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Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence?

Author

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  • Fosso Wamba, Samuel
  • Queiroz, Maciel M.
  • Chiappetta Jabbour, Charbel Jose
  • Shi, Chunming (Victor)
Abstract
The remarkable growth of ChatGPT, a Generative Artificial Intelligence (Gen-AI), has triggered a significant debate in society. It has the potential to radically transform the business landscape, with consequences for operations and supply chain management (O&SCM). However, empirical evidence on Gen-AI's effects in O&SCM remains limited. This study investigates the benefits, challenges, and trends associated with Gen-AI/ChatGPT in O&SCM. We collected data from O&SCM practitioners in the UK (N = 154) and the USA (N = 161). As we used the organizational learning theory for the research, our findings reveal increased efficiency as a significant benefit for both adopters and non-adopters in both countries, while indicating security, risks, and ethical as prominent concerns. In particular, it appeared that the integration of Gen-AI/ChatGPT leads to the enhancement of the overall supply chain performance. Moreover, organizational learning can speed up the results of Gen-AI/ChatGPT in O&SCM. No wonders that adopters express their satisfaction about the post-implementation benefits of the technology, which include reduced perceived challenges for pre-implementation, and greater optimism about future Gen-AI/ChatGPT utilization compared to non-adopters. Adopters also display diverse behavioral patterns toward efficiency, agility, responsiveness, etc. This study provides valuable insights for scholars, practitioners, and policymakers interested in comprehending Gen-AI/ChatGPT's implications in O&SCM for both adopters and non-adopters. Additionally, it underscores the importance of organizational learning processes in facilitating successful Gen-AI/ChatGPT adoption in O&SCM.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:proeco:v:265:y:2023:i:c:s0925527323002475
    DOI: 10.1016/j.ijpe.2023.109015
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    References listed on IDEAS

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    Cited by:

    1. Zhong, Yufei & Chen, Xuesheng & Wang, Zhixian & Lin, Regina Fang-Ying, 2024. "The nexus among artificial intelligence, supply chain and energy sustainability: A time-varying analysis," Energy Economics, Elsevier, vol. 132(C).
    2. Chakraborty, Debarun & Kumar Kar, Arpan & Patre, Smruti & Gupta, Shivam, 2024. "Enhancing trust in online grocery shopping through generative AI chatbots," Journal of Business Research, Elsevier, vol. 180(C).
    3. Fosso Wamba, Samuel & Queiroz, Maciel M. & Trinchera, Laura, 2024. "The role of artificial intelligence-enabled dynamic capability on environmental performance: The mediation effect of a data-driven culture in France and the USA," International Journal of Production Economics, Elsevier, vol. 268(C).
    4. Singh, Kuldeep & Chatterjee, Sheshadri & Mariani, Marcello, 2024. "Applications of generative AI and future organizational performance: The mediating role of explorative and exploitative innovation and the moderating role of ethical dilemmas and environmental dynamis," Technovation, Elsevier, vol. 133(C).
    5. Talaei-Khoei, Amir & Yang, Alan T. & Masialeti, Masialeti, 2024. "How does incorporating ChatGPT within a firm reinforce agility-mediated performance? The moderating role of innovation infusion and firms’ ethical identity," Technovation, Elsevier, vol. 132(C).

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