Investigating Organizational Transformations on the Path to Sustainable Supply Chain 4.0 Implementation

This research investigates the multifaceted landscape of organizational transformations in the context of Sustainable Supply Chain 4.0 (SSC 4.0). In an era marked by rapid technological advancements and a heightened focus on sustainability, it is crucial to understand how organizations navigate and adapt to the evolving paradigm of SSC 4.0. The study identifies significant research gaps, including inadequate coverage of key drivers, the absence of a generalized model applicable across various industries, underutilization of the Neutrosophic Best‒Worst Method (NBWM) for driver prioritization, and a lack of comprehensive studies addressing the extraction, validation, prioritization, and interrelationships of these drivers. This research presents novel contributions by utilizing the Neutrosophic Best‒Worst Method (NBWM) in the context of SSC 4.0, providing a pioneering approach to driver prioritization. The development of a generalized model applicable across diverse industries also represents a significant advancement, filling a critical gap in the existing literature. The study aims to systematically address these gaps by extracting drivers of SSC 4.0, validating them using the Delphi method, prioritizing the validated drivers through the NBWM, and uncovering the interrelationships among these drivers. These contributions lead to a deeper understanding of the critical components driving SSC 4.0 and provide a robust framework for future research in sustainable supply chain transformations. By achieving these objectives, this research offers a comprehensive understanding of the critical components driving SSC 4.0 and presents a robust methodological framework that can be applied to similar studies in the broader context of organizational transformations towards sustainable supply chains.