A three-phase framework for mapping barriers to blockchain adoption in sustainable supply chain
Industrial Management & Data Systems
ISSN: 0263-5577
Article publication date: 31 October 2024
Issue publication date: 2 January 2025
Abstract
Purpose
Blockchain technology is one of the major contributors to supply chain sustainability because of its inherent features. However, its adoption rate is relatively low due to reasons such as the diverse barriers impeding blockchain adoption. The purpose of this study is to identify blockchain adoption barriers in sustainable supply chain and uncovers their interrelationships.
Design/methodology/approach
A three-phase framework that combines machine learning (ML) classifiers, BORUTA feature selection algorithm, and Grey-DEMATEL method. From the literature review, 26 potential barriers were identified and evaluated through the performance of ML models with accuracy and f-score.
Findings
The findings reveal that feature selection algorithm detected 15 prominent barriers, and random forest (RF) classifier performed with the highest accuracy and f-score. Moreover, the performance of the RF increased by 2.38% accuracy and 2.19% f-score after removing irrelevant barriers, confirming the validity of feature selection algorithm. An RF classifier ranked the prominent barriers and according to ranking, financial constraints, immaturity, security, knowledge and expertise, and cultural differences resided at the top of the list. Furthermore, a Grey-DEMATEL method is employed to expose interrelationships between prominent barriers and to provide an overview of the cause-and-effect group.
Practical implications
The outcome of this study can help industry practitioners develop new strategies and plans for blockchain adoption in sustainable supply chains.
Originality/value
The research on the adoption of blockchain technology in sustainable supply chains is still evolving. This study contributes to the ongoing debate by exploring how practitioners and decision-makers adopt blockchain technology, developing strategies and plans in the process.
Keywords
Acknowledgements
The third author gratefully acknowledges the support provided by Scientific and Technological Research Council of Turkey under the grant number 1059B191801214 for this research.
Citation
Ali, M.R., Khan, S.A., Kayikci, Y. and Mubarik, M.S. (2025), "A three-phase framework for mapping barriers to blockchain adoption in sustainable supply chain", Industrial Management & Data Systems, Vol. 125 No. 1, pp. 306-336. https://doi.org/10.1108/IMDS-03-2024-0257
Publisher
:Emerald Publishing Limited
Copyright © 2024, Emerald Publishing Limited