Reviewing the Roles of Artificial Intelligence-Based Technologies in Sustainable Purchasing and Supply Management

Traditional purchasing and supply management practices have primarily focused on cost optimization and transactional performance. Sustainable purchasing and supply management broadens this perspective by incorporating social, economic, and environmental dimensions into procurement processes. Implementing such multidimensional objectives is complex, as PSM functions act as interfaces among multiple organizational stakeholders across supply networks. Artificial intelligence has emerged as a pivotal enabler of this transformation, offering capabilities in data-driven decision-making, supplier assessment, and risk mitigation. This study systematically reviews 183 peerreviewed journal articles indexed in Scopus and Web of Science.Using bibliometric analysis and structural topic modeling, ten dominant research themes are identified and the evolution of AI applications across SPSM domains is traced. The study proposes a conceptual framework aligning AI technologies with tactical and operational procurement activities and outlines future research propositions for advancing AI-enabled sustainable purchasing practices.