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

By Tsan-Ming (Jason) Choi, Suyuan Luo. Transportation Research Part E: Logistics and Transportation Review, 2019

347 citations recorded by the source corpus.

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.

Subfields: Economics and Econometrics, Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/150adea5a18de46f887f982606ac915708fd3281

How researchers see this paper

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In Economics and Econometrics

  1. Rudrajeet Pal
  2. Samuel Fosso Wamba

In Information Systems

  1. Marc de Bourmont
  2. Renato Telles
  3. Samuel Fosso Wamba
  4. Maciel Manoel de Queiroz
  5. Yogesh Kumar Dwivedi

In Strategy and Management

  1. Renato Telles
  2. Marc de Bourmont
  3. Samuel Fosso Wamba
  4. Maciel Manoel de Queiroz

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