IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v66y2013i9p1448-1456.html
   My bibliography  Save this article

Realizing the value of extensive replication: A theoretically robust portrayal of double jeopardy

Author

Listed:
  • Habel, Cullen
  • Lockshin, Larry

Abstract

Researchers have spent almost 50years developing, refining and applying the NBD-Dirichlet in repeat purchase markets, in particular with extensive replication of the Goodhardt, Ehrenberg, and Chatfield (1984) model. Recent research that employs a double jeopardy (DJ) line appears to have progressed with little regard for this body of theory. This paper reviews the varied applications of the NBD-Dirichlet and extends the theory to the portrayal of a double jeopardy line. This DJ line, an x–y plot of brands' penetration versus purchase frequency in a category, is tested against three alternative ways of drawing the line. A linear model for double jeopardy is adequate when used under limited conditions yet the model breaks down with a broad scope of analysis. This meta-analysis of 37 cross-sectional product categories and a 40-period (quarters) longitudinal dataset evaluates the best approximation of the DJ line to empirical data.

Suggested Citation

  • Habel, Cullen & Lockshin, Larry, 2013. "Realizing the value of extensive replication: A theoretically robust portrayal of double jeopardy," Journal of Business Research, Elsevier, vol. 66(9), pages 1448-1456.
    • Handle: RePEc:eee:jbrese:v:66:y:2013:i:9:p:1448-1456
    DOI: 10.1016/j.jbusres.2012.05.012
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296312001464
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2012.05.012?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. Peter J. Danaher & Isaac W. Wilson & Robert A. Davis, 2003. "A Comparison of Online and Offline Consumer Brand Loyalty," Marketing Science, INFORMS, vol. 22(4), pages 461-476, February.
    2. R. Dunn & S. Reader & N. Wrigley, 1983. "An Investigation of the Assumptions of the Nbd Model as Applied to Purchasing at Individual Stores," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 32(3), pages 249-259, November.
    3. Abel P. Jeuland & Frank M. Bass & Gordon P. Wright, 1980. "A Multibrand Stochastic Model Compounding Heterogeneous Erlang Timing and Multinomial Choice Processes," Operations Research, INFORMS, vol. 28(2), pages 255-277, April.
    4. A. S. C. Ehrenberg, 1959. "The Pattern of Consumer Purchases," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 8(1), pages 26-41, March.
    5. Uncles, Mark D. & Ehrenberg, Andrew S. C. & Goodhardt, Gerald J., 2004. "Reply to commentary on "Understanding brand performance measures: using Dirichlet benchmarks"," Journal of Business Research, Elsevier, vol. 57(12), pages 1329-1330, December.
    6. Uncles, Mark D. & Kwok, Simon, 2009. "Patterns of store patronage in urban China," Journal of Business Research, Elsevier, vol. 62(1), pages 68-81, January.
    7. Mark Uncles & Andrew Ehrenberg & Kathy Hammond, 1995. "Patterns of Buyer Behavior: Regularities, Models, and Extensions," Marketing Science, INFORMS, vol. 14(3_supplem), pages 71-78.
    8. N Wrigley & R Dunn, 1984. "Stochastic Panel-Data Models of Urban Shopping Behaviour: 2. Multistore Purchasing Patterns and the Dirichlet Model," Environment and Planning A, , vol. 16(6), pages 759-778, June.
    9. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, 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. 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.
    2. 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.
    3. Baker, Bradley J. & McDonald, Heath & Funk, Daniel C., 2016. "The uniqueness of sport: Testing against marketing's empirical laws," Sport Management Review, Elsevier, vol. 19(4), pages 378-390.
    4. 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.
    5. Romaniuk, Jenni & Dawes, John & Nenycz-Thiel, Magda, 2014. "Generalizations regarding the growth and decline of manufacturer and store brands," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 725-734.
    6. Dawes, John, 2022. "Factors that influence manufacturer and store brand behavioral loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    7. Rafael Barreiros Porto & Nolah Schutte da Rocha Lima, 2015. "Nonlinear Impact of the Marketing Mix on Brand Sales Performance," Brazilian Business Review, Fucape Business School, vol. 12(5), pages 57-77, September.

    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. Zhiqiang (Eric) Zheng & Peter Fader & Balaji Padmanabhan, 2012. "From Business Intelligence to Competitive Intelligence: Inferring Competitive Measures Using Augmented Site-Centric Data," Information Systems Research, INFORMS, vol. 23(3-part-1), pages 698-720, September.
    2. Uncles, Mark D. & Kwok, Simon, 2009. "Patterns of store patronage in urban China," Journal of Business Research, Elsevier, vol. 62(1), pages 68-81, January.
    3. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
    4. 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.
    5. 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.
    6. Anesbury, Zachary William & Talbot, Danielle & Day, Chanel Andrea & Bogomolov, Tim & Bogomolova, Svetlana, 2020. "The fallacy of the heavy buyer: Exploring purchasing frequencies of fresh fruit and vegetable categories," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    7. Vipul Pare & John Dawes, 2012. "The persistence of excess brand loyalty over multiple years," Marketing Letters, Springer, vol. 23(1), pages 163-175, March.
    8. Baker, Bradley J. & McDonald, Heath & Funk, Daniel C., 2016. "The uniqueness of sport: Testing against marketing's empirical laws," Sport Management Review, Elsevier, vol. 19(4), pages 378-390.
    9. 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.
    10. 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.
    11. Trinh, Giang & Wright, Malcolm J., 2022. "Predicting future consumer purchases in grocery retailing with the condensed Poisson lognormal model," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    12. Graham, Charles & Khan, Kamran & Ilyas, Muhammad, 2019. "Estimating the value of passing trade from pedestrian density," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 103-111.
    13. Jung, Sang-Uk & Zhu, John & Gruca, Thomas S., 2016. "A meta-analysis of correlations between market share and other brand performance metrics in FMCG markets," Journal of Business Research, Elsevier, vol. 69(12), pages 5901-5908.
    14. Romaniuk, Jenni, 2013. "Modeling mental market share," Journal of Business Research, Elsevier, vol. 66(2), pages 188-195.
    15. Nenycz-Thiel, Magda & Beal, Virginia & Ludwichowska, Gosia & Romaniuk, Jenni, 2013. "Investigating the accuracy of self-reports of brand usage behavior," Journal of Business Research, Elsevier, vol. 66(2), pages 224-232.
    16. 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.
    17. Trinh, Giang & Dawes, John, 2020. "A comparison of brand loyalty between on the go and take-home consumption purchases," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    18. Jeongwen Chiang & Ching-Fan Chung & Emily Cremers, 2001. "Promotions and the pattern of grocery shopping time," Journal of Applied Statistics, Taylor & Francis Journals, vol. 28(7), pages 801-819.
    19. Nenycz-Thiel, Magda & Sharp, Byron & Dawes, John & Romaniuk, Jenni, 2010. "Competition for memory retrieval between private label and national brands," Journal of Business Research, Elsevier, vol. 63(11), pages 1142-1147, November.
    20. Trinh, Giang & Khan, Huda & Lockshin, Larry, 2020. "Purchasing behaviour of ethnicities: Are they different?," International Business Review, Elsevier, vol. 29(4).

    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:eee:jbrese:v:66:y:2013:i:9:p:1448-1456. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    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.