IDEAS home Printed from https://ideas.repec.org/a/taf/uiiexx/v50y2018i7p627-642.html
   My bibliography  Save this article

Opaque pricing over vertically differentiated servers

Author

Listed:
  • Xin Geng

Abstract

We study a pricing problem for a service firm facing delay-sensitive customers. Servers are quality-differentiated, where the quality can be improved based on the servers’ past experience. In such cases, the commonly used pricing scheme fails to effectively facilitate the quality improvement for servers and therefore impedes the firm’s future revenue increase. Motivated by the probabilistic selling strategy, we propose another pricing scheme where the firm does not disclose the server assignment to the customers until payment is made. With respect to the long-run total revenue, we compare the two schemes and establish the superiority of the one that we propose. Moreover, we investigate how the revenue advantage from the proposed pricing scheme is affected by the quality improvement process and the degree of vertical differentiation, both of which are important features in the setting. Finally, we discuss the generalized model with heterogeneous arrival classes.

Suggested Citation

  • Xin Geng, 2018. "Opaque pricing over vertically differentiated servers," IISE Transactions, Taylor & Francis Journals, vol. 50(7), pages 627-642, July.
  • Handle: RePEc:taf:uiiexx:v:50:y:2018:i:7:p:627-642
    DOI: 10.1080/24725854.2018.1434332
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/24725854.2018.1434332
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/24725854.2018.1434332?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. Guo, Xiaolong & Bian, Junsong & Wu, Peiyan & Shi, Victor & Chen, Huangen, 2023. "Probabilistic product design with regret-anticipated consumers," International Journal of Production Economics, Elsevier, vol. 263(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:uiiexx:v:50:y:2018:i:7:p:627-642. 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/uiie .

    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.