An integrated framework to prioritize blockchain-based supply chain success factors

Shoaib, M., Lim, M. K. and Wang, C. (2020) An integrated framework to prioritize blockchain-based supply chain success factors. Industrial Management and Data Systems, 120(11), pp. 2103-2131. (doi: 10.1108/IMDS-04-2020-0194)

Full text not currently available from Enlighten.

Abstract

Purpose: The purpose of this study is to identify and prioritize the factors that can positively influence the implementation of a blockchain-based supply chain via an integrated framework. To the best of the authors' knowledge, no previous study has focused on prioritizing these factors. Design/methodology/approach: First, this study conducts a multivocal literature review, and a total of 48 success factors (SFs) are identified and mapped into 11 categories. Second, the identified success factors and their categories are further validated by industry practitioners using a questionnaire survey approach. Finally, this study applies an analytical hierarchy process to prioritize the identified SFs and their categories and to assess their importance for successful blockchain implementation in the supply chain management process. Findings: The “Accessibility” category has the highest importance, and the “Overall efficiency” category has the second highest rank. As far as the success factors are concerned, “Trackability” and “Traceability” are considered to be the prime success factors of a blockchain-based supply chain. The taxonomy of the categories and their success factors provide an outline for supply chain organizations to establish a strategy to implement blockchain technology. Practical implications: This technology can be practically applied in a sustainable supply chain. Another vital application of this blockchain technology is in banking and finance because of the blockchain's immutable data recording property. Originality/value: To the best of the authors' knowledge, there is no previous study focused on building a taxonomic model that allows supply chain organizations to compare this paper's model with existing models and outline the necessary actions to improve supply chain activities. The questionnaire-based survey developed to validate the success factors in real-world practices and the factors' prioritization can help academic researchers and industrial practitioners to set their strategic goals accordingly.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Lim, Professor Ming
Authors: Shoaib, M., Lim, M. K., and Wang, C.
College/School:College of Social Sciences > Adam Smith Business School > Management
Journal Name:Industrial Management and Data Systems
Publisher:Emerald
ISSN:0263-5577
ISSN (Online):1758-5783
Published Online:16 October 2020

University Staff: Request a correction | Enlighten Editors: Update this record