Benchmarking operations and supply chain management practices using Generative AI: Towards a theoretical framework

Rameshwar Dubey, Angappa Gunasekaran and Thanos Papadopoulos

Transportation Research Part E: Logistics and Transportation Review, 2024, vol. 189, issue C

Abstract: Generative Artificial Intelligence (Gen AI) is an up-and-coming technological innovation that has the potential to revolutionise businesses and create significant value. Despite garnering excitement from some quarters, there are still people who are sceptical about its benefits and even fearful of its impact, particularly in the supply chain context, where it is not yet fully understood. To help academics and practitioners better understand the practical implications of Gen AI in benchmarking supply chain management practices, we propose a theoretical toolbox. This toolbox draws from ten popular organisational theories and provides a comprehensive framework for evaluating the usefulness of Gen AI. By expanding theoretical boundaries, the toolbox provides a deeper understanding of the practical applications of Gen AI for researchers and practitioners in supply chain management.

Keywords: Generative Artificial Intelligence (Gen AI); Artificial Intelligence Supply Chain Management; Benchmarking; Organisational Theories (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1016/j.tre.2024.103689

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