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Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses

Author

Listed:
  • Gavan J. Fitzsimons

    (Fuqua School of Business, Duke University, Box 90120, Durham, North Carolina 27708-9012)

  • Donald R. Lehmann

    (Columbia Graduate School of Business, New York, New York 10027)

Abstract

Recommendations often play a positive role in the decision process by reducing the difficulty associated with choosing between options. However, in certain circumstances recommendations play a less positive and more undesirable role from the perspectives of both the recommending agent or agency and the person receiving the recommendation. Across a series of four studies, we explore consumer response when recommendations by experts and intelligent agents contradict the consumer's initial impressions of choice options. We find that unsolicited advice that contradicts initial impressions leads to the activation of a reactant state on the part of the decision maker. This reactance, in turn, leads to a behavioral backlash that results not only in consumers ignoring the agents' recommendations but in intentionally contradicting them.

Suggested Citation

  • Gavan J. Fitzsimons & Donald R. Lehmann, 2004. "Reactance to Recommendations: When Unsolicited Advice Yields Contrary Responses," Marketing Science, INFORMS, vol. 23(1), pages 82-94, September.
  • Handle: RePEc:inm:ormksc:v:23:y:2004:i:1:p:82-94
    DOI: 10.1287/mksc.1030.0033
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    References listed on IDEAS

    as
    1. Clee, Mona A & Wicklund, Robert A, 1980. "Consumer Behavior and Psychological Reactance," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 6(4), pages 389-405, March.
    2. John G. Lynch , Jr. & Dan Ariely, 2000. "Wine Online: Search Costs Affect Competition on Price, Quality, and Distribution," Marketing Science, INFORMS, vol. 19(1), pages 83-103, April.
    3. Zhang, Shi & Fitzsimons, Gavan J., 1999. "Choice-Process Satisfaction: The Influence of Attribute Alignability and Option Limitation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 77(3), pages 192-214, March.
    4. Diehl, Kristin & Kornish, Laura J & Lynch, John G, Jr, 2003. "Smart Agents: When Lower Search Costs for Quality Information Increase Price Sensitivity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(1), pages 56-71, June.
    5. Shugan, Steven M, 1980. "The Cost of Thinking," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 7(2), pages 99-111, Se.
    6. Fitzsimons, Gavan J, 2000. "Consumer Response to Stockouts," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 249-266, September.
    7. Ganesh Iyer & Amit Pazgal, 2003. "Internet Shopping Agents: Virtual Co-Location and Competition," Marketing Science, INFORMS, vol. 22(1), pages 85-106, November.
    8. Ganesh Iyer & Amit Pazgal, 2003. "Erratum: Internet Shopping Agents: Virtual Co-Location and Competition," Marketing Science, INFORMS, vol. 22(2), pages 271-271, November.
    9. West, Patricia M & Broniarczyk, Susan M, 1998. "Integrating Multiple Opinions: The Role of Aspiration Level on Consumer Response to Critic Consensus," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(1), pages 38-51, June.
    10. Gerald Häubl & Valerie Trifts, 2000. "Consumer Decision Making in Online Shopping Environments: The Effects of Interactive Decision Aids," Marketing Science, INFORMS, vol. 19(1), pages 4-21, May.
    Full references (including those not matched with items on IDEAS)

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