IDEAS home Printed from https://ideas.repec.org/a/inm/orinte/v13y1983i6p38-59.html
   My bibliography  Save this article

The ASSESSOR Pre-Test Market Evaluation System

Author

Listed:
  • Glen L. Urban

    (Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 50 Memorial Drive, Cambridge, Massachusetts 02139)

  • Gerald M. Katz

    (Management Decision Systems, Incorporated, 200 Fifth Avenue, Waltham, Massachusetts 02254)

  • Thomas E. Hatch

    (Mattel, Incorporated 5150 Rosecrans Avenue, Hawthorne, California 90250)

  • Alvin J. Silk

    (Alfred P. Sloan School of Management, Massachusetts Institute of Technology, 50 Memorial Drive, Cambridge, Massachusetts 02139)

Abstract

An integrated modeling and measurement system, ASSESSOR provides management with forecasts and diagnostic information about the sales potential of new packaged goods before they are test marketed. Over the past decade, Management Decision Systems has applied the methodology to 450 new products. A study indicates that ASSESSOR has helped reduce the failure rate of new products in test market by almost a half and saved the 100 client firms an estimated $120 million.

Suggested Citation

  • Glen L. Urban & Gerald M. Katz & Thomas E. Hatch & Alvin J. Silk, 1983. "The ASSESSOR Pre-Test Market Evaluation System," Interfaces, INFORMS, vol. 13(6), pages 38-59, December.
  • Handle: RePEc:inm:orinte:v:13:y:1983:i:6:p:38-59
    DOI: 10.1287/inte.13.6.38
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/inte.13.6.38
    Download Restriction: no

    File URL: https://libkey.io/10.1287/inte.13.6.38?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. Peter A. Diamond & Jerry A. Hausman, 1994. "Contingent Valuation: Is Some Number Better than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 8(4), pages 45-64, Fall.
    2. Jerry A. Hausman, 1996. "Valuation of New Goods under Perfect and Imperfect Competition," NBER Chapters, in: The Economics of New Goods, pages 207-248, National Bureau of Economic Research, Inc.
    3. Jayson Lusk & Leatta McLaughlin & Sara Jaeger, 2007. "Strategy and response to purchase intention questions," Marketing Letters, Springer, vol. 18(1), pages 31-44, June.

    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:inm:orinte:v:13:y:1983:i:6:p:38-59. 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.