IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v36y1990i8p887-899.html
   My bibliography  Save this article

Database Models and Managerial Intuition: 50% Model + 50% Manager

Author

Listed:
  • Robert C. Blattberg

    (University of Chicago, Graduate School of Business, 1101 E. 58th Street, Chicago, Illinois 60637)

  • Stephen J. Hoch

    (University of Chicago, Graduate School of Business, 1101 E. 58th Street, Chicago, Illinois 60637)

Abstract

We focus on ways of combining simple database models with managerial intuition. We present a model and method for isolating managerial intuition. For five different business forecasting situations, our results indicate that a combination of model and manager always outperforms either of these decision inputs in isolation, an average R 2 increase of 0.09 (16%) above the best single decision input in cross-validated model analyses. We assess the validity of an equal weighting heuristic, 50% model + 50% manager, and then discuss why our results might differ from previous research on expert judgment.

Suggested Citation

  • Robert C. Blattberg & Stephen J. Hoch, 1990. "Database Models and Managerial Intuition: 50% Model + 50% Manager," Management Science, INFORMS, vol. 36(8), pages 887-899, August.
  • Handle: RePEc:inm:ormnsc:v:36:y:1990:i:8:p:887-899
    DOI: 10.1287/mnsc.36.8.887
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.36.8.887
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.36.8.887?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
    ---><---

    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:ormnsc:v:36:y:1990:i:8:p:887-899. 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.