IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v200y2025ics0148296325004886.html
   My bibliography  Save this article

Accelerating expertise in professional decision making: The effects of a simple rules training

Author

Listed:
  • Maistry, Gavin R.
  • Reb, Jochen
  • Luan, Shenghua
  • Menkhoff, Thomas

Abstract

Traditional approaches to professional decision making hold analytical expertise as superior to qualitative judgment. However, this view is increasingly challenged by work on heuristics as effective decision strategies under conditions of uncertainty. Building on this insight, we developed a script-based simple rules training program in the context of insurance underwriting. We then conducted a quasi-experimental intervention study with 220 participants of varying levels of experience. The study compared performance in the training condition with that in an active control condition on a work sample test given before and after the intervention. The results show that training in simple rules could improve decision quality in terms of both decision accuracy and consistency. Moreover, experience moderated this effect, such that the training was particularly beneficial for less experienced participants. We discuss theoretical and practical implications of our findings for professional and underwriting expertise, the study of heuristics, and decision-making training.

Suggested Citation

  • Maistry, Gavin R. & Reb, Jochen & Luan, Shenghua & Menkhoff, Thomas, 2025. "Accelerating expertise in professional decision making: The effects of a simple rules training," Journal of Business Research, Elsevier, vol. 200(C).
  • Handle: RePEc:eee:jbrese:v:200:y:2025:i:c:s0148296325004886
    DOI: 10.1016/j.jbusres.2025.115665
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296325004886
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2025.115665?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:eee:jbrese:v:200:y:2025:i:c:s0148296325004886. 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: 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.