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Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?

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  • Christian Hendriksen

Abstract

This article examines the theoretical and practical implications of artificial intelligence (AI) integration in supply chain management (SCM). AI has developed dramatically in recent years, embodied by the newest generation of large language models (LLMs) that exhibit human‐like capabilities in various domains. However, SCM as a discipline seems unprepared for this potential revolution, as existing perspectives do not capture the potential for disruption offered by AI tools. Moreover, AI integration in SCM is not only a technical but also a social process, influenced by human sensemaking and interpretation of AI systems. This article offers a novel theoretical lens called the AI Integration (AII) framework, which considers two key dimensions: the level of AI integration across the supply chain and the role of AI in decision‐making. It also incorporates human meaning‐making as an overlaying factor that shapes AI integration and disruption dynamics. The article demonstrates that different ways of integrating AI will lead to different kinds of disruptions, both in theory and in practice. It also discusses the implications of AI integration for SCM theorizing and practice, highlighting the need for cross‐disciplinary collaboration and sociotechnical perspectives.

Suggested Citation

  • Christian Hendriksen, 2023. "Artificial intelligence for supply chain management: Disruptive innovation or innovative disruption?," Journal of Supply Chain Management, Institute for Supply Management, vol. 59(3), pages 65-76, July.
    • Handle: RePEc:bla:jscmgt:v:59:y:2023:i:3:p:65-76
    DOI: 10.1111/jscm.12304
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    References listed on IDEAS

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    Cited by:

    1. Podrecca, Matteo & Culot, Giovanna & Tavassoli, Sam & Orzes, Guido, 2024. "Artificial intelligence for climate change: a patent analysis in the manufacturing sector," Papers in Innovation Studies 2024/12, Lund University, CIRCLE - Centre for Innovation Research.
    2. Fosso Wamba, Samuel & Queiroz, Maciel M. & Chiappetta Jabbour, Charbel Jose & Shi, Chunming (Victor), 2023. "Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?," International Journal of Production Economics, Elsevier, vol. 265(C).
    3. BOWERS Dominique & MATLALA Ntswaki & BERHADIEN Moegamat & UMETOR Henry & GONGXEKA Thabo, 2024. "Sustainable Supply Chain Management And Disruptive Theory: A Bibliometric Review," Management of Sustainable Development, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 16(1), pages 11-23, June.

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