IDEAS home Printed from https://ideas.repec.org/a/spr/sjobre/v50y1998i7d10.1007_bf03371524.html
   My bibliography  Save this article

Konnexionistische Kaufakt- und Markenwahlmodelle

Author

Listed:
  • Jörg Peter Heimel

    (PNM Siemens)

  • Harald Hruschka

    (Universität Regensburg)

  • Martin Natter

    (Wirtschaftsuniversität Wien)

  • Alfred Taudes

    (Wirtschaftsuniversität Wien)

Abstract

Summary Artificial neural networks can be seen as nonlinear generalizations of conventional Statistical or econometric models. This paper studies goodness-of-fit and forecasting Performance of neural networks with one hidden layer. The central dependent variables regarded are purchase incidence and brand choice within the context of consumer non-durables. The connectionist models are compared to the well-known NBD and conditional logit models. Models are estimated on the basis of household panel data. On the whole, the neural models achieve better results than their conventional counterparts. Influence of predictors is interpreted using a distribution of elasticities or change rates.

Suggested Citation

  • Jörg Peter Heimel & Harald Hruschka & Martin Natter & Alfred Taudes, 1998. "Konnexionistische Kaufakt- und Markenwahlmodelle," Schmalenbach Journal of Business Research, Springer, vol. 50(7), pages 596-613, July.
    • Handle: RePEc:spr:sjobre:v:50:y:1998:i:7:d:10.1007_bf03371524
    DOI: 10.1007/BF03371524
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/BF03371524
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1007/BF03371524?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
    ---><---

    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. 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.
    3. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    4. Morrison, Donald G & Schmittlein, David C, 1988. "Generalizing the NBD Model for Customer Purchases: What Are the Implications and Is It Worth the Effort? Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(2), pages 165-166, April.
    5. Marcel L. Corstjens & David A. Gautschi, 1983. "Formal Choice Models in Marketing," Marketing Science, INFORMS, vol. 2(1), pages 19-56.
    6. Morrison, Donald G & Schmittlein, David C, 1988. "Generalizing the NBD Model for Customer Purchases: What Are the Implications and Is It Worth the Effort?," Journal of Business & Economic Statistics, American Statistical Association, vol. 6(2), pages 145-159, April.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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).
    3. 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).
    4. Hruschka, Harald & Fettes, Werner & Probst, Markus, 2004. "An empirical comparison of the validity of a neural net based multinomial logit choice model to alternative model specifications," European Journal of Operational Research, Elsevier, vol. 159(1), pages 166-180, November.
    5. Desmond Lam & Richard Mizerski, 2009. "An investigation into gambling purchases using the NBD and NBD–Dirichlet models," Marketing Letters, Springer, vol. 20(3), pages 263-276, September.
    6. Trinh, Giang & Khan, Huda & Lockshin, Larry, 2020. "Purchasing behaviour of ethnicities: Are they different?," International Business Review, Elsevier, vol. 29(4).
    7. Mizerski, Richard & Mizerski, Katherine & Lam, Desmond & Lee, Alvin, 2013. "Gamblers' habit," Journal of Business Research, Elsevier, vol. 66(9), pages 1605-1611.
    8. B. P. S. Murthi & Sumit Sarkar, 2003. "The Role of the Mangement Sciences in Research on Personalization," Review of Marketing Science Working Papers 2-2-1025, Berkeley Electronic Press.
    9. Peter J. Danaher & Michael S. Smith, 2011. "Modeling Multivariate Distributions Using Copulas: Applications in Marketing," Marketing Science, INFORMS, vol. 30(1), pages 4-21, 01-02.
    10. Harald Hruschka & Werner Fettes & Markus Probst, 2002. "Die Bewährung von Ankerpreismodellen bei der Erklärung der Markenwahl," Schmalenbach Journal of Business Research, Springer, vol. 54(5), pages 426-441, August.
    11. 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.
    12. 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.
    13. Kai Kopperschmidt & Winfried Stute, 2009. "Purchase timing models in marketing: a review," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 93(2), pages 123-149, June.
    14. Hruschka, Harald & Fettes, Werner & Probst, Markus, 2004. "Market segmentation by maximum likelihood clustering using choice elasticities," European Journal of Operational Research, Elsevier, vol. 154(3), pages 779-786, May.
    15. Fader, Peter S. & Hardie, Bruce G.S., 2009. "Probability Models for Customer-Base Analysis," Journal of Interactive Marketing, Elsevier, vol. 23(1), pages 61-69.
    16. 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.
    17. Kinshuk Jerath & Peter S. Fader & Bruce G. S. Hardie, 2011. "New Perspectives on Customer "Death" Using a Generalization of the Pareto/NBD Model," Marketing Science, INFORMS, vol. 30(5), pages 866-880, September.
    18. 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.
    19. Giang Trinh & Cam Rungie & Malcolm Wright & Carl Driesener & John Dawes, 2014. "Predicting future purchases with the Poisson log-normal model," Marketing Letters, Springer, vol. 25(2), pages 219-234, June.
    20. Patrice Cailleba & Herbert Casteran, 2010. "Do Ethical Values Work? A Quantitative Study of the Impact of Fair Trade Coffee on Consumer Behavior," Journal of Business Ethics, Springer, vol. 97(4), pages 613-624, December.

    More about this item

    Statistics

    Access and download statistics

    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:spr:sjobre:v:50:y:1998:i:7:d:10.1007_bf03371524. 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.