article · Discover Sustainability
Supply chains are continually transforming, and artificial intelligence presents promising solutions for enhancing operational processes while addressing sustainability demands and Sustainable Development Goals. Even so, the intersection of artificial intelligence and sustainable supply chain operations remains underexplored. To understand current trends, a bibliometric study evaluated 236 research papers retrieved from the Web of Science database using the R package BiblioShiny. The analysis examined conceptual relationships, key themes, prominent journals, and leading countries in the field. Results show rapid growth in research addressing supply chain management, artificial intelligence, and sustainability. The United Kingdom leads in research output with 132 articles, followed by India, China, and the United States. In terms of institutional affiliations, the National University of Singapore published the highest number of papers, followed by De La Salle University and London Metropolitan University.
Understanding how artificial intelligence can make global supply chains more sustainable is critical for meeting international development targets. By identifying where current knowledge is concentrated and highlighting leading research contributors, this overview helps institutions, managers, and policymakers pinpoint key trends and research priorities to inform future operational strategies.
This work represents early-stage bibliometric research rather than a practical deployment, and it does not test or deliver a specific technology. However, managers and policymakers seeking to adopt artificial intelligence within supply chains can use the identified research trends and institutional contributors to guide strategic policy development and select academic partners for future innovation initiatives.
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Abstract Keeping up with the hastily growing economy implies undergoing unremitting transformation permanently. In the field of supply chain, such progress can only be guaranteed via the exploration of new horizons and innovative solutions in response to the constraints of the global market. Emerging technologies, particularly artificial intelligence, offer promising avenues for enhancing supply chain processes, with sustainability ascending as a critical consideration. Despite the recent surfacing of AI-driven applications, scant attention has been devoted to exploring their full potential within supply chain operations, particularly in conjunction with SDGs. Recognizing the untapped opportunities presented by the implementation of AI for a sustainable supply chain this study undertakes a bibliometric analysis of 236 research papers sourced from the Web of science database. The analysis utilizes R language BiblioShiny to examine the extracted papers, and dissect patterns, trends, and relationships among key concepts and themes as well as prominent topics, impactful authors, and leading journals and countries in this domain. The findings reveal substantial growth in research related to SCM, AI, and sustainability as the UK leads this field of study with 132 articles followed by India, China and the USA. Eventually, the National University of Singapore came first in terms of paper affiliations, followed by De La Salle University, and London Metropolitan University. These results only prove that sustainability is becoming more critical in the equation of AI-driven supply chains especially with the current socio-political and economic circumstances, constituting a solid base for further academic research and more innovations in the managerial and business-related policies in this field.
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DOI: 10.1007/s43621-024-00364-6
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