IDEAS home Printed from https://ideas.repec.org/a/inm/ormksc/v11y1992i1p39-53.html
   My bibliography  Save this article

A Choice-Based Approach to the Diffusion of a Service: Forecasting Fax Penetration by Market Segments

Author

Listed:
  • S. Weerahandi

    (Bellcore)

  • S. R. Dalal

    (Bellcore)

Abstract

Motivated by poor performance of standard estimation methods in our application, the problem of modeling the diffusion of a new service (or a product) is considered without the assumption of a homogeneous population. The model consists of a two-stage procedure where customers receive purchase occasions according to a conventional diffusion model and at each purchase occasion they buy according to a binary choice model. This approach permits explicit incorporation of individual customer demographics and product attributes, whence one can study changes in diffusion as a function of changes in product attributes, prices, advertising, and customer demographics. The model has provided excellent results in a number of applications including the one on fax penetration reported here. In our applications this approach has been useful in market segmentation, studying the effect of marketing strategies, and in evaluating the effects of new service features. A limited validation is carried out to judge the forecasting performance of the model used in the fax example. A simulation study is carried out to compare the proposed solution with the result obtained by fitting the Bass model to a set of market segments separately. The simulation indicates that the proposed approach substantially improves over the aggregate fitting.

Suggested Citation

  • S. Weerahandi & S. R. Dalal, 1992. "A Choice-Based Approach to the Diffusion of a Service: Forecasting Fax Penetration by Market Segments," Marketing Science, INFORMS, vol. 11(1), pages 39-53.
  • Handle: RePEc:inm:ormksc:v:11:y:1992:i:1:p:39-53
    DOI: 10.1287/mksc.11.1.39
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mksc.11.1.39
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mksc.11.1.39?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
    ---><---

    Citations

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


    Cited by:

    1. Bas, Javier & Zofío, José L. & Cirillo, Cinzia & Chen, Hao & Rakha, Hesham A., 2022. "Policy and industry implications of the potential market penetration of electric vehicles with eco-cooperative adaptive cruise control," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 242-256.
    2. Emmanouilides, Christos J. & Davies, Richard B., 2007. "Modelling and estimation of social interaction effects in new product diffusion," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1253-1274, March.
    3. Kim, Namwoon & Srivastava, Rajendra K. & Han, Jin K., 2001. "Consumer decision-making in a multi-generational choice set context," Journal of Business Research, Elsevier, vol. 53(3), pages 123-136, September.
    4. Hongmin Li, 2020. "Optimal Pricing Under Diffusion-Choice Models," Operations Research, INFORMS, vol. 68(1), pages 115-133, January.
    5. Yair Orbach & Gila Fruchter, 2014. "Predicting product life cycle patterns," Marketing Letters, Springer, vol. 25(1), pages 37-52, March.
    6. Fildes, Robert & Kumar, V., 2002. "Telecommunications demand forecasting--a review," International Journal of Forecasting, Elsevier, vol. 18(4), pages 489-522.
    7. Peres, Renana & Muller, Eitan & Mahajan, Vijay, 2010. "Innovation diffusion and new product growth models: A critical review and research directions," International Journal of Research in Marketing, Elsevier, vol. 27(2), pages 91-106.
    8. Peters, Kay & Albers, Sönke & Kumar, V., 2008. "Is there more to international Diffusion than Culture? An investigation on the Role of Marketing and Industry Variables," EconStor Preprints 27678, ZBW - Leibniz Information Centre for Economics.
    9. Fouad El Ouardighi & Gustav Feichtinger & Gila E. Fruchter, 2018. "Accelerating the diffusion of innovations under mixed word of mouth through marketing–operations interaction," Annals of Operations Research, Springer, vol. 264(1), pages 435-458, May.
    10. Vardit Landsman & Moshe Givon, 2010. "The diffusion of a new service: Combining service consideration and brand choice," Quantitative Marketing and Economics (QME), Springer, vol. 8(1), pages 91-121, March.
    11. Anders F. Jensen & Elisabetta Cherchi & Stefan L. Mabit & Juan de Dios Ortúzar, 2017. "Predicting the Potential Market for Electric Vehicles," Transportation Science, INFORMS, vol. 51(2), pages 427-440, May.
    12. Orbach Yair & Fruchter Gila E., 2010. "A Utility-Based Diffusion Model Applied to the Digital Camera Case," Review of Marketing Science, De Gruyter, vol. 8(1), pages 1-28, June.
    13. Ozer, Muammer, 2007. "Reducing the demand uncertainties at the fuzzy-front-end of developing new online services," Research Policy, Elsevier, vol. 36(9), pages 1372-1387, November.

    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:inm:ormksc:v:11:y:1992:i:1:p:39-53. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.html .

    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.