Avinash Chauhan
Vinod Gupta School of Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India.

M. Vimala Rani
Vinod Gupta School of Management, Indian Institute of Technology Kharagpur, Kharagpur, West Bengal, India.

DOI https://doi.org/10.33889/IJMEMS.2025.10.3.033

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Abstract

In a highly complex, globally dispersed, and strictly regulated industry such as the automotive supply chain, blockchain technology offers fertile ground to address long-standing inefficiencies and security concerns. Integration of blockchain technology can provide transformative benefits in the form of increased transparency, traceability, security, and operational efficiency. These are the critical elements that will help overcome problems such as counterfeiting, regulatory compliance, and real-time data accuracy, thereby leading to reduced operational costs and resilience in the supply chain. The current study aims to investigate the core facilitators of adopting blockchain technology within the automotive supply chain, using a multidisciplinary approach that involves the application of TISM, MICMAC analysis, and AHP with TOPSIS analysis. Using expert assessments and empirical evidence, this research outlines crucial enablers-increased transparency and traceability, improved security, cost benefits, and operational excellence-as crucial for the acceptance of blockchain technology. Standardization, interoperability, and governance frameworks are equally emphasized to support successful adoption. Results demonstrate the transformational ability of blockchain in modernizing the automotive supply chain management; they offer much-needed insight to practitioners and executives about how best to integrate such a solution into the strategic plans.

Keywords- Blockchain, Automotive industry, Enablers, AHP-TOPSIS, TISM-MICMAC.

Citation

Chauhan, A., & Rani, M. V (2025). Strategic Insights into Blockchain Adoption in Automotive Supply Chains: A Comparative AHP-TOPSIS and TISM-MICMAC Analysis. International Journal of Mathematical, Engineering and Management Sciences, 10(3), 618-653. https://doi.org/10.33889/IJMEMS.2025.10.3.033.