Artificial Intelligence in Social Commerce Supply Chains: Bibliometric Analysis of Research Trends, Knowledge Clusters and Emerging Insights

Abstract

The integration of artificial intelligence in social commerce supply chains has reshaped global business models. These developments are by enhancing efficiency, customer engagement and data driven decision making. This study conducts a bibliometric analysis of 2,103 Scopus indexed publications (2001– 2025) by VOS Viewer and R Programming to map research trends and emerging insights. Using bibliometric and scientometric techniques, the analysis identifies publication growth patterns, influential authors, leading institutions and highly cited journals It uncovers thematic clusters such as AI enabled demand forecasting, customer behaviour analytics, digital trust and sustainable supply chain practices. The findings reveal a steady research evolution with significant acceleration after 2015. This is coinciding with the rise of digital platforms and social commerce adoption. This study contributes by offering a consolidated understanding of the field’s progression and highlighting future research directions. The insights generated serve as a valuable reference for scholars, practitioners and policymakers advancing AI driven social commerce supply chains.