IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v13y1967i7p568-583.html
   My bibliography  Save this article

Mathematical Model for a Duopolistic Market

Author

Listed:
  • K. S. Krishnan

    (University of Pennsylvania)

  • Shiv K. Gupta

    (University of Pennsylvania)

Abstract

A mathematical model is developed for a marketing situation with two competitors when each competitor has two control variables, viz. price and promotional effort. The model discussed in this paper is an extension of Mills' model [Bass, Frank M., Buzzell, Robert D., Greene, Mark R., Lazer, William, Pessemier, Edgar A., Shawver, Donald L., Shuchman, Abraham, Theodore, Chris A., Wilson, George W. Mathematical Models and Methods in Marketing, article by Harland D. Mills, "A Study of Promotional Competition," pp. 271-301, Richard D. Irwin, Inc., Homewood, Illinois, 1961.]. Mills has assumed that each competitor has only one control variable, viz. promotional effort and the profit margins of the two competitors are known. In this paper the profit margins are also control variables. The paper derives conditions under which non-boundary equilibrium solutions exist and the sensitivity of the model for small deviations in the decision variables from their equilibrium values is tested. Mills' results are found to be valid only under certain conditions.

Suggested Citation

  • K. S. Krishnan & Shiv K. Gupta, 1967. "Mathematical Model for a Duopolistic Market," Management Science, INFORMS, vol. 13(7), pages 568-583, March.
  • Handle: RePEc:inm:ormnsc:v:13:y:1967:i:7:p:568-583
    DOI: 10.1287/mnsc.13.7.568
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.13.7.568
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.13.7.568?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. Mesak, Hani I. & Calloway, James A., 1995. "A pulsing model of advertising competition: A game theoretic approach, part B -- Empirical application and findings," European Journal of Operational Research, Elsevier, vol. 86(3), pages 422-433, November.
    2. V. Balachandran & Dennis H. Gensch, 1973. "Solving the 'Marketing Mix' Problem Using Geometric Programming," Discussion Papers 61, Northwestern University, Center for Mathematical Studies in Economics and Management Science.

    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:inm:ormnsc:v:13:y:1967:i:7:p:568-583. 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.