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Adoption of blockchain in supply chain: an analysis of influencing factors

Dnyaneshwar Ghode (Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur, India)
Vinod Yadav (Department of Automobile Engineering, Manipal University Jaipur, Jaipur, India)
Rakesh Jain (Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur, India)
Gunjan Soni (Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur, India)

Journal of Enterprise Information Management

ISSN: 1741-0398

Article publication date: 22 April 2020

Issue publication date: 22 April 2020

3128

Abstract

Purpose

Blockchain technology (BT) is setting world-shattering standard in all type of transactions in business. BT has the prospective to drastically transform supply chain (SC). The main challenge is to enhance trust among the SC stakeholders. This paper aims to identify and prioritize the factors and its challenges that influence the adoptability of BT in SC. The prioritization of these factors will be helpful to the practitioners to decide the strategy of implementing the BT in SC.

Design/methodology/approach

The factors influencing adoption of BT are identified from the review of literature and expert opinion is used to rank the factors influencing the adoptability of BT in SC using grey relational analysis (GRA).

Findings

We identified and prioritized key factors: inter-organizational trust and relational governance as organizational challenge, data transparency and data immutability as technological challenge, interoperability and product type as operational challenge and social influence and behavioral intention as social challenge that influences adoptability of BT in SC.

Originality/value

The priority of these factors will guide future researchers and industry practitioners to plan rational and financial strategy for implementing BT in SC.

Keywords

Citation

Ghode, D., Yadav, V., Jain, R. and Soni, G. (2020), "Adoption of blockchain in supply chain: an analysis of influencing factors", Journal of Enterprise Information Management, Vol. 33 No. 3, pp. 437-456. https://doi.org/10.1108/JEIM-07-2019-0186

Publisher

:

Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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