IDEAS home Printed from https://ideas.repec.org/a/kap/mktlet/v26y2015i4p449-459.html
   My bibliography  Save this article

Feedback weakens the attraction effect in repeated choices

Author

Listed:
  • Sowon Ahn
  • Juyoung Kim
  • Young-Won Ha

Abstract

The present article examines how learning differs depending on the presence or absence of feedback and whether the impact of learning is sufficiently strong to override the attraction effect. The influence of repeated choices and immediate feedback was investigated in two studies. In study 1, participants were asked to choose the best quality option between two (a core set) and three (an extended set with an asymmetrically dominated option) options before and after learning, with or without feedback. Study 2 was a replication of study 1 with a more complex choice task. The results of both studies demonstrated that learning from feedback induced trade-off rule learning and decreased the magnitude of the attraction effect. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Sowon Ahn & Juyoung Kim & Young-Won Ha, 2015. "Feedback weakens the attraction effect in repeated choices," Marketing Letters, Springer, vol. 26(4), pages 449-459, December.
  • Handle: RePEc:kap:mktlet:v:26:y:2015:i:4:p:449-459
    DOI: 10.1007/s11002-014-9281-6
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11002-014-9281-6
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11002-014-9281-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    2. Shlomo Benartzi & Richard H. Thaler, 1999. "Risk Aversion or Myopia? Choices in Repeated Gambles and Retirement Investments," Management Science, INFORMS, vol. 45(3), pages 364-381, March.
    3. Huffman, Cynthia & Houston, Michael J, 1993. "Goal-Oriented Experiences and the Development of Knowledge," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(2), pages 190-207, September.
    4. Itamar Simonson & Aner Sela, 2011. "On the Heritability of Consumer Decision Making: An Exploratory Approach for Studying Genetic Effects on Judgment and Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 37(6), pages 951-966.
    5. Briley, Donnel A & Morris, Michael W & Simonson, Itamar, 2000. "Reasons as Carriers of Culture: Dynamic versus Dispositional Models of Cultural Influence on Decision Making," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(2), pages 157-178, September.
    6. Ratneshwar, Srinivasan & Shocker, Allan D & Stewart, David W, 1987. "Toward Understanding the Attraction Effect: The Implications of Product Stimulus Meaningfulness and Familiarity," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(4), pages 520-533, March.
    7. Dhar, Ravi & Glazer, Rashi, 1996. "Similarity in Context: Cognitive Representation and Violation of Preference and Perceptual Invariance in Consumer Choice," Organizational Behavior and Human Decision Processes, Elsevier, vol. 67(3), pages 280-293, September.
    8. Bettman, James R & Luce, Mary Frances & Payne, John W, 1998. "Constructive Consumer Choice Processes," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 25(3), pages 187-217, December.
    9. Morris, Michael W. & Simonson, Itamar & Briley, Donnel A., 2000. "Reasons as Carriers of Culture: Dynamic vs. Dispositional Models of Cultural Influence on Decision Making," Research Papers 1607, Stanford University, Graduate School of Business.
    10. Wen Mao & Harmen Oppewal, 2012. "The attraction effect is more pronounced for consumers who rely on intuitive reasoning," Marketing Letters, Springer, vol. 23(1), pages 339-351, March.
    11. Huber, Joel & Payne, John W & Puto, Christopher, 1982. "Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(1), pages 90-98, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gomez, Yolanda & Martínez-Molés, Víctor & Urbano, Amparo & Vila, Jose, 2016. "The attraction effect in mid-involvement categories: An experimental economics approach," Journal of Business Research, Elsevier, vol. 69(11), pages 5082-5088.
    2. K. Sivakumar, 2016. "A unified conceptualization of the attraction effect," AMS Review, Springer;Academy of Marketing Science, vol. 6(1), pages 39-58, June.
    3. Marcel Lichters & Paul Bengart & Marko Sarstedt & Bodo Vogt, 2017. "What really matters in attraction effect research: when choices have economic consequences," Marketing Letters, Springer, vol. 28(1), pages 127-138, March.
    4. 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.
    5. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mehran Spitmaan & Oihane Horno & Emily Chu & Alireza Soltani, 2019. "Combinations of low-level and high-level neural processes account for distinct patterns of context-dependent choice," PLOS Computational Biology, Public Library of Science, vol. 15(10), pages 1-31, October.
    2. Kumar Padamwar, Pravesh & Kumar Kalakbandi, Vinay & Dawra, Jagrook, 2023. "Deliberation does not make the attraction effect disappear: The role of induced cognitive reflection," Journal of Business Research, Elsevier, vol. 154(C).
    3. Hristina Nikolova & Cait Lamberton, 2016. "Men and the Middle: Gender Differences in Dyadic Compromise Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(3), pages 355-371.
    4. Cheng, Yin-Hui & Chuang, Shih-Chieh & Pei-I Yu, Annie & Lai, Wan-Ting, 2019. "Change in your wallet, change your choice: The effect of the change-matching heuristic on choice," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 67-76.
    5. Chunhua Wu & Koray Cosguner, 2020. "Profiting from the Decoy Effect: A Case Study of an Online Diamond Retailer," Marketing Science, INFORMS, vol. 39(5), pages 974-995, September.
    6. Francesco Rigoli & Christoph Mathys & Karl J Friston & Raymond J Dolan, 2017. "A unifying Bayesian account of contextual effects in value-based choice," PLOS Computational Biology, Public Library of Science, vol. 13(10), pages 1-28, October.
    7. repec:cup:judgdm:v:11:y:2016:i:3:p:213-222 is not listed on IDEAS
    8. Alexia Gaudeul & Paolo Crosetto, 2019. "Fast then slow: A choice process explanation for the attraction effect," Working Papers hal-02408719, HAL.
    9. Anyuan Shen & Shuguang Liu, 2016. "Asymmetric dominance and the stability of constructed preferences," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 11(3), pages 213-222, May.
    10. Davies, Antony & Cline, Thomas W., 2005. "A consumer behavior approach to modeling monopolistic competition," Journal of Economic Psychology, Elsevier, vol. 26(6), pages 797-826, December.
    11. J-J Huang, 2009. "Revised behavioural models for riskless consumer choice," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(9), pages 1237-1243, September.
    12. Müller, Holger & Benjamin Kroll, Eike & Vogt, Bodo, 2010. "“Fact or artifact? Empirical evidence on the robustness of compromise effects in binding and non-binding choice contextsâ€," Journal of Retailing and Consumer Services, Elsevier, vol. 17(5), pages 441-448.
    13. Calder, Bobby J. & He, Sharlene & Sternthal, Brian, 2023. "Using theoretical frameworks in behavioral research," Journal of Business Research, Elsevier, vol. 161(C).
    14. K. Sivakumar, 2016. "A unified conceptualization of the attraction effect," AMS Review, Springer;Academy of Marketing Science, vol. 6(1), pages 39-58, June.
    15. 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.
    16. Mantrala, Murali K. & Levy, Michael & Kahn, Barbara E. & Fox, Edward J. & Gaidarev, Peter & Dankworth, Bill & Shah, Denish, 2009. "Why is Assortment Planning so Difficult for Retailers? A Framework and Research Agenda," Journal of Retailing, Elsevier, vol. 85(1), pages 71-83.
    17. (Gina) Cui, Yuanyuan & (Sam) Kim, Seongseop & Kim, Jungkeun, 2021. "Impact of preciseness of price presentation on the magnitude of compromise and decoy effects," Journal of Business Research, Elsevier, vol. 132(C), pages 641-652.
    18. Wiebach, Nicole & Hildebrandt, Lutz, 2012. "Explaining customers' switching patterns to brand delisting," Journal of Retailing and Consumer Services, Elsevier, vol. 19(1), pages 1-10.
    19. 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.
    20. Wu, Linhai & Liu, Pingping & Chen, Xiujuan & Hu, Wuyang & Fan, Xuesen & Chen, Yuhuan, 2020. "Decoy effect in food appearance, traceability, and price: Case of consumer preference for pork hindquarters," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 87(C).
    21. Pechtl, Hans, 2011. "Die Präferenzwirkung nicht-verfügbarer Alternativen: Der Phantomeffekt," Wirtschaftswissenschaftliche Diskussionspapiere 01/2011, University of Greifswald, Faculty of Law and Economics.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:kap:mktlet:v:26:y:2015:i:4:p:449-459. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.