Abstract
The digital transformation of supply chains has become a critical area of research in recent years. This study delves into this domain by analysing relevant literature published within the past decade. The research explores how various digital tools and technologies, such as Artificial Intelligence (AI), Machine Learning (ML), Blockchain, and the Internet of Things (IoT), are being leveraged to optimize operations across the entire supply chain network. The research aims to identify key trends and challenges associated with digital transformation in supply chains. By understanding these factors, organizations can make informed decisions about adopting and implementing digital technologies to gain a competitive advantage and enhance their supply chain resilience. To prioritize these hurdles for a smoother DSC transition, the study utilizes a combined approach: Fuzzy AHP and Fuzzy TOPSIS. Fuzzy AHP assigns weights based on the importance of each barrier, while Fuzzy TOPSIS ranks them to guide effective resource allocation by management. The research identified and ranked the top five barriers, such as No Clear & Well-Defined Goals, Ill-Equipped Workforce, Integration with Existing Systems, Where to Start, and High Investment, providing valuable insights for leaders to prioritize and allocate resources for a successful DSC transformation.
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