Title: Visualisation of global research trends and future research directions of artificial intelligence research in supply chain

Authors: Rubel; Bijay Prasad Kushwaha; Gagandeep Kaur

Addresses: University School of Business, Chandigarh University, Mohali, India ' VIT Business School, Vellore Institute of Technology, Vellore, India ' University School of Business, Chandigarh University, Mohali, India

Abstract: The paper aims to investigate the global trends and future research directions of artificial intelligence (AI) in the supply chain. A bibliometric analysis technique was used to get a comprehensive understanding of research progressions, top-cited articles, authors, and co-citations, top contributing countries and institutions towards the discipline of AI in supply chain. The bibliographies data of 317 documents published on AI in supply chain research was extracted from the Scopus database. The results suggest that the most productive year was 2021, and the author is Foropon, C. The most influential author is Antoniou, G., the institution is the Univ. of Huddersfield, and the country is the UK. Furthermore, seven thematic clusters were identified and further evaluated in the article. It informs and directs researchers on the current state of study in the field of AI literature in supply chain research. It also outlines future research directions in this field.

Keywords: bibliometric analysis; artificial intelligence; co-citations analysis; co-occurrence analysis; supply chain.

DOI: 10.1504/IJBIS.2026.154679

International Journal of Business Information Systems, 2026 Vol.52 No.3, pp.281 - 301

Received: 29 Aug 2022
Accepted: 11 Sep 2022
Published online: 10 Jul 2026 *

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