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

Chunguang Bai and Joseph Sarkis

International Journal of Production Research, 2020, vol. 58, issue 7, 2142-2162

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.

Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (93)

Downloads: (external link)
http://hdl.handle.net/10.1080/00207543.2019.1708989 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:58:y:2020:i:7:p:2142-2162

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/TPRS20

DOI: 10.1080/00207543.2019.1708989

Access Statistics for this article

International Journal of Production Research is currently edited by Professor A. Dolgui

More articles in International Journal of Production Research from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().