Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes

Tsan Ming Choi, Suyuan Luo

Research output: Journal article publicationJournal articleAcademic researchpeer-review

70 Citations (Scopus)

Abstract

In emerging markets, there are data quality problems. In this paper, we establish theoretical models to explore how data quality problems affect sustainable fashion supply chain operations. We start with the decentralized supply chain and find that poor data quality lowers supply chain profit and social welfare. We consider the implementation of blockchain to help and identify the situation in which blockchain helps enhance social welfare but brings harm to supply chain profitability. We propose a government sponsor scheme as well as an environment taxation waiving scheme to help. We further extend the study to the centralized supply chain setting.

Original languageEnglish
Pages (from-to)139-152
Number of pages14
JournalTransportation Research Part E: Logistics and Transportation Review
Volume131
DOIs
Publication statusPublished - Nov 2019

Keywords

  • Emerging markets
  • Fashion business operations
  • Social welfare
  • Supply chain centralization
  • Sustainable operations

ASJC Scopus subject areas

  • Business and International Management
  • Civil and Structural Engineering
  • Transportation

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