Blockchain adoption in automotive supply chain: A systematic literature review amalgamated with bibliometric analysis technique and future research directions

Abstract

In the recent years, automotive industry is undergoing through a transformation phase with the successful integration of advanced technologies, blockchain technology emerges as one of the evolutionary technologies for improving transparency, traceability, and data integrity within supply chain processes. In this context, this study aims to present a mixed-methodology approach that combines a bibliometric analysis technique and a systematic literature review (SLR) on the adoption of blockchain technology in the automotive supply chain. Using systematic literature review of existing studies, the study provides a comprehensive analysis of the current landscape of blockchain adoption in the automotive sector and synthesize results using context-intervention-mechanism-outcome (CIMO) framework. Throughout the research process, bibliometric analysis was carried out to support and confirm the research findings additionally. This approach was applied steadily, which resulted in specialized and highly consistent outcomes. The findings also identify key themes, challenges, and benefits associated with blockchain implementation, shedding light on its potential to revolutionize traditional automotive supply chain practices. Additionally, the paper highlights gaps in the current literature, providing scope for future research following the framework of theory-context-method (TCM). This synthesis of knowledge helps to explore the implications of blockchain technology in the automotive supply chain in-depth. Also, the study serves as a foundation for the policymakers, practitioners, and researchers navigating the evolving intersection of blockchain and the automotive industry.