Behavioral theories in inventory management and forecasting: Driving supply chain resilience

Abstract

Supply chains play an essential role in ensuring operational efficiency and economic stability, yet they face challenges such as the "bullwhip effect," which amplifies demand fluctuations. Addressing these issues requires innovative strategies that integrate behavioral theories with technological advancements. This systematic review evaluates various approaches and synthesizes them into an Integrated Theoretical Framework for Enhancing Supply Chain Performance. Following PRISMA guidelines, peer-reviewed articles published from 2010 to 2024 were analyzed, focusing on behavioral theories in supply chain management. Key findings highlight that integrating theories, such as the Theory of Planned Behavior (TPB), improves demand forecasting accuracy and reduces the bullwhip effect by emphasizing behavioral intentions and social influences. Modern technologies, including AI and IoT, enhance real-time data handling and decision-making. This framework merges psychological insights and technology to improve supply chain resilience and efficiency.