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

Yisheng Wu, Ronghua Lu, Jing Yang and Feng Xu

Journal of Retailing and Consumer Services, 2021, vol. 59, issue C

Abstract: 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.

Keywords: Online-to-offline model; Online shopping supply chain; Low carbon; Decision model (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:joreco:v:59:y:2021:i:c:s0969698920313965

DOI: 10.1016/j.jretconser.2020.102388

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