Low-carbon decision-making model of online shopping supply chain considering the O2O model

被引:24
|
作者
Wu, Yisheng [1 ]
Lu, Ronghua [1 ]
Yang, Jing [2 ]
Xu, Feng [1 ]
机构
[1] Nanjing Inst Technol, Sch Ecn & Management, Nanjing, Peoples R China
[2] Nanjing Audit Univ, Sch Govt Audit, Nanjing, Peoples R China
关键词
Online-to-offline model; Online shopping supply chain; Low carbon; Decision model; CONSUMERS;
D O I
10.1016/j.jretconser.2020.102388
中图分类号
F [经济];
学科分类号
02 ;
摘要
A demand function of online shopping supply chain based on online-to-offline (O2O) fusion degree is proposed by considering the low-carbon awareness of online shoppers in view of the low-carbon decision making of supply chain in combination with the O2O operation background. On this basis, a low-carbon decision-making model based on online stores and their suppliers is established, and the application of the model is analyzed. Results show that the promotion of low-carbon operation is efficient when the consistency of online and offline operations of online stores and their suppliers is high. In addition, the decision making considering the cost of carbon information release is highly conducive to improving the low-carbon awareness of online shoppers if the low-carbon level of online shopping goods is lower than the low-carbon standard. Accordingly, the low-carbon operation of online shopping supply chain will be promoted.
引用
收藏
页数:7
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