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A Modified Linear Learning Model of Buyer Behavior

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  • Gary L. Lilien

    (Massachusetts Institute of Technology)

Abstract

A stochastic model of individual buyer behavior is developed from a set of postulates about the buying process. The postulates are shown to imply a linear learning model modified by a term to explain response to pricing stimuli. Thus, a customer's purchasing probability is modelled as a combination of the effect of his past purchasing behavior plus the effect of price-variation in the market. Methods are developed to calculate short- and long-term probabilistic properties of the process. A method for parameter estimation is included. The model differs from past modelling efforts in this area in that a controllable variable, product price, is explicitly included in the model-structure, allowing the model to be used to aid in pricing decision making under a certain set of assumptions about competitive behavior in a market situation.

Suggested Citation

  • Gary L. Lilien, 1974. "A Modified Linear Learning Model of Buyer Behavior," Management Science, INFORMS, vol. 20(7), pages 1027-1036, March.
  • Handle: RePEc:inm:ormnsc:v:20:y:1974:i:7:p:1027-1036
    DOI: 10.1287/mnsc.20.7.1027
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    Cited by:

    1. Mathew B. Chylinski & John H. Roberts & Bruce G. S. Hardie, 2012. "Consumer Learning of New Binary Attribute Importance Accounting for Priors, Bias, and Order Effects," Marketing Science, INFORMS, vol. 31(4), pages 549-566, July.
    2. Leeflang, Peter, 2011. "Paving the way for “distinguished marketing”," International Journal of Research in Marketing, Elsevier, vol. 28(2), pages 76-88.
    3. Wu, Couchen & Chen, Hsiu-Li, 2000. "Counting your customers: Compounding customer's in-store decisions, interpurchase time and repurchasing behavior," European Journal of Operational Research, Elsevier, vol. 127(1), pages 109-119, November.
    4. Sridhar Narayanan & Puneet Manchanda, 2009. "Heterogeneous Learning and the Targeting of Marketing Communication for New Products," Marketing Science, INFORMS, vol. 28(3), pages 424-441, 05-06.

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