during the COVID-19 crisis: Evidence from Chinese manufacturers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    4. Shang, Yunfeng & Yang, Qin & Pu, Yuanjie & Taghizadeh-Hesary, Farhad, 2024. "Employing artificial intelligence and enhancing resource efficiency to achieve carbon neutrality," Resources Policy, Elsevier, vol. 88(C).
    5. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
    6. Gérard P. Cachon & Taylor Randall & Glen M. Schmidt, 2007. "In Search of the Bullwhip Effect," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 457-479, April.
    7. Yang, Jie, 2014. "Supply chain agility: Securing performance for Chinese manufacturers," International Journal of Production Economics, Elsevier, vol. 150(C), pages 104-113.
    8. Mohammadali Vosooghidizaji & Atour Taghipour & Béatrice Canel-Depitre, 2020. "Supply chain coordination under information asymmetry: a review," International Journal of Production Research, Taylor & Francis Journals, vol. 58(6), pages 1805-1834, March.
    9. Feng Dong & Shengnan Zhang & Jiao Zhu & Jiaojiao Sun, 2021. "The Impact of the Integrated Development of AI and Energy Industry on Regional Energy Industry: A Case of China," IJERPH, MDPI, vol. 18(17), pages 1-24, August.
    10. Bikash Koli Dey & Hyesung Seok, 2024. "Intelligent inventory management with autonomation and service strategy," Journal of Intelligent Manufacturing, Springer, vol. 35(1), pages 307-330, January.
    11. Kinkel, Steffen & Baumgartner, Marco & Cherubini, Enrica, 2022. "Prerequisites for the adoption of AI technologies in manufacturing – Evidence from a worldwide sample of manufacturing companies," Technovation, Elsevier, vol. 110(C).
    12. Samuel Fosso Wamba & Cameron Guthrie & Maciel M. Queiroz & Stefan Minner, 2024. "ChatGPT and generative artificial intelligence: an exploratory study of key benefits and challenges in operations and supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 62(16), pages 5676-5696, August.
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