IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v61y2023i2p410-426.html
   My bibliography  Save this article

Pricing strategies for logistics robot sharing platforms

Author

Listed:
  • Shuai Liu
  • Guowei Hua
  • T.C.E. Cheng
  • Tsan-Ming Choi
  • Jing-Xin Dong

Abstract

Sharing platforms play a key role in the development of the sharing economy. This paper considers a logistics robot sharing platform comprising logistics robot providers and customers that need to rent robots. We develop an analytical model to investigate pricing strategies of a sharing platform, incorporating service response speed and additional services. Afterward, we examine the impact and value of the logistics robot sharing platform. We interestingly find that a high service response speed does not necessarily bring benefits to the platform. In addition, when customers are sensitive to the additional services, despite the increased cost of providing additional services, the platform can still profit from them. Finally, we generate additional insights by exploring two extended models, namely (i) the model with endogenous additional services, and (ii) the case considering the service response speed.

Suggested Citation

  • Shuai Liu & Guowei Hua & T.C.E. Cheng & Tsan-Ming Choi & Jing-Xin Dong, 2023. "Pricing strategies for logistics robot sharing platforms," International Journal of Production Research, Taylor & Francis Journals, vol. 61(2), pages 410-426, January.
    • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:2:p:410-426
    DOI: 10.1080/00207543.2021.2009138
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2021.2009138
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00207543.2021.2009138?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xu, Yuqiu & Wang, Jia & Cao, Kaiying, 2023. "Logistics mode strategy of firms selling fresh products on e-commerce platforms with private brand introduction," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:tprsxx:v:61:y:2023:i:2:p:410-426. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TPRS20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.