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A knowledge-based model of context-dependent attribute preferences for fast moving consumer goods

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  • Moss, S.
  • Edmonds, B.

Abstract

Modelling techniques which integrate statistical and knowledge-based methods are shown in this paper to provide the basis for a richer discourse about the nature of markets than either statistical methods or verbal analyses alone. This result is demonstrated in relation to a model in which consumer preferences are dependent upon the activity for which purchases are made. This knowledge-base of the model incorporates qualitative judgements of domain experts. The model is then tested against EPOS data on the sales to test the consistency of these judgements. We then exhibit an application of this model to the UK market for certain alcoholic beverages. We show that the context-dependent model is at least as robust as models obtained by conventional statistical analysis. The context-dependent model needs far less data for effective parameterisation and contains more information that is directly useful to domain experts. However, the statistical model is less computationally intensive.

Suggested Citation

  • Moss, S. & Edmonds, B., 1997. "A knowledge-based model of context-dependent attribute preferences for fast moving consumer goods," Omega, Elsevier, vol. 25(2), pages 155-169, April.
    • Handle: RePEc:eee:jomega:v:25:y:1997:i:2:p:155-169
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    1. Dan Horsky & Paul Nelson, 1992. "New Brand Positioning and Pricing in an Oligopolistic Market," Marketing Science, INFORMS, vol. 11(2), pages 133-153.
    2. Huber, Joel & Puto, Christopher, 1983. "Market Boundaries and Product Choice: Illustrating Attraction and Substitution Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(1), pages 31-44, June.
    3. Belk, Russell W, 1975. "Situational Variables and Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 2(3), pages 157-164, December.
    4. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    5. Huber, Joel & Payne, John W & Puto, Christopher, 1982. "Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(1), pages 90-98, June.
    6. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    7. Amos Tversky & Itamar Simonson, 1993. "Context-Dependent Preferences," Management Science, INFORMS, vol. 39(10), pages 1179-1189, October.
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    Cited by:

    1. Scott Moss, 1998. "Critical Incident Management: an Empirically Derived Computational Model," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 1(4), pages 1-1.

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