Univrsity of Tehran Press Industrial Management Journal 3115-7386 18 2 2026 02 01 AI-Powered Supply Chains: Mapping the Future of Resilience and Sustainability 208 236 106555 10.22059/imj.2026.410606.1008286 EN Arash Ghadami Ph.D. Candidate, Department of Management, Urmia Branch, Islamic Azad University, Urmia, Iran. Mahdi Abdsharafat Ph.D. Candidate, Department of Management, Urmia Branch, Islamic Azad University, Urmia, Iran. Reza Rostamzadeh Associate Prof. , Department of Management, Artificial Intelligence, Automation, Big Data Research Center, Urmia Branch, Islamic Azad University, Urmia, Iran. Hero Isavi Assistant Prof., Department of Management, Urmia Branch, Islamic Azad University, Urmia, Iran. Journal Article 2026 02 06 <strong>Objective</strong>: This study aims to present a bibliometric mapping of artificial intelligence applications in supply chain management. <strong>Methodology:</strong> Performance analysis and scientific mapping are used based on 805 Scopus-indexed journal articles published between 1996 and 15 March 2025.Three research questions are formulated to guide the analysis concerning disciplinary priorities, thematic structure, and international collaboration. <strong>Results</strong>: we document a marked post-2020 acceleration in publications and citations, identify leading sources and authors, and reveal four interconnected thematic clusters: methodological foundations, digital infrastructures, application and resilience foci, and emerging topics. While resilience and sustainability emerge as salient application lenses within the corpus, our contribution is descriptive and explanatory rather than predictive. <strong>Conclusion</strong>: The study clarifies conceptual contours, highlights collaboration hubs led by the United States, India, and China, and delineates gaps that motivate future work on data governance, technical integration, and evaluation across sectors. https://imj.ut.ac.ir/article_106555_2728b694e6e6b00fa233ee4c74018c38.pdf