IDEAS home Printed from https://ideas.repec.org/p/hal/journl/halshs-00862211.html
   My bibliography  Save this paper

It's a Dirichlet World: Modeling Individuals' Loyalties Reveals How Brands Compete, Grow, and Decline

Author

Listed:
  • John Dawes
  • Bryon Sharp
  • Malcom Wrigth
  • Carl Driesener
  • Lars Meyer-Waarden

    (marketing - CRM - Centre de Recherche en Management - UT Capitole - Université Toulouse Capitole - UT - Université de Toulouse - IAE - Institut d'Administration des Entreprises - Toulouse - CNRS - Centre National de la Recherche Scientifique)

  • Lara Stocchi
  • Philip Stern

Abstract

irichlet is one of the most important theoretical achievements of marketing science. It provides insights into the distribution of consumer loyalties and is used widely in industry for benchmarking and interpreting brand performance. The Dirichlet's implications run counter to some well-entrenched marketing pedagogy and so, unsurprisingly, it has attracted criticism arguing that it cannot adequately reflect the dynamic nature of consumer choice. The authors address these criticisms by discussing how consumer loyalties are manifested and examining whether changes in consumer loyalties do, in fact, disrupt Dirichlet buying patterns. To the best of our discipline's knowledge, based on extensive empirical and theoretical work, brands compete in a Dirichlet world.

Suggested Citation

  • John Dawes & Bryon Sharp & Malcom Wrigth & Carl Driesener & Lars Meyer-Waarden & Lara Stocchi & Philip Stern, 2012. "It's a Dirichlet World: Modeling Individuals' Loyalties Reveals How Brands Compete, Grow, and Decline," Post-Print halshs-00862211, HAL.
    • Handle: RePEc:hal:journl:halshs-00862211
    DOI: 10.2501/JAR-52-2-203-213
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

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


    Cited by:

    1. Sharp, Byron & Dawes, John & Victory, Kirsten, 2024. "The market-based assets theory of brand competition," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    2. Lima Nasrin Eni, 2022. "Determinants of Customer Satisfaction at Fast Food Restaurants Located in Kishoreganj District of Bangladesh," International Journal of Science and Business, IJSAB International, vol. 7(1), pages 1-12.
    3. Dawes, John & Meyer-Waarden, Lars & Driesener, Carl, 2015. "Has brand loyalty declined? A longitudinal analysis of repeat purchase behavior in the UK and the USA," Journal of Business Research, Elsevier, vol. 68(2), pages 425-432.
    4. Dawes, John, 2020. "The Natural Monopoly effect in brand purchasing: Do big brands really appeal to lighter category buyers?," Australasian marketing journal, Elsevier, vol. 28(2), pages 90-99.
    5. Giang Trinh & Jenni Romaniuk & Arry Tanusondjaja, 2016. "Benchmarking buyer behavior towards new brands," Marketing Letters, Springer, vol. 27(4), pages 743-752, December.
    6. Kirsten Victory & Magda Nenycz-Thiel & John Dawes & Arry Tanusondjaja & Armando Maria Corsi, 2021. "How common is new product failure and when does it vary?," Marketing Letters, Springer, vol. 32(1), pages 17-32, March.
    7. Bogomolova, Svetlana & Szabo, Marietta & Kennedy, Rachel, 2017. "Retailers' and manufacturers' price-promotion decisions: Intuitive or evidence-based?," Journal of Business Research, Elsevier, vol. 76(C), pages 189-200.
    8. Zachary Anesbury & Maxwell Winchester & Rachel Kennedy, 2017. "Brand user profiles seldom change and seldom differ," Marketing Letters, Springer, vol. 28(4), pages 523-535, December.
    9. Dawes, John, 2014. "Cigarette brand loyalty and purchase patterns: An examination using US consumer panel data," Journal of Business Research, Elsevier, vol. 67(9), pages 1933-1943.
    10. Trinh, Giang & Lam, Desmond, 2016. "Understanding the attendance at cultural venues and events with stochastic preference models," Journal of Business Research, Elsevier, vol. 69(9), pages 3538-3544.
    11. Trinh, Giang & Corsi, Armando & Lockshin, Larry, 2019. "How country of origins of food products compete and grow," Journal of Retailing and Consumer Services, Elsevier, vol. 49(C), pages 231-241.
    12. Bogomolova, Svetlana & Anesbury, Zachary & Lockshin, Larry & Kapulski, Natasha & Bogomolov, Tim, 2019. "Exploring the incidence and antecedents of buying an FMCG brand and UPC for the first time," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 121-129.

    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:hal:journl:halshs-00862211. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.