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Research Note--Should Consumers Use the Halo to Form Product Evaluations?

Author

Listed:
  • Peter Boatwright

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Ajay Kalra

    (Tepper School of Business, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213)

  • Wei Zhang

    (Altus Pharmaceuticals, Cambridge, Massachusetts 02139)

Abstract

In purchase situations where attribute information is either missing or difficult to judge, a well-known heuristic that consumers use to form evaluations is the halo effect. The psychology literature has widely considered the halo a reflection of consumers' inability to discriminate between different attributes and have therefore labeled it the "halo error" or the "logical error." The objective of this paper is to offer a rationale for the halo effect. We use a decision-theory framework to show that the halo is consistent with the goal of minimizing estimation risk. Contrary to conventional wisdom, we demonstrate that a decision using the halo has lower estimation risk compared to not using the halo heuristic. Therefore, using the halo results in utility maximization and is indicative of rational behavior.

Suggested Citation

  • Peter Boatwright & Ajay Kalra & Wei Zhang, 2008. "Research Note--Should Consumers Use the Halo to Form Product Evaluations?," Management Science, INFORMS, vol. 54(1), pages 217-223, January.
    • Handle: RePEc:inm:ormnsc:v:54:y:2008:i:1:p:217-223
    DOI: 10.1287/mnsc.1070.0742
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    References listed on IDEAS

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    1. Wesley David Sine & Scott Shane & Dante Di Gregorio, 2003. "The Halo Effect and Technology Licensing: The Influence of Institutional Prestige on the Licensing of University Inventions," Management Science, INFORMS, vol. 49(4), pages 478-496, April.
    2. Ross, William T, Jr & Creyer, Elizabeth H, 1992. "Making Inferences about Missing Information: The Effects of Existing Information," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 19(1), pages 14-25, June.
    3. Kim T-H. & White H., 2001. "James-Stein-Type Estimators in Large Samples With Application to the Least Absolute Deviations Estimator," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 697-705, June.
    4. John H. Roberts & Glen L. Urban, 1988. "Modeling Multiattribute Utility, Risk, and Belief Dynamics for New Consumer Durable Brand Choice," Management Science, INFORMS, vol. 34(2), pages 167-185, February.
    5. Jorion, Philippe, 1986. "Bayes-Stein Estimation for Portfolio Analysis," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 21(3), pages 279-292, September.
    6. Murthi, B. P. S. & Choi, Yoon K. & Desai, Preyas, 1997. "Efficiency of mutual funds and portfolio performance measurement: A non-parametric approach," European Journal of Operational Research, Elsevier, vol. 98(2), pages 408-418, April.
    7. Lance, Charles E. & LaPointe, Julie A. & Fisicaro, Sebastiano A., 1994. "Tests of Three Causal Models of Halo Rater Error," Organizational Behavior and Human Decision Processes, Elsevier, vol. 57(1), pages 83-96, January.
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