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Improving Preference Assessment: Limiting the Effect of Context Through Pre-exposure to Attribute Levels

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  • Kurt A. Carlson

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

  • Samuel D. Bond

    (Fuqua School of Business, Duke University, Durham, North Carolina 27708)

Abstract

This paper introduces a technique for improving preference assessment by reducing the influence of context on preferential choices. We propose that a decision maker who is exposed to relevant attribute levels will form spontaneous valuations, which will then insulate the decision maker from the effects of context during subsequent preference assessment. Results from three studies supported this hypothesis. Pre-exposure to product attribute levels undermined the impact of attribute priming, decision framing, and asymmetric dominance on preferential choices. A fourth study demonstrated that similar results can be obtained by allowing decision makers to pregenerate lists of attribute levels on their own.

Suggested Citation

  • Kurt A. Carlson & Samuel D. Bond, 2006. "Improving Preference Assessment: Limiting the Effect of Context Through Pre-exposure to Attribute Levels," Management Science, INFORMS, vol. 52(3), pages 410-421, March.
  • Handle: RePEc:inm:ormnsc:v:52:y:2006:i:3:p:410-421
    DOI: 10.1287/mnsc.1050.0434
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    References listed on IDEAS

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    2. Suk, Kwanho & Yoon, Song-Oh, 2012. "The moderating role of decision task goals in attribute weight convergence," Organizational Behavior and Human Decision Processes, Elsevier, vol. 118(1), pages 37-45.
    3. Russo, J.E. & Yong, Kevyn, 2011. "The distortion of information to support an emerging evaluation of risk," Journal of Econometrics, Elsevier, vol. 162(1), pages 132-139, May.
    4. Zheng, Jun & Lienert, Judit, 2018. "Stakeholder interviews with two MAVT preference elicitation philosophies in a Swiss water infrastructure decision: Aggregation using SWING-weighting and disaggregation using UTAGMS," European Journal of Operational Research, Elsevier, vol. 267(1), pages 273-287.
    5. Lahtinen, Tuomas J. & Hämäläinen, Raimo P., 2016. "Path dependence and biases in the even swaps decision analysis method," European Journal of Operational Research, Elsevier, vol. 249(3), pages 890-898.
    6. Marcel Lichters & Marko Sarstedt & Bodo Vogt, 2015. "On the practical relevance of the attraction effect: A cautionary note and guidelines for context effect experiments," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(1), pages 1-19, June.
    7. Marcel Lichters & Marko Sarstedt & Bodo Vogt, 2015. "On the practical relevance of the attraction effect: A cautionary note and guidelines for context effect experiments," AMS Review, Springer;Academy of Marketing Science, vol. 5(1), pages 1-19, June.

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