Integrating artificial intelligence into supply chain management: promise, challenges and guidelines

Henry Adobor, Iddrisu Awudu and Mario Norbis

International Journal of Logistics Systems and Management, 2023, vol. 44, issue 4, 458-488

Abstract: This paper argues that AI can improve supply chain efficiency, and transform supply chain management by providing tools for managing the functions across all the stages of a supply chain. Despite the promise, organisational and managerial challenges may limit AI and SCM integration. We explore the challenges of AI use in SCM and offer some guidelines for its successful integration. We propose that organisations need to make an economic case for AI adoption, develop a plan for AI implementation, including developing core capabilities and system trust for coordinating behaviour across the stages of the supply chain. In addition, organisations need to manage the nexus of people and technology to reduce human-machine conflict, as the goal is for AI to augment human capabilities, not to replace them. We provide the implications of the paper for theory and practice.

Keywords: artificial intelligence; supply chain management; stages of supply chains; emerging technology; promise; framing; challenges; guidelines. (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlsma:v:44:y:2023:i:4:p:458-488

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