Green Supply Chain Management and Artificial Intelligence: A Review and Bibliometric Analysis

Abstract

Green Supply Chain Management (GSCM) has emerged as a crucial approach for enhancing environmental sustainability in supply chain operations. In parallel, Artificial Intelligence (AI) technologies are revolutionizing decision-making processes, optimization strategies, and overall supply chain efficiency. This paper presents a comprehensive review and bibliometric analysis of the relationship between GSCM and AI, highlighting key research trends, influential authors, and major thematic areas. Using the Bibliometrics R package, relevant publications from the Web of Science Core Collection are analyzed to identify new patterns, collaboration networks, and technological advances that drive sustainability in supply chains. The findings provide valuable insights into how AI-powered solutions, such as machine learning, predictive analytics, and blockchain, contribute to greener and more efficient supply chain practices. This study also outlines future research directions, emphasizing the role of AI in advancing circular economy principles and reducing the environmental impact of supply chain operations.