Assessing the Role of Artificial Intelligence in Enhancing Supply Chain Resilience and Disruption Management: A Case Study of the Ghana Ports and Harbours Authority, Takoradi

Abstract

Global supply chains are increasingly exposed to disruptions caused by pandemics, geopolitical uncertainties, technological shifts, and climate-related events. These disruptions place significant pressure on ports, which serve as critical nodes in international trade and logistics. Artificial Intelligence (AI) has emerged as a strategic tool for enhancing supply chain resilience and strengthening disruption management capabilities. This study assesses the role of AI in enhancing supply chain resilience and disruption management at the Ghana Ports and Harbours Authority (GPHA), Takoradi. The research examines how AI applications—including predictive analytics, automation, and real-time monitoring—support risk anticipation, improve operational flexibility, and facilitate faster recovery from disruptions. Employing a mixed-methods approach, data will be collected from port officials, supply chain stakeholders, and operational records to evaluate the extent and effectiveness of AI integration in GPHA’s operations. The findings are expected to provide empirical evidence on the contribution of AI to strengthening port resilience and managing disruption impacts. The study further aims to highlight challenges hindering AI adoption and propose strategic measures to optimise its use in the Ghanaian port context. The results will contribute to both academic discourse and practical decision-making, offering insights for policymakers, port authorities, and logistics managers seeking to build adaptive and sustainable supply chains in emerging economies.