IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v13y1994i2p121-144.html
   My bibliography  Save this article

Structuring a Multiproduct Sales Quota-Bonus Plan for a Heterogeneous Sales Force: A Practical Model-Based Approach

Author

Listed:
  • Murali K. Mantrala

    (University of Florida)

  • Prabhakant Sinha

    (ZS Associates)

  • Andris A. Zoltners

    (Northwestern University)

Abstract

This paper presents an agency theoretic model-based approach that assists sales managers in determining the profit-maximizing structure of a common multiproduct sales quota-bonus plan for a geographically specialized heterogeneous sales force operating in a repetitive buying environment. This approach involves estimating each salesperson's utility function for income and effort and using these models to predict individual sales achievements and the associated aggregate profit for the firm under a specified plan. The utility function estimation is based on the salesperson's own preference rank-ordering of alternative sales quota-bonus plans. Once these functions have been estimated, they are incorporated in a mathematical programming model that the sales manager can use to determine the best plan. The authors demonstrate the approach in the context of a case involving the design of a two-product sales quota-bonus plan for a set of salespeople at a pharmaceutical products firm.

Suggested Citation

  • Murali K. Mantrala & Prabhakant Sinha & Andris A. Zoltners, 1994. "Structuring a Multiproduct Sales Quota-Bonus Plan for a Heterogeneous Sales Force: A Practical Model-Based Approach," Marketing Science, INFORMS, vol. 13(2), pages 121-144.
  • Handle: RePEc:inm:ormksc:v:13:y:1994:i:2:p:121-144
    DOI: 10.1287/mksc.13.2.121
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.13.2.121
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.13.2.121?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haofeng Jin & Zhentong Lu, 2021. "Measuring the Effectiveness of Salespeople: Evidence from a Cold-Drink Market," Staff Working Papers 21-40, Bank of Canada.
    2. Birendra K. Mishra & Ashutosh Prasad, 2004. "Centralized Pricing Versus Delegating Pricing to the Salesforce Under Information Asymmetry," Marketing Science, INFORMS, vol. 23(1), pages 21-27, January.
    3. Albers, Sonke, 1996. "Optimization models for salesforce compensation," European Journal of Operational Research, Elsevier, vol. 89(1), pages 1-17, February.
    4. Lee, Chung-Yee & Yang, Ruina, 2013. "Compensation plan for competing salespersons under asymmetric information," European Journal of Operational Research, Elsevier, vol. 227(3), pages 570-580.
    5. Bernd Skiera & Sönke Albers, 1998. "COSTA: Contribution Optimizing Sales Territory Alignment," Marketing Science, INFORMS, vol. 17(3), pages 196-213.
    6. Frenzen, Heiko & Hansen, Ann-Kristin & Krafft, Manfred & Mantrala, Murali K. & Schmidt, Simone, 2010. "Delegation of pricing authority to the sales force: An agency-theoretic perspective of its determinants and impact on performance," International Journal of Research in Marketing, Elsevier, vol. 27(1), pages 58-68.
    7. Mrinal Ghosh & George John, 2000. "Experimental Evidence for Agency Models of Salesforce Compensation," Marketing Science, INFORMS, vol. 19(4), pages 348-365, August.

    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:2:p:121-144. 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.