AI-ENHANCED DEEPFAKE SIMULATIONS FOR RESILIENT SCM: EXPERT PERSPECTIVES TO VULNERABLE DISRUPTIONS

Abstract The cutting-edge Artificial Intelligence (AI) in deepfake technology offers opportunities and challenges for Supply Chain Management (SCM). This study examines whether deepfake technology can improve efficacy and reduce risks in supply chain management structures. Using a survey method in a descriptive research design, we gathered information from 514 supply chain industry experts using convenience sampling. This study used Likert scaling to measure opinions on the integration of deepfake technology into SCM operations. Multiple Regression (MR) was employed to analyze the impact of deepfake technology on efficiency, risk management, and overall performance in supply chain management. This study indicates that deepfake technology has significant potential to enhance SCM efficiency by improving training simulations, optimizing logistics planning, and enhancing crisis management. The MR analysis indicates a connection between effective deepfake technology utilization and improved SCM efficiency, emphasizing the significance of risk management strategies. The Suggestions involve using advanced detection tools, setting precise ethical standards, and promoting the ongoing professional growth of SCM challenges. This study provides important information on the possible advantages and threats of deepfake technology in supply chain management, laying the groundwork for future investigations and progress in this rapidly changing area.