Abstract

Industry 4.0 is the information-intensive transformation that has taken place in manufacturing and its related activities. Blockchain Technology (BCT) is one such prominent component of the Industry 4.0 concept, which enables the workforce and end-users to access digital information at real-time, based on its data abstraction features. The aim of this paper is to analyze the determinants that influence the BCT adoption in supply chain management in the context of MSME firms in India. We consider the case of MSMEs, in developing economies such as India as MSMEs play a crucial role in enhancing the growth and development of such economies. The determinants to evaluate the implementation of BCT is based on the integrated conceptual model including features of Technology Adoption Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Technology-Organization-Environment (TOE) frameworks. Sixteen major determinants were selected by integrating the opinions of industry experts and from the literature. Since there are many conflicting criteria, the current paper utilizes the Multi-criteria Decision Making (MCDM) method, Fuzzy-Analytical Hierarchy Process (F-AHP) to prioritize these determinants so as to aid the decision-makers in the adoption of BCT in their supply chain. The present study integrates fuzzy theory with AHP method to incorporate the subjectivity of real-life decision making. The results of this study will aid various stakeholders, such as industry practitioners, policymakers and regulatory bodies to get a better understanding of benefits of BCT in the supply chain and provide good service to consumers such that the organization can stay ahead of the competition.

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