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Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption

Abstract : Blockchain technology has been growing in importance and acceptability over the past few years. Yet, there is limited empirical research on the organizational and technology specific factors that play a critical role in driving its adoption in the supply chain. The purpose of this paper is to develop a comprehensive framework for blockchain adoption in the supply chain by identifying the enablers and empirically evaluating their interdependencies and impact on adoption. 20 enablers of blockchain adoption in the supply chain are identified using an extensive literature review and theoretical lenses from the Diffusion of Innovation (DOI) theory and the business technology adoption model developed by Iacovou, Benbassat and Dexter (1995). In the confirmatory phase, we employ the Decision-Making Trial and Evaluation Laboratory (DEMATEL) method to extract logic from data collected from 37 French experts about the impact of the enablers and their interdependencies. Our paper extends the multi-theoretic empirical studies to blockchain technology and identifies the enablers of blockchain adoption from technological, organizational, supply chain and external environment perspectives. Regarding the importance of the categories of enablers, we find that the relative advantage of the technology and the external pressure are the most prominent categories of enablers that impact blockchain adoption in the supply chain. Our analysis also shows the important causal role on adoption of the potential of blockchain to reduce transaction cost, the consumer interest in traceability data and the establishment of a regulatory framework for blockchain usage.
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Submitted on : Wednesday, March 9, 2022 - 3:08:32 PM
Last modification on : Saturday, August 6, 2022 - 3:22:31 AM

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Maher A.N. Agi, Ashish Kumar Jha. Blockchain technology in the supply chain: An integrated theoretical perspective of organizational adoption. International Journal of Production Economics, Elsevier, 2022, 247, pp.108458. ⟨10.1016/j.ijpe.2022.108458⟩. ⟨hal-03602937⟩

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