Artificial Intelligence in Marine Insurance Risk Assessment: Evidence from the Moroccan Maritime Sector

This study examines the role of artificial intelligence (AI) in marine insurance within the Moroccan maritime sector. Drawing on Dynamic Capabilities Theory, the study investigates the relationships among AI Adoption, Risk Assessment Accuracy, Fraud Detection Capability, Claim Processing Efficiency, and Customer Trust, while also examining the mediating role of these operational capabilities. A quantitative survey was conducted among maritime and insurance professionals operating within the Tangier Med and Casablanca port ecosystems, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that AI Adoption is positively associated with Risk Assessment Accuracy, Fraud Detection Capability, and Claim Processing Efficiency. These operational capabilities are also positively associated with Customer Trust and function as significant mediating pathways between AI Adoption and stakeholder confidence. The study contributes to the emerging literature on AI applications in marine insurance by providing empirical evidence from an emerging maritime economy and offers theoretical and practical implications for insurers, maritime operators, and policymakers.