IDEAS home Printed from https://ideas.repec.org/a/taf/tprsxx/v62y2024i20p7540-7558.html
   My bibliography  Save this article

Asset-light operation strategy for car-sharing model with vertical shareholding: financial leasing or instalment factoring

Author

Listed:
  • Kai Kang
  • Letian Zhang
  • Mengyu He
  • Zhiying Zhang

Abstract

Supply chain finance is an important way of realising the transformation of the asset-heavy operation mode in car-sharing services to an asset-light operation mode, by transforming the ownership cost into a variable cost. This study considers a service supply chain with vertical shareholding comprising a vehicle manufacturer and a car-sharing operator; further, it establishes financing decision-making models under financial leasing (FL) and instalment factoring finance (IFF) and explores the impact of profitability and shareholding ratios on FL and IFF. The results how that service profitability has a fundamental influence on financing decisions. The pooling effect and service satisfaction rate affect ownership costs and rental income, respectively. In turn, these factors jointly affect the choice of financing strategy. Moreover, there is a threshold of financing strategy choice related to the shareholding ratio: a large shareholding ratio means IFF is optimal, while when the ratio is low, FL is optimal. Finally, under certain conditions, a composite contract with revenue sharing and linear transfer payment for the optimal financing strategies can be adopted to improve supply chain performance. This study thus provides effective strategies for realising asset-light operation in car sharing by transforming ownership cost into variable cost.

Suggested Citation

  • Kai Kang & Letian Zhang & Mengyu He & Zhiying Zhang, 2024. "Asset-light operation strategy for car-sharing model with vertical shareholding: financial leasing or instalment factoring," International Journal of Production Research, Taylor & Francis Journals, vol. 62(20), pages 7540-7558, October.
  • Handle: RePEc:taf:tprsxx:v:62:y:2024:i:20:p:7540-7558
    DOI: 10.1080/00207543.2022.2112104
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00207543.2022.2112104
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/00207543.2022.2112104?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.

    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:62:y:2024:i:20:p:7540-7558. 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.