ARTIFICIAL INTELLIGENCE CAPABILITY AND SUPPLY CHAIN RESILIENCE: A CONCEPTUAL FRAMEWORK FOR SMART LOGISTICS AND DISTRIBUTION SYSTEMS

The increasing complexity and vulnerability of global supply chains have intensified the need for resilient logistics and distribution systems capable of responding to disruptions. Recent events such as pandemics, geopolitical tensions, and infrastructure failures have exposed the limitations of traditional supply chain models and highlighted the importance of integrating advanced digital technologies. Among these technologies, artificial intelligence (AI) has emerged as a critical enabler of supply chain transformation. However, despite growing interest in AI adoption, there remains limited theoretical understanding of how artificial intelligence capability contributes to supply chain resilience, particularly through smart logistics and distribution systems. This study develops a conceptual framework that examines the relationship between artificial intelligence capability and supply chain resilience, with smart logistics and distribution systems serving as key mediating mechanisms. Drawing on Dynamic Capabilities Theory, the study conceptualizes artificial intelligence capability as a strategic organizational capability that enhances sensing, seizing, and reconfiguration processes within supply chain operations. The framework proposes that artificial intelligence capability improves logistics visibility, operational efficiency, predictive decision-making, and distribution network optimization, which collectively strengthen supply chain resilience. The study contributes to the literature by integrating artificial intelligence capability, smart logistics, distribution systems, and supply chain resilience into a unified conceptual model and by advancing research propositions for future empirical validation. The findings provide theoretical and managerial insights for organizations seeking to leverage artificial intelligence to develop adaptive, flexible, and resilient supply chains in increasingly uncertain and dynamic environments.