The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
A supply chain transparency and sustainability technology appraisal model for blockchain technology
Abstract
Blockchain technology is a technology that can effectively support supply chain transparency. An important initial managerial activity is for organisations in supply chains to evaluate and select the most suitable blockchain technology. However, uncertainty and emphasis on sustainable transparency has made this appraisal more complex. This paper: (1) introduces blockchain technology performance measures incorporating various sustainable supply chain transparency and technical attributes; and (2) introduces a new hybrid group decision method, integrated hesitant fuzzy set and regret theory, for blockchain technology evaluation and selection. This method emphasises decision maker psychological characteristics and variation in decision maker opinions. An illustrative application and sensitivity analysis is introduced to aid supply chain managers and researchers understand the blockchain technology selection decision. Methodological and managerial implications associated with the decision tool and application are introduced. This research sets the foundation for significant future research in blockchain technologies evaluation in a supply chain environment.
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Citations
Cites
1 retracted
Leng, K., Bi, Y., Jing, L., Fu, H.-C., & Van Nieuwenhuyse, I. (2018) · Future Generation Computer Systems · doi:10.1016/j.future.2018.04.061 · Cited by 397
RetractedZadeh, L. A. (1965) · Information and Control · doi:10.1016/s0019-9958(65)90241-x · Cited by 67,855
Bitcoin: A Peer-to-Peer Electronic Cash System
Squarepants, S. (2008) · SSRN Electronic Journal · doi:10.2139/ssrn.3977007 · Cited by 11,148
Introduction to Grey system theory
Deng, J. (1989) · The journal of grey system/Journal of grey system · doi:10.5555/90757.90758 · Cited by 4,197
Blockchain technology and its relationships to sustainable supply chain management
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1533261 · Cited by 4,118
Self-citationRegret Theory: An Alternative Theory of Rational Choice Under Uncertainty
Loomes, G., & Sugden, R. (1982) · The Economic Journal · doi:10.2307/2232669 · Cited by 4,042 · cited 2×
“RT addresses this behavioural decision making issue under uncertainty (see Bell 1982; Loomes and Sugden 1982).”
BackgroundRegret in Decision Making under Uncertainty
Bell, D. E. (1982) · Operations Research · doi:10.1287/opre.30.5.961 · Cited by 2,977
1 Blockchain’s roles in meeting key supply chain management objectives
Kshetri, N. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.005 · Cited by 2,149 · cited 7×
“Blockchain technology has the potential to revolutionise business models in many economic sectors, especially logistics and supply chain management (Hofmann and Rüsch 2017; Kshetri 2018; Saberi, Kouhizadeh, and Sarkis 2018b).”
BackgroundMethodInfluentialDrazin, R. (1991) · The Journal of Technology Transfer · doi:10.1007/bf02371446 · Cited by 2,122
Industry 4.0 and the current status as well as future prospects on logistics
Hofmann, E., & Rüsch, M. (2017) · Computers in Industry · doi:10.1016/j.compind.2017.04.002 · Cited by 1,841
Cited by
Blockchain technology for bridging trust, traceability and transparency in circular supply chain
Centobelli, P., Cerchione, R., Vecchio, P. D., Oropallo, E., & Secundo, G. (2022) · Information & Management · doi:10.1016/j.im.2021.103508 · Cited by 820
The Effect of Blockchain Technology on Supply Chain Sustainability Performances
Park, A., & Li, H. (2021) · Sustainability · doi:10.3390/su13041726 · Cited by 455
Khan, S. A. R., Razzaq, A., Yu, Z., & Miller, S. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2853 · Cited by 404
RetractedLim, M. K., Li, Y., Wang, C., & Tseng, M.-L. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107133 · Cited by 382
Khan, S. A. R., Godil, D. I., Jabbour, C. J. C., Shujaat, S., Razzaq, A., & Yu, Z. (2025) · Annals of Operations Research · doi:10.1007/s10479-021-04275-x · Cited by 283
Metadata
- Authors
- Bai, C., & Sarkis, J.
- Venue
- International Journal of Production Research
- Publisher
- Informa UK Limited
- Published
- 2020-01-06
- Volume
- 58
- Issue
- 7
- Pages
- 2142-2162
- ISSN
- 0020-7543 (ISSN-L)
- 1366-588X
- OpenAlex
- W3000356754
- Cited by
- 648
- References
- 72
- FWCI
- 56.89
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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