Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach
Publication date
2021Rights
© 2021 Taylor & Francis. The Version of Record of this manuscript has been published and is available in International Journal of Production Research 2021, https://doi.org/10.1080/00207543.2020.1868597.Peer-Reviewed
YesOpen Access status
openAccessAccepted for publication
25/11/2020
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Show full item recordAbstract
Blockchain is an emerging technology with a wide array of potential applications. This technology, which underpins cryptocurrency, provides an immutable, decentralised, and transparent distributed database of digital assets for use by firms in supply chains. However, not all firms are appropriately suited to adopt blockchain in the existing supply chain primarily due to their lack of knowledge on the benefits of this technology. Using Total Interpretive Structural Modelling (TISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC), this paper identifies the adoption barriers, examines the interrelationships between them to the adoption of blockchain technology, which has the potential to revolutionise supply chains. The TISM technique supports developing a contextual relationship based structural model to identify the influential barriers. MICMAC classifies the barriers in blockchain adoption based on their strength and dependence. The results of this research indicate that the lack of business awareness and familiarity with blockchain technology on what it can deliver for future supply chains, are the most influential barriers that impede blockchain adoption. These barriers hinder and impact businesses decision to establish a blockchain-enabled supply chain and that other barriers act as secondary and linked variables in the adoption process.Version
Accepted manuscriptCitation
Mathivathanan D, Mathiyazhagan K, Rana NP et al (2021) Barriers to the adoption of blockchain technology in business supply chains: a total interpretive structural modelling (TISM) approach. International Journal of Production Research. 59(11): 3338-3359.Link to Version of Record
https://doi.org/10.1080/00207543.2020.1868597Type
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1080/00207543.2020.1868597