IDEAS home Printed from https://ideas.repec.org/a/taf/tjorxx/v76y2025i9p1840-1865.html
   My bibliography  Save this article

Channel mode selection and blockchain strategy for a capital-constrained manufacturer

Author

Listed:
  • Kebing Chen
  • Liwei Xu
  • Shengbin Wang
  • Dong Lei

Abstract

We study the optimal channel selection and blockchain strategy of a capital-constrained manufacturer who sells the green product through an online platform. Blockchain technology (BCT) can be used by the manufacturer to increase consumer confidence in the value of green product. We first show that the manufacturer’s financing strategy is characterized by two thresholds that depend on the manufacturer’s channel selection and blockchain strategy. BCT increases wholesale and retail prices, but it does not always increase product greenness and demand. We find that the manufacturer’s ability to bear the blockchain cost correlates with his financial standing as well as the platform’s operation mode. Furthermore, we show that the agency mode should be selected by the manufacturer only when the commission rate falls below a specified threshold. We also examine the impact of commission rate on the platform’s operational strategy and channel consistency. Furthermore, under the agency model, we show that there is always a “win-win” situation in green cost-sharing cooperation regardless of the manufacturer’s financial state. However, such a “win-win” situation only exists in financing circumstances under the reselling mode. Finally, the extended model explores the relationship between channel strategies and risk preferences of the manufacturer under demand uncertainty.

Suggested Citation

  • Kebing Chen & Liwei Xu & Shengbin Wang & Dong Lei, 2025. "Channel mode selection and blockchain strategy for a capital-constrained manufacturer," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 76(9), pages 1840-1865, September.
  • Handle: RePEc:taf:tjorxx:v:76:y:2025:i:9:p:1840-1865
    DOI: 10.1080/01605682.2024.2445756
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01605682.2024.2445756
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01605682.2024.2445756?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

    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:tjorxx:v:76:y:2025:i:9:p:1840-1865. 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/tjor .

    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.