Market-Share Analysis: A Core Technology for Learning About Markets and Competition

  • Lee G. Cooper
  • Masao Nakanishi
Conference paper
Part of the NATO ASI Series book series (volume 61)


The current state of market-share analysis is summarized according to the five-stage model described in Cooper and Nakanishi (1988). Consideration of what is needed to help managers learn about markets and competition leads to a discussion of CHAINs (Combined Human- and Artificial-Intelligence Networks)—open systems in which growth of the knowledge base is the primary concern.


Inference Engine Marketing Action Attraction Model Marketing Instrument Combine Human 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. BULTEZ, A.V., and NAERT, P.A. (1975), Consistent Sum-Constrained Models, Journal of the American Statistical Association, 70, 351, 529–535.CrossRefMATHGoogle Scholar
  2. COOPER, L.G. (1988), Competitive Maps: The Structure Underlying Asymmetric Cross Elasticities, Management Science, 34, 6, 707–723.CrossRefGoogle Scholar
  3. COOPER, L.G., DE LEEUW, J., and SOGOMONIAN, A.G. (1989), An Imputation Method for Dealing with Missing Data in Regression, UCLA Statistics Series 38.Google Scholar
  4. COOPER, L.G., and NAKANISHI, M. (1988), Market-Share Analysis: Evaluating Competitive Marketing Effectiveness, Kluwer Academic Publishers, Boston.Google Scholar
  5. CURRIM, I.S., MEYER, R.J., and LE, N.T. (1988), Disaggregate Tree-Structured Modeling of Consumer Choice Data, Journal of Marketing Research, 25, 253–265.CrossRefGoogle Scholar
  6. GUADAGNI, P.M., and LITTLE, J.D.C. (1983), A Logit Model of Brand Choice Calibrated on Scanner Data, Marketing Science, 2, 3, 203–238.CrossRefGoogle Scholar
  7. MICHALSKI, R.S. (1983), A Theory and Methodology of Inductive Learning, in: Machine Learning: An Artificial Intelligence Approach, eds. R.S. Michalski, J.G. Carbonell and T.M. Mitchell, Tioga Publishing, Palo Alto, CA, 83–134.Google Scholar
  8. MOORE, W.L., and WINER, R.S. (1987), A Panel-Data Based Method for Merging Joint Space and Market Response Function Estimation, Marketing Science, 6, 1, 25–42.CrossRefGoogle Scholar
  9. NAERT, P.A., and WEVERBERGH, M. (1981), On the Prediction Power of Market Share Attraction Models, Journal of Marketing Research, 18, 146–153.CrossRefGoogle Scholar
  10. NAKANISHI, M., and COOPER, L.G. (1974), Parameter Estimation for a Multiplicative Competitive Interaction Model—Least Squares Approach, Journal of Marketing Research, 11, 303–311.CrossRefGoogle Scholar
  11. TUCKER, L.R. (1969), Some Relations Between Multi-Mode Factor Analysis and Linear Models for Individual Differences in Choice, Judgmental and Performance Data, Paper presented to the Psychometric Society Symposium, Multi-Mode Factor Analysis and Models for Individual Differences in Psychological Phenomena, April 18.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1990

Authors and Affiliations

  • Lee G. Cooper
    • 1
  • Masao Nakanishi
    • 2
  1. 1.Anderson Graduate School of Management UCLALos AngelesUSA
  2. 2.School of Business Administration Kwansei Gakuin UniversityNishinomiya-shiJapan

Personalised recommendations