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

被引:304
作者
Choi, Tsan-Ming [1 ]
Luo, Suyuan [2 ]
机构
[1] Hong Kong Polytech Univ, Business Div, Inst Text & Clothing, Hung Hom,Kowloon, Hong Kong, Peoples R China
[2] Shenzhen Univ, Coll Management, Inst Big Data Intelligent Management & Decis, Shenzhen, Guangdong, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Fashion business operations; Supply chain centralization; Emerging markets; Sustainable operations; Social welfare; QUICK RESPONSE; DUAL-CHANNEL; TECHNOLOGY; COORDINATION; MANUFACTURER;
D O I
10.1016/j.tre.2019.09.019
中图分类号
F [经济];
学科分类号
02 ;
摘要
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.
引用
收藏
页码:139 / 152
页数:14
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