<strong>Artificial intelligence in supply chain management: Enablers and constraints in pre-development, deployment, and post-development stages</strong>

Driven by an insufficient understanding of theoretical research about the enablers and constraints of Artificial Intelligence (AI) on supply chain research, this paper investigates factors that exist in the pre-development, deployment, and post-development stages which either promote or impede the successful adoption and implementation of AI. To bridge the research gap in the field of AI adoption and implementation, this study conducted a comprehensive systematic review of the literature using thematic analysis over a 30-year period, encompassing 361 journal publications from reputable sources.