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

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.