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The role of artificial intelligence in supply chain management: mapping the territory

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  • Rohit Sharma
  • Anjali Shishodia
  • Angappa Gunasekaran
  • Hokey Min
  • Ziaul Haque Munim

Abstract

The study aims to identify the current trends, gaps, and research opportunities in research pertaining to the disruptive field of artificial intelligence (AI) applications in supply chain management (SCM). Since SCM represents managerial innovation due to its new way of integrated system thinking, SCM has emerged as one of the most fruitful business disciplines for AI applications. The study utilises bibliometric review in tracing the evolution of AI research in SCM and further synthesises decades of past AI research efforts to develop viable solutions for various supply chain problems and then proposes promising future research themes that would enrich supply chain decision-aid tools. The study identified five main research clusters through scholarly network and content analysis. The identified themes were: (a) supply chain network design (SCND), (b) supplier selection, (c) inventory planning, (d) demand planning, and (e) green supply chain management. As the role of AI in SCM continues to grow, there is a growing need for exploiting AI as a way to add value to supply chain process. The study proposes a research framework which will help academicians and practitioners in identifying current research patterns of AI in SCM.

Suggested Citation

  • Rohit Sharma & Anjali Shishodia & Angappa Gunasekaran & Hokey Min & Ziaul Haque Munim, 2022. "The role of artificial intelligence in supply chain management: mapping the territory," International Journal of Production Research, Taylor & Francis Journals, vol. 60(24), pages 7527-7550, December.
    • Handle: RePEc:taf:tprsxx:v:60:y:2022:i:24:p:7527-7550
    DOI: 10.1080/00207543.2022.2029611
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    Cited by:

    1. Ghafoori, Arman & Gupta, Manjul & Merhi, Mohammad I. & Gupta, Samrat & Shore, Adam P., 2024. "Toward the role of organizational culture in data-driven digital transformation," International Journal of Production Economics, Elsevier, vol. 271(C).
    2. Samadhiya, Ashutosh & Yadav, Sanjeev & Kumar, Anil & Majumdar, Abhijit & Luthra, Sunil & Garza-Reyes, Jose Arturo & Upadhyay, Arvind, 2023. "The influence of artificial intelligence techniques on disruption management: Does supply chain dynamism matter?," Technology in Society, Elsevier, vol. 75(C).
    3. Bhattacharya, Sourabh & Govindan, Kannan & Ghosh Dastidar, Surajit & Sharma, Preeti, 2024. "Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
    4. Enrique, Daisy Valle & Lerman, Laura Visintainer & Sousa, Paulo Renato de & Benitez, Guilherme Brittes & Bigares Charrua Santos, Fernando M. & Frank, Alejandro G., 2022. "Being digital and flexible to navigate the storm: How digital transformation enhances supply chain flexibility in turbulent environments," International Journal of Production Economics, Elsevier, vol. 250(C).
    5. Hangl, Johannes & Krause, Simon & Behrens, Viktoria Joy, 2023. "Drivers, barriers and social considerations for AI adoption in SCM," Technology in Society, Elsevier, vol. 74(C).

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