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

Author

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  • Wu, Yisheng
  • Lu, Ronghua
  • Yang, Jing
  • Xu, Feng

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.

Suggested Citation

  • Wu, Yisheng & Lu, Ronghua & Yang, Jing & Xu, Feng, 2021. "Low-carbon decision-making model of online shopping supply chain considering the O2O model," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
  • Handle: RePEc:eee:joreco:v:59:y:2021:i:c:s0969698920313965
    DOI: 10.1016/j.jretconser.2020.102388
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    References listed on IDEAS

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    Cited by:

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    2. Xiaojiao Qiao & Shimeng Xu & Dan Shi & Xiukun Zhao, 2023. "Data-Driven Sustainable Supply Chain Decision Making in the Presence of Low Carbon Awareness," Sustainability, MDPI, vol. 15(12), pages 1-16, June.
    3. Wan Qin & Peng Yuhan & Yu Cuiting & Huang Yu & Liu Danping, 2023. "Optimal Strategies of the Online-to-Offline Instant Delivery Service of Grocery Retailers," SAGE Open, , vol. 13(4), pages 21582440231, December.
    4. Pei-Ju Wu, 2023. "O2O switching determinants and successful drivers in omnichannel retailing services," Service Business, Springer;Pan-Pacific Business Association, vol. 17(3), pages 771-788, September.
    5. Shaojian Qu & Hui Yang & Ying Ji, 2021. "Low-carbon supply chain optimization considering warranty period and carbon emission reduction level under cap-and-trade regulation," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(12), pages 18040-18067, December.
    6. Farheen Naz & Anil Kumar & Abhijit Majumdar & Rohit Agrawal, 2022. "Is artificial intelligence an enabler of supply chain resiliency post COVID-19? An exploratory state-of-the-art review for future research," Operations Management Research, Springer, vol. 15(1), pages 378-398, June.
    7. Bingbing Cao & Tianhui You & Chunyi Liu & Jian Zhao, 2021. "Pricing and Channel Coordination in Online-to-Offline Supply Chain Considering Corporate Environmental Responsibility and Lateral Inventory Transshipment," Mathematics, MDPI, vol. 9(20), pages 1-30, October.
    8. Sarkar, Biswajit & Kar, Sumi & Basu, Kajla & Seo, Yong Won, 2023. "Is the online-offline buy-online-pickup-in-store retail strategy best among other product delivery strategies under variable lead time?," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    9. Davoudi, Zahra & Seifbarghy, Mehdi & Sarkar, Mitali & Sarkar, Biswajit, 2023. "Effect of bargaining on pricing and retailing under a green supply chain management," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    10. Sarkar, Mitali & Dey, Bikash Koli & Ganguly, Baishakhi & Saxena, Neha & Yadav, Dharmendra & Sarkar, Biswajit, 2023. "The impact of information sharing and bullwhip effects on improving consumer services in dual-channel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

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