IDEAS home Printed from https://ideas.repec.org/a/ids/ijmdma/v12y2013i2p165-189.html
   My bibliography  Save this article

Fast and frugal heuristics for new product screening - is managerial judgment 'good enough?'

Author

Listed:
  • Fatima M. Albar
  • Antonie J. Jetter

Abstract

Project screening in the fuzzy front-end of product development is dominantly based on managerial judgment, yet little is known about the quality of heuristic screening decisions. This research models three commonly discussed fast and frugal (F%F) heuristics for project screening (take-the-best, tallying and elimination-by-aspect) and explores their performance. An illustrative dataset of 52 new product development projects is used to compare the performance of F%F heuristics against that of regression models, which reflect compensatory judgment behaviour. The findings uncover a 'less is more' effect that justifies the use of simple heuristics in early stage product screening; two out of the three F%F heuristics reach accuracies of over 80% for project selection and 70% for project rejection and the best F%F model, tallying, performs similarly to the best regression model. The findings warrant a fresh look at managerial screening heuristics as 'good enough' decision making approach.

Suggested Citation

  • Fatima M. Albar & Antonie J. Jetter, 2013. "Fast and frugal heuristics for new product screening - is managerial judgment 'good enough?'," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 12(2), pages 165-189.
  • Handle: RePEc:ids:ijmdma:v:12:y:2013:i:2:p:165-189
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=54461
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

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


    Cited by:

    1. Stingl, Verena & Geraldi, Joana, 2021. "A research agenda for studying project decision-behaviour through the lenses of simple heuristics," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    2. Sebastian Kruse & David Bendig & Malte Brettel, 2023. "How Does CEO Decision Style Influence Firm Performance? The Mediating Role of Speed and Innovativeness in New Product Development," Journal of Management Studies, Wiley Blackwell, vol. 60(5), pages 1205-1235, July.
    3. Cucchiarini, Veronica & Scicchitano, Sergio & Viale, Riccardo, 2024. "The Entrepreneur's Cognitive and Behavioral Journey: Understanding Heuristics and Bias under Risk and Uncertainty," GLO Discussion Paper Series 1390, Global Labor Organization (GLO).

    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:ids:ijmdma:v:12:y:2013:i:2:p:165-189. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=19 .

    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.