IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v13y1994i4p327-350.html
   My bibliography  Save this article

Customer Satisfaction Incentives

Author

Listed:
  • John R. Hauser

    (Massachusetts Institute of Technology)

  • Duncan I. Simester

    (University of Chicago)

  • Birger Wernerfelt

    (Massachusetts Institute of Technology)

Abstract

Customer satisfaction incentive schemes are increasingly common in a variety of industries. We offer explanations as to how and when incenting employees on customer satisfaction is profitable and offer several recommendations for improving upon current practice. Faced with employee groups (including managers) who may have shorter time horizons than the firm, such systems enable a firm to use customer reaction to monitor implicitly how employees allocate effort between the short and long terms. These systems can be used to encourage employees to make tradeoffs that are in the best interests of the firm. We derive optimal reward systems for an equilibrium in which the firm maximizes profits, employees maximize their expected utility, and customers choose purchase quantities based on initial reputations, employee efforts (both ephemeral and enduring), and price. The formal model shows how the reliance placed on customer satisfaction in an incentive scheme should depend upon the precision with which customer satisfaction is measured and the extent to which employees focus on the short term. Recommendations for improving upon current practice include: measure customers, former customers, potential customers; measure satisfaction with competitors' products; disaggregate satisfaction to reflect better the performance of employee groups, and, when different customer segments have different switching costs or they vary in the precision with which their satisfaction can be measured, then measure the segments separately and assign different weights in the incentive plan. Throughout the paper we interpret the formal results based on our experience with actual firms and the current literature. We close with a brief discussion of on-going research at field sites.

Suggested Citation

  • John R. Hauser & Duncan I. Simester & Birger Wernerfelt, 1994. "Customer Satisfaction Incentives," Marketing Science, INFORMS, vol. 13(4), pages 327-350.
  • Handle: RePEc:inm:ormksc:v:13:y:1994:i:4:p:327-350
    DOI: 10.1287/mksc.13.4.327
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.13.4.327
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.13.4.327?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
    ---><---

    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:inm:ormksc:v:13:y:1994:i:4:p:327-350. 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 Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.