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Simple Decision Aids and Consumer Decision Making

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  • Lurie, Nicholas H.
  • Wen, Na

Abstract

To help consumers deal with increasing amounts of information, many online retailers offer simple decision aids, such as the ability to sort on a particular attribute or eliminate undesired alternatives. The authors propose that consumers use simple decision aids as substitutes for cognitive effort, potentially with adverse consequences for decision making. An experimental study shows that providing unrestricted sorting increases decision quality only when choice conflict is low; beyond a certain point, greater use of the decision aid is associated with declines in decision quality. A second study shows that that allowing consumers to sort alternatives only one time enhances decision quality and, when choice conflict is high, reduces decision effort. A third study shows that providing elimination as well as sorting tools helps mitigate the negative effects of simple decision aids. Although the availability of sorting alone hurts decision quality when choice conflict is high, decision quality under choice conflict is improved when both sorting and elimination tools are provided. Implications for retail practice are discussed.

Suggested Citation

  • Lurie, Nicholas H. & Wen, Na, 2014. "Simple Decision Aids and Consumer Decision Making," Journal of Retailing, Elsevier, vol. 90(4), pages 511-523.
  • Handle: RePEc:eee:jouret:v:90:y:2014:i:4:p:511-523
    DOI: 10.1016/j.jretai.2014.08.004
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    References listed on IDEAS

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    1. Xu, Yunjie (Calvin) & Kim, Hee-Woong, 2008. "Order Effect and Vendor Inspection in Online Comparison Shopping," Journal of Retailing, Elsevier, vol. 84(4), pages 477-486.
    2. Sirkka L. Jarvenpaa, 1989. "The Effect of Task Demands and Graphical Format on Information Processing Strategies," Management Science, INFORMS, vol. 35(3), pages 285-303, March.
    3. John D. C. Little, 1970. "Models and Managers: The Concept of a Decision Calculus," Management Science, INFORMS, vol. 16(8), pages 466-485, April.
    4. Levin, Irwin P. & Huneke, Mary E. & Jasper, J. D., 2000. "Information Processing at Successive Stages of Decision Making: Need for Cognition and Inclusion-Exclusion Effects," Organizational Behavior and Human Decision Processes, Elsevier, vol. 82(2), pages 171-193, July.
    5. Ariely, Dan, 2000. "Controlling the Information Flow: Effects on Consumers' Decision Making and Preferences," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 233-248, September.
    6. Stephen J. Hoch & David A. Schkade, 1996. "A Psychological Approach to Decision Support Systems," Management Science, INFORMS, vol. 42(1), pages 51-64, January.
    7. 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.
    8. Gerrit H. van Bruggen & Ale Smidts & Berend Wierenga, 1998. "Improving Decision Making by Means of a Marketing Decision Support System," Management Science, INFORMS, vol. 44(5), pages 645-658, May.
    9. Murray, Kyle B. & Häubl, Gerald, 2009. "Personalization without Interrogation: Towards more Effective Interactions between Consumers and Feature-Based Recommendation Agents," Journal of Interactive Marketing, Elsevier, vol. 23(2), pages 138-146.
    10. 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.
    11. Huber, Joel & Klein, Noreen M, 1991. "Adapting Cutoffs to the Choice Environment: The Effects of Attribute Correlation and Reliability," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(3), pages 346-357, December.
    12. Arnaud De Bruyn & John C. Liechty & Eelko K. R. E. Huizingh & Gary L. Lilien, 2008. "Offering Online Recommendations with Minimum Customer Input Through Conjoint-Based Decision Aids," Marketing Science, INFORMS, vol. 27(3), pages 443-460, 05-06.
    13. George M. Kasper, 1996. "A Theory of Decision Support System Design for User Calibration," Information Systems Research, INFORMS, vol. 7(2), pages 215-232, June.
    14. Breugelmans, Els & Köhler, Clemens F. & Dellaert, Benedict G.C. & de Ruyter, Ko, 2012. "Promoting Interactive Decision Aids on Retail Websites: A Message Framing Perspective with New versus Traditional Focal Actions," Journal of Retailing, Elsevier, vol. 88(2), pages 226-235.
    15. Peter Todd & Izak Benbasat, 1999. "Evaluating the Impact of DSS, Cognitive Effort, and Incentives on Strategy Selection," Information Systems Research, INFORMS, vol. 10(4), pages 356-374, December.
    16. 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.
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    3. Suleyman Ozarslan & P. Erhan Eren, 0. "MobileCDP: A mobile framework for the consumer decision process," Information Systems Frontiers, Springer, vol. 0, pages 1-22.

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