The Role of Artificial Intelligence in Enhancing the Resilience of Corporate Supply Chains to Organizational Adaptation Strategies in Facing Global Disruption

Abstract

Global disruptions such as pandemics, geopolitical tensions, and economic volatility have significantly challenged the stability of global supply chains, forcing organizations to develop more resilient operational systems and adaptive strategic capabilities. In this context, Artificial Intelligence (AI) has emerged as an important technological tool that enables organizations to improve predictive capabilities, enhance operational visibility, and support more effective decision-making processes. This study aims to analyze the role of Artificial Intelligence in enhancing corporate supply chain resilience and its relationship with organizational adaptation strategies in responding to global disruptions. The research employs a quantitative approach using a cross-sectional survey method involving managers and supply chain professionals from organizations that have implemented AI-based technologies in their operational systems. Data were collected through structured questionnaires and analyzed using Structural Equation Modeling (SEM) to examine the relationships among AI utilization, supply chain resilience, and organizational adaptation strategies. The results indicate that Artificial Intelligence utilization significantly enhances supply chain resilience through improved predictive analytics, real-time monitoring, and automated decision-making capabilities. Furthermore, stronger supply chain resilience positively influences organizational adaptation strategies, enabling companies to develop strategic flexibility and more effective responses to global disruptions. The study concludes that integrating Artificial Intelligence with adaptive organizational strategies plays a crucial role in strengthening supply chain resilience and improving organizational capability to navigate uncertainty in the global business environment