Supply Chain Risk Management: Theory and Practice

Abstract

This research investigates the effective management of supply chain risks in both theory and practice, considering the evolving nature of disruptions and the increasing complexity of global supply chains. The study examines the limitations of traditional risk management approaches in today's volatile environment, emphasizing the need for a dynamic and adaptive approach. It analyzes the critical role of collaboration and communication among all supply chain stakeholders, including suppliers, manufacturers, distributors, and customers. The research explores the potential of technology, such as data analytics, artificial intelligence, and blockchain, to enhance risk identification, assessment, mitigation, and response. Furthermore, it advocates for a holistic approach to SCRM, integrating it into all aspects of supply chain management, from design and sourcing to production and distribution. By bridging the gap between theory and practice, the research provides practical insights and case studies, incorporating emerging trends in SCRM, such as the use of artificial intelligence, blockchain technology, and big data analytics. It specifically addresses the unique challenges of managing risks in complex, global supply chains. The study aims to develop a comprehensive framework for understanding and implementing SCRM, offering practical guidelines and tools for identifying, assessing, and mitigating supply chain risks. It will also present case studies illustrating successful SCRM practices in different industries and provide recommendations for improving SCRM capabilities in organizations.