This study examines the role of artificial intelligence (AI) in supply chain management (SCM) through a comprehensive bibliometric analysis of literature sourced from the Scopus database, renowned for its extensive and reliable scientific publications. We focused on documents within the fields of Business, Management, and Accounting, restricting our search to English-language publications to minimize translation errors. Using the keywords "supply chain management"and "artificial intelligence,"we identified 395 relevant documents. VOSviewer software facilitated our bibliometric analysis, enabling the creation of co-occurrence networks and visualization of research trends. Our analysis determined publication trends, influential authors, and key research clusters, including IoT, AI in Industry 4.0, supply chain efficiency, and digital transformation for sustainability. The findings underscore AI's transformative impact on SCM, offering valuable insights for future research and practice.

Taking a snapshot of artificial intelligence in supply chain management: A bibliometric study / Bigliardi, B., Dolci, V., Gianatti, E., Petroni, A., Pini, B., Barani, A.. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - 253:(2025), pp. 2625-2634. [10.1016/j.procs.2025.01.322]

Taking a snapshot of artificial intelligence in supply chain management: A bibliometric study

Bigliardi, Barbara;Gianatti, Emilio;Petroni, Alberto;Pini, Benedetta;Barani, Azio
2025-01-01

Abstract

This study examines the role of artificial intelligence (AI) in supply chain management (SCM) through a comprehensive bibliometric analysis of literature sourced from the Scopus database, renowned for its extensive and reliable scientific publications. We focused on documents within the fields of Business, Management, and Accounting, restricting our search to English-language publications to minimize translation errors. Using the keywords "supply chain management"and "artificial intelligence,"we identified 395 relevant documents. VOSviewer software facilitated our bibliometric analysis, enabling the creation of co-occurrence networks and visualization of research trends. Our analysis determined publication trends, influential authors, and key research clusters, including IoT, AI in Industry 4.0, supply chain efficiency, and digital transformation for sustainability. The findings underscore AI's transformative impact on SCM, offering valuable insights for future research and practice.
2025
Taking a snapshot of artificial intelligence in supply chain management: A bibliometric study / Bigliardi, B., Dolci, V., Gianatti, E., Petroni, A., Pini, B., Barani, A.. - In: PROCEDIA COMPUTER SCIENCE. - ISSN 1877-0509. - 253:(2025), pp. 2625-2634. [10.1016/j.procs.2025.01.322]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11381/3020514
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