The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era

被引:318
作者
Choi, Tsan-Ming [1 ]
Wen, Xin [2 ]
Sun, Xuting [3 ]
Chung, Sai-Ho [2 ]
机构
[1] Hong Kong Polytech Univ, Inst Text & Clothing, Business Div, Hung Hom,Kowloon, Hong Kong, Peoples R China
[2] Hong Kong Polytech Univ, Dept Ind & Syst Engn, Kowloon, Hung Hom, Hong Kong, Peoples R China
[3] Shanghai Univ, SHU UTS SILC Business Sch, Shanghai 201899, Peoples R China
关键词
Blockchain technology; Mean-variance approach; Risk analysis; Supply chain operations; QUICK RESPONSE; RANDOM YIELD; COORDINATION; MANAGEMENT; STRATEGY; DEMAND; INFORMATION; DISRUPTIONS; CONTRACTS; DECISIONS;
D O I
10.1016/j.tre.2019.05.007
中图分类号
F [经济];
学科分类号
02 ;
摘要
Supply chain operations have entered the digital era with the emergence of blockchain technology. In this paper, we discuss how the mean-variance (MV) approach can be applied to explore global supply chain operations risk with air logistics in the blockchain technology era. To be specific, we examine the related literature from four areas, namely air-logistics operations, demand management, supply management, and supply-demand coordination. We propose how the blockchain technology can be applied to facilitate the implementation of mean-variance risk analysis for global supply chain operations. We then highlight several promising areas for further studies. A future research agenda is developed.
引用
收藏
页码:178 / 191
页数:14
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