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.
| Original language | English |
|---|---|
| Peer-reviewed scientific journal | International Journal of Production Research |
| Volume | 58 |
| Issue number | 7 |
| Pages (from-to) | 2142-2162 |
| Number of pages | 21 |
| ISSN | 0020-7543 |
| DOIs | |
| Publication status | Published - 06.01.2020 |
| MoE publication type | A1 Journal article - refereed |
Keywords
- 512 Business and Management
- blockchain technology
- hesitant fuzzy set
- regret theory
- sustainability
- transparency
Areas of Strength and Areas of High Potential (AoS and AoHP)
- AoHP: Humanitarian and societal logistics
