IDEAS home Printed from https://ideas.repec.org/a/ids/ijrevm/v4y2010i1p42-68.html
   My bibliography  Save this article

Fencing in the context of revenue management

Author

Listed:
  • Michael Zhang
  • Peter C. Bell

Abstract

Tools to restrict customer migration across segments are referred to as 'fences' in revenue management. However, most fences are not perfect and allow some degree of demand leakage from the high-priced market segment to the low-priced segment. In this paper, we lay out the theoretical foundation of fencing, develop the basic assumption of imperfect fences, and present an approach to modelling demand leakage among different market segments. We next propose cost functions representing the effort devoted to fences, and establish the connection between such costs and revenue gain created from market segmentation. Furthermore, we illustrate the effect of fencing using an analytical model. Specifically, we investigate the impact of fences on firms' simultaneous price and inventory decisions. We access the gain from market segmentation in the presence of imperfect fences, and show how to determine the optimal cost that should be devoted to fencing.

Suggested Citation

  • Michael Zhang & Peter C. Bell, 2010. "Fencing in the context of revenue management," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 4(1), pages 42-68.
  • Handle: RePEc:ids:ijrevm:v:4:y:2010:i:1:p:42-68
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=30030
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    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. Braouezec, Yann, 2012. "Customer-class pricing, parallel trade and the optimal number of market segments," International Journal of Industrial Organization, Elsevier, vol. 30(6), pages 605-614.
    2. Raza, Syed Asif, 2015. "An integrated approach to price differentiation and inventory decisions with demand leakage," International Journal of Production Economics, Elsevier, vol. 164(C), pages 105-117.
    3. Raza, Syed Asif & Rathinam, Sivakumar, 2017. "A risk tolerance analysis for a joint price differentiation and inventory decisions problem with demand leakage effect," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 129-145.
    4. Li, Juan & Tang, Ou, 2012. "Capacity and pricing policies with consumer overflow behavior," International Journal of Production Economics, Elsevier, vol. 140(2), pages 825-832.

    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:ids:ijrevm:v:4:y:2010:i:1:p:42-68. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=99 .

    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.