IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2007i2p117-148.html
   My bibliography  Save this article

Genesis and Evolution of Market Share Predictive Models

Author

Listed:
  • Marusia Ivanova

Abstract

The time borders in market share predictive modeling evolution have been set as a result of a critical perusal of the leading scientific research papers, which cover the period from 1950 to our days. Five evolution stages have been identified: (1) Stage of origin of market share predictive models: 1951-1965; (2) Stage of realistic market share predictive models: 1966-1969; (3) Stage of logically consistent market share predictive models: 1970-1988; (4) Stage of maturity in market share predictive modeling: 1989-2004; (5) Stage of analytical reengineering of market share predictive modeling: after 2004. The types of models representative of every evolution stage, as well as some of their advantages and disadvantages, have been discussed.

Suggested Citation

  • Marusia Ivanova, 2007. "Genesis and Evolution of Market Share Predictive Models," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 2, pages 117-148.
  • Handle: RePEc:bas:econst:y:2007:i:2:p:117-148
    as

    Download full text from publisher

    File URL: http://www.ceeol.com/aspx/issuedetails.aspx?issueid=f6b6232d-92fc-46a7-a219-757cb97d5d28&articleid=e3a49f66-835e-4043-b1f8-0584b07ceb29#ae3a49f66-835e-4043-b1f8-0584b07ceb29
    Download Restriction: Fee access

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Philip Kotler, 1965. "Competitive Strategies for New Product Marketing Over the Life Cycle," Management Science, INFORMS, vol. 12(4), pages 104-119, December.
    2. Gregory S. Carpenter & Lee G. Cooper & Dominique M. Hanssens & David F. Midgley, 1988. "Modeling Asymmetric Competition," Marketing Science, INFORMS, vol. 7(4), pages 393-412.
    3. Danaher, Peter J., 1994. "Comparing naive with econometric market share models when competitors' actions are forecast," International Journal of Forecasting, Elsevier, vol. 10(2), pages 287-294, September.
    4. David J. Reibstein & Paul W. Farris, 1995. "Market Share and Distribution: A Generalization, a Speculation, and Some Implications," Marketing Science, INFORMS, vol. 14(3_supplem), pages 190-202.
    5. Paul Farris & James Olver & Cornelis De Kluyver, 1989. "The Relationship Between Distribution and Market Share," Marketing Science, INFORMS, vol. 8(2), pages 107-128.
    6. Brodie, Roderick J. & Bonfrer, Andre, 1994. "Conditions when market share models are useful for forecasting: further empirical results," International Journal of Forecasting, Elsevier, vol. 10(2), pages 277-285, September.
    7. Leeflang, P.S.H. & Wittink, Dick R., 2000. "Building models for marketing decisions: past, present and future," Research Report 00F20, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    8. Marnik G. Dekimpe & Dominique M. Hanssens, 1995. "Empirical Generalizations About Market Evolution and Stationarity," Marketing Science, INFORMS, vol. 14(3_supplem), pages 109-121.
    9. repec:dgr:rugsom:00f20 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • M39 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Other

    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:bas:econst:y:2007:i:2:p:117-148. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Diana Dimitrova). General contact details of provider: http://edirc.repec.org/data/ikbasbg.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.