Artificial Intelligence driven sustainable innovation Practices for resilient supply chain

The study titled “Artificial Intelligence-Driven Sustainable Innovations for Resilient Supply Chains” explores the transformative potential of artificial intelligence (AI) in fostering sustainability and resilience within supply chain management, with a specific focus on small and medium-sized enterprises (SMEs). Despite its significant benefits, AI adoption in supply chains is hindered by various challenges that require systematic evaluation and resolution. This research employs the Decision-Making Trial and Evaluation Laboratory (DEMATEL) methodology to identify, rank, and prioritize ten key barriers to AI-driven sustainable innovations. Drawing on extensive literature reviews and expert consultations, the study highlights critical impediments such as insufficient top management support, resistance to technological change, skill shortages, and concerns over data security. By analysing the interrelationships among these barriers, the DEMATEL approach distinguishes between causal and effect factors, enabling targeted strategies to mitigate the most impactful obstacles. The study’s findings provide actionable insights for SMEs in emerging markets, empowering them to harness AI for building resilient and sustainable supply chains in today’s dynamic and competitive business landscape.