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The utility of an information processing approach for behavioral price research

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  • Rashmi Adaval

    (Hong Kong University of Science & Technology)

Abstract

In their article, Cheng and Monroe provide a historical perspective on behavioral research in pricing. Their consolidation of evidence spanning four decades of research on pricing is testimony to the richness that can result from the convergence of different perspectives and fields on a common set of phenomena. Although the article is framed in terms of concepts that have emerged from substantive concerns, there might be some utility in thinking about the issues in behavioral price research within the framework of an information processing model. Such a model allows one to localize different effects at various stages of processing and helps to raise additional issues to be investigated.

Suggested Citation

  • Rashmi Adaval, 2013. "The utility of an information processing approach for behavioral price research," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 130-134, September.
  • Handle: RePEc:spr:amsrev:v:3:y:2013:i:3:d:10.1007_s13162-013-0045-x
    DOI: 10.1007/s13162-013-0045-x
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    References listed on IDEAS

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    Cited by:

    1. Manoj Thomas & Ellie J Kyung & Gita V Johar & Rajesh Bagchi, 2019. "Slider Scale or Text Box: How Response Format Shapes Responses," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 45(6), pages 1274-1293.
    2. Jasper Dezwaef & Emiel Cracco & Jelle Demanet & Timothy Desmet & Marcel Brass, 2019. "Beyond asking: Exploring the use of automatic price evaluations to implicitly estimate consumers’ willingness-to-pay," PLOS ONE, Public Library of Science, vol. 14(7), pages 1-16, July.
    3. Arnaud Monnier & Manoj Thomas, 2022. "Experiential and Analytical Price Evaluations: How Experiential Product Description Affects Prices [The Utility of an Information Processing Approach for Behavioral Price Research]," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 49(4), pages 574-594.
    4. Lillian L. Cheng & Kent B. Monroe, 2013. "Some reflections on an appraisal of behavioral price research (part 1)," AMS Review, Springer;Academy of Marketing Science, vol. 3(3), pages 155-159, September.

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