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

Tsan-Ming Choi and Suyuan Luo

Transportation Research Part E: Logistics and Transportation Review, 2019, vol. 131, issue C, 139-152

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.

Keywords: Fashion business operations; Supply chain centralization; Emerging markets; Sustainable operations; Social welfare (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (104)

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DOI: 10.1016/j.tre.2019.09.019

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