A supply chain transparency and sustainability technology appraisal model for blockchain technology

Chunguang Bai*, Joseph Sarkis

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)

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 languageEnglish
Peer-reviewed scientific journalInternational Journal of Production Research
Volume58
Issue number7
Pages (from-to)2142-2162
Number of pages21
ISSN0020-7543
DOIs
Publication statusPublished - 06.01.2020
MoE publication typeA1 Journal article - refereed

Keywords

  • 512 Business and Management
  • blockchain technology
  • hesitant fuzzy set
  • regret theory
  • sustainability
  • transparency

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