Abstract
This research explores the application of artificial intelligence (AI) in operations and supply chain management (OSCM) and examines how AI can enhance and strengthen the digital capabilities model (DCM). Artificial intelligence is rapidly transforming supply chain operations. To enhance resilience, sustainability, and efficiency of their supply chains, businesses need to understand how this technology affects digital capabilities. Using VOSviewer software, the study conducts a network analysis of term co-occurrence and identifies twelve clusters reflecting important search topics in artificial intelligence applications for OSCM. The research uses a Systematic Literature Network Analysis (SLNA) technique. The analysis of artificial intelligence applications in OSCM identifies four interconnected macro trends: (1) a move toward more integrated and holistic supply chain visions; (2) a greater emphasis on sustainability; (3) enhanced risk management and resilience; and (4) an increasing significance of data-driven decision making. The paper also shows how AI applications, such as genetic algorithms, deep learning, and machine learning, support and enhance the six core capabilities of the Digital Capabilities Model (DCM). The results highlight numerous opportunities for adopting AI within OSCM, offering valuable insights for practitioners aiming to integrate these technologies into their operations.
