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An Empirical Study on the Innovation Sharing Express Box: Collaborative Consumption and the Overlay Network Design

Author

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  • Aijun Liu

    (Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China
    State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Xiaohui Ji

    (Department of Management Engineering, School of Economics & Management, Xidian University, Xi’an 710071, China)

  • Sang-Bing Tsai

    (Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China
    Research Center for Environment and Sustainable Development of China Civil Aviation, Civil Aviation University of China, Tianjin 300300, China)

  • Hui Lu

    (Tianhua College, Shanghai Normal University, Shanghai 201815, China)

  • Gang Du

    (Faculty of Economics and Management, East China Normal University, Shanghai 200062, China)

  • Feng Li

    (School of information, Beijing Wuzi University, Beijing 101149, China)

  • Guodong Li

    (Economics and Management College, Civil Aviation University of China, Tianjin 300300, China)

  • Jiangtao Wang

    (Zhongshan Institute, University of Electronic Science and Technology, Zhongshan 528400, China)

Abstract

Sharing express boxes is an effective disposal method for obsolete express packages. Its appearance also represents an unstoppable trend in the development of green logistics. This paper takes the sharing express box as research object and conducts two-stage research. In the first stage, the collaborative consumption theory and calculus are used to analyze the economic benefits that sharing express boxes bring to operators, that is, to demonstrate the feasibility of this business model from an economic perspective. In the second stage, the design of the overlay network is studied from the management science perspective. Firstly, an optimal coverage model is established considering the characteristics of the sharing express box, and cleaning costs, relocation costs, etc. are all integrated into the model. Secondly, the genetic algorithm is used to solve the model. A numerical example is described to illustrate the feasibility of the proposed method. In addition, sensitivity analysis investigates the effect of hub coverage change on the results. Finally, the theoretical guidance gained from this paper can be beneficial to the sustainable development of sharing express boxes.

Suggested Citation

  • Aijun Liu & Xiaohui Ji & Sang-Bing Tsai & Hui Lu & Gang Du & Feng Li & Guodong Li & Jiangtao Wang, 2018. "An Empirical Study on the Innovation Sharing Express Box: Collaborative Consumption and the Overlay Network Design," Sustainability, MDPI, vol. 10(7), pages 1-19, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:7:p:2201-:d:154850
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    References listed on IDEAS

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    Cited by:

    1. Song, Jiawen & Cai, Lanhui & Yuen, Kum Fai & Wang, Xueqin, 2023. "Exploring consumers’ usage intention of reusable express packaging: An extended norm activation model," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    2. Yi He & Qianqian Xu & Da Zhao, 2020. "Impacts of the BOPS Option on Sustainable Retailing," Sustainability, MDPI, vol. 12(20), pages 1-16, October.
    3. Shen, Famei & Li, Jie & Chen, Jianghang & Wang, Wangshuai, 2023. "Exploring young consumers’ intention to pay for shared express packaging: A multi-study analysis," Journal of Business Research, Elsevier, vol. 167(C).

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