Enhancing Humanitarian Supply Chain Resilience Through AI: The Moderating Role of Artificial Intelligence in Achieving Sustainable Development Goals (SDGs) in Jordan

Abstract

AI has transformed crisis management throughout humanitarian supply chains by making organizations capable of attaining SDGs with efficiency. This study investigates how AI brings benefits to supply chain agility alongside integration as well as sustainable logistics and readiness against disasters in humanitarian operations across Jordan. The research used Structural Equation Modeling technique to evaluate data obtained from 321 humanitarian supply chain professionals. The research results demonstrate AI serves as a positive moderator that enhances the connection between supply chain agility (β = 0.21, p < 0.001) and supply chain integration (β = 0.25, p < 0.001), sustainable logistics (β = 0.27, p < 0.001), and disaster preparedness (β = 0.22, p < 0.001) which helps improve humanitarian supply chain performance. This study establishes predictive decision-making and real-time tracking along with optimized resource distribution to be fundamental features enabled by AI-driven analytics. The integration of AI improves coordination between non-government organizations and governmental agencies and logistics providers which results in better crisis response capabilities. The research delivers theoretical value to AI-driven supply chain literature and provides useful recommendations to policy makers together with logistics managers and aid organizations who aim to maximize their emergency relief performance. AI technologies require sustained funding to enhance humanitarian operations by making them more efficient and transparent as well as sustainable.