Content area

Abstract

Blockchain technology is an emerging technology developed in recent years. It has powerful information traceability function. The blockchain technology plays an important role in monitoring product quality and responding to product safety problems. Under considering the traceability awareness of consumers and the cost of using the blockchain technology, should the supply chain adopt the blockchain technology? The research on this issue deserves great attentions. In this paper, for a three-stage supply chain consisting of a supplier, a manufacturer and a retailer, we study the optimal pricing strategies of the supply chain considering the traceability awareness of consumers in two scenarios. These two scenarios are: scenario N (i.e., the supply chain does not adopt the blockchain technology) and scenario B (i.e., the supply chain adopts the blockchain technology). On this basis, we discuss the conditions that the supply chain adopts the blockchain technology by comparing the optimal profits of the supply chain and its members in two scenarios. Further, we discuss the problem of supply chain coordination when adopting the blockchain technology. The results show that it is conditional for the supply chain to adopt the blockchain technology, and the condition is related to the traceability awareness of consumers, the production costs of the supplier and manufacturer, and the cost of using the blockchain technology. We also find that under a certain condition, the revenue sharing contract can realize a Pareto improvement for the supply chain that adopts the blockchain technology.

Details

Title
Considering the traceability awareness of consumers: should the supply chain adopt the blockchain technology?
Author
Zhi-Ping, Fan 1   VIAFID ORCID Logo  ; Xue-Yan, Wu 2 ; Bing-Bing, Cao 3 

 Northeastern University, Department of Information Management and Decision Sciences, School of Business Administration, Shenyang, China (GRID:grid.412252.2) (ISNI:0000 0004 0368 6968); Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, Shenyang, China (GRID:grid.412252.2) (ISNI:0000 0004 0368 6968) 
 Northeastern University, Department of Information Management and Decision Sciences, School of Business Administration, Shenyang, China (GRID:grid.412252.2) (ISNI:0000 0004 0368 6968) 
 Guangzhou University, School of Management, Guangzhou, China (GRID:grid.411863.9) (ISNI:0000 0001 0067 3588) 
Pages
837-860
Publication year
2022
Publication date
Feb 2022
Publisher
Springer Nature B.V.
ISSN
02545330
e-ISSN
15729338
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621423667
Copyright
© Springer Science+Business Media, LLC, part of Springer Nature 2020.