IDEAS home Printed from https://ideas.repec.org/a/kap/mktlet/v27y2016i4d10.1007_s11002-015-9374-x.html
   My bibliography  Save this article

How competitor brand names affect within-brand choices

Author

Listed:
  • Kunter Gunasti

    (University of Connecticut)

  • Berna Devezer

    (University of Idaho)

Abstract

This research shows that consumers’ intra-brand choices (e.g., Mercedes C330 vs. C340) can be affected by exposure to a competitor alphanumeric brand name that forms an incidental trend with the numbers in the focal brand names (e.g., BMW320i or BMW350i). We propose and test two mechanisms. First, when no attribute information is available, the competitor brand can make the numerical trends formed by brand names salient and meaningful, and increase the preference for higher brands (e.g., Mercedes C340). Second, when attribute values are negatively correlated with brands, exposure to the competitor brand name can trigger brand-attribute magnitude tradeoffs. In five experiments, we demonstrate that our predictions hold when there are no intrinsic brand-attribute associations, and even when the competitor brand is not available for choice. We identify competitive categorization as a boundary condition and demonstrate that the effect diminishes when consumers do not categorize the nonfocal option as a competitor.

Suggested Citation

  • Kunter Gunasti & Berna Devezer, 2016. "How competitor brand names affect within-brand choices," Marketing Letters, Springer, vol. 27(4), pages 715-727, December.
  • Handle: RePEc:kap:mktlet:v:27:y:2016:i:4:d:10.1007_s11002-015-9374-x
    DOI: 10.1007/s11002-015-9374-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11002-015-9374-x
    File Function: Abstract
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11002-015-9374-x?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. Simonson, Itamar, 1989. "Choice Based on Reasons: The Case of Attraction and Compromise Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 16(2), pages 158-174, September.
    2. Yan, Dengfeng & Duclos, Rod, 2013. "Making sense of numbers: Effects of alphanumeric brands on consumer inference," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 179-184.
    3. Huber, Joel & Puto, Christopher, 1983. "Market Boundaries and Product Choice: Illustrating Attraction and Substitution Effects," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 10(1), pages 31-44, June.
    4. Simonson, Itamar & Kivetz, Ran, 2000. "The Effects of Incomplete Information on Consumer Choice," Research Papers 1609, Stanford University, Graduate School of Business.
    5. Johnson, Michael D, 1988. "Comparability and Hierarchical Processing in Multialternative Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 303-314, December.
    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. Ozcan, Timucin & Hair, Michael & Gunasti, Kunter, 2024. "How reaching numerical roundness on subgoals affects the completion of superordinate goals," Journal of Business Research, Elsevier, vol. 177(C).

    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. repec:cup:judgdm:v:8:y:2013:i:2:p:136-149 is not listed on IDEAS
    2. Chang, Shin-Shin & Chang, Chung-Chau & Liao, Yen-Yi, 2015. "A joint examination of effects of decision task type and construal level on the attraction effect," Journal of Economic Psychology, Elsevier, vol. 51(C), pages 168-182.
    3. Gerasímou, Georgios, 2010. "Consumer theory with bounded rational preferences," Journal of Mathematical Economics, Elsevier, vol. 46(5), pages 708-714, September.
    4. Nasim Mousavi & Panagiotis Adamopoulos & Jesse Bockstedt, 2023. "The Decoy Effect and Recommendation Systems," Information Systems Research, INFORMS, vol. 34(4), pages 1533-1553, December.
    5. Thomas Otter & Joe Johnson & Jörg Rieskamp & Greg Allenby & Jeff Brazell & Adele Diederich & J. Hutchinson & Steven MacEachern & Shiling Ruan & Jim Townsend, 2008. "Sequential sampling models of choice: Some recent advances," Marketing Letters, Springer, vol. 19(3), pages 255-267, December.
    6. Seidl, C. & Traub, S., 1996. "Rational Choice and the Relevance of Irrelevant Alternatives," Other publications TiSEM 26452450-9ecd-45b4-bc45-b, Tilburg University, School of Economics and Management.
    7. 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.
    8. Fabio Galeotti & Maria Montero & Anders Poulsen, 2022. "The Attraction and Compromise Effects in Bargaining: Experimental Evidence," Management Science, INFORMS, vol. 68(4), pages 2987-3007, April.
    9. Mortimer, Gary & Weeks, Clinton S., 2019. "How unit price awareness and usage encourages grocery brand switching and expenditure," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 346-356.
    10. 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.
    11. Katharina Dowling & Daniel Guhl & Daniel Klapper & Martin Spann & Lucas Stich & Narine Yegoryan, 2020. "Behavioral biases in marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 449-477, May.
    12. Sanjay Dominik Jena & Andrea Lodi & Claudio Sole, 2021. "On the estimation of discrete choice models to capture irrational customer behaviors," Papers 2109.03882, arXiv.org.
    13. repec:cup:judgdm:v:6:y:2011:i:7:p:593-601 is not listed on IDEAS
    14. 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.
    15. Christopher Shallow & Rumen Iliev & Douglas Medin, 2011. "Trolley problems in context," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 6(7), pages 593-601, October.
    16. Guevara, C. Angelo & Fukushi, Mitsuyoshi, 2016. "Modeling the decoy effect with context-RUM Models: Diagrammatic analysis and empirical evidence from route choice SP and mode choice RP case studies," Transportation Research Part B: Methodological, Elsevier, vol. 93(PA), pages 318-337.
    17. 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.
    18. Devetag, M Giovanna, 1999. "From Utilities to Mental Models: A Critical Survey on Decision Rules and Cognition in Consumer Choice," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(2), pages 289-351, June.
    19. Paolo Crosetto & Alexia Gaudeul, 2011. "Do consumers prefer offers that are easy to compare? An experimental investigation," Jena Economics Research Papers 2011-044, Friedrich-Schiller-University Jena.
    20. 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.
    21. MS. Eric Santosa, 2020. "Trying to Deteriorate an Attraction Effect: A Lesson for Challengers," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 9, November.
    22. Crosetto, Paolo & Gaudeul, Alexia, 2016. "A monetary measure of the strength and robustness of the attraction effect," Economics Letters, Elsevier, vol. 149(C), pages 38-43.

    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:27:y:2016:i:4:d:10.1007_s11002-015-9374-x. 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.