Identifying the Factors Influencing AI Adoption in Supply Chain Management to Resolve Supply Chain Disruptions

This research aims to identify the factors influencing AI adoption in supply chain to resolve supply chain disruptions.It is undeniable that the adoption of AI in the supply chain could be essential to resolve supply chain disruptions.Supply chain disruptions could be defined as unexpected events such as earthquakes, the COVID-19 pandemic, and the Suez Canal crisis.To promote the adoption of AI in supply chain management and leverage its benefits, it is important to investigate the factors influencing AI adoption in supply chain to resolve supply chain disruptions.This research explores the multifaceted dynamics of adopting artificial intelligence (AI) in supply chain management through the lens of the Technology-Organization-Environment (TOE) framework.Drawing from a comprehensive review of existing literature, the study identifies critical factors influencing AI adoption across three key contexts: technological, organizational, and environmental.Within the technological context, compatibility and complexity emerge as pivotal factors, facilitating seamless integration of AI with existing systems while addressing implementation challenges through comprehensive training and user-friendly interfaces.Organizational factors, particularly top management support, are found to play a decisive role in driving AI initiatives by ensuring strategic