Journal of Global Economics, Management and Business Research

Global supply chains are increasingly complex and volatile, and new leadership paradigms require effective integration of artificial intelligence (AI) and human decision-making. While AI-driven forecasting and analytics provide unprecedented opportunities for efficiency and risk reduction, successful deployments require more than technical abilities. This research addresses a critical gap by proposing a conceptual framework for AI-powered leadership in supply chain management, where AI functions as an intelligent advisor that improves human judgment rather than replacing it. The framework demonstrates through case studies that organizations achieving Stage 5 maturity (Cognitive/Autonomous) in the proposed SCM Analytical Maturity Model show 20-30% improvement in operational efficiency while maintaining ethical governance. Results indicate that balanced AI-human collaboration enables faster, more informed decisions while maintaining accountability and ensuring fairness. The findings provide a strategic roadmap for enhancing supply chain resilience and global competitiveness in the Industry 5.0 era.