IDEAS home Printed from https://ideas.repec.org/a/sbr/abstra/v63y2011i4p393-415.html
   My bibliography  Save this article

Evaluating the New: The Contingent Value of a Pro-Innovation Bias

Author

Listed:
  • Oliver Baumann
  • Dirk Martignoni

Abstract

It is a central tenet in the literature on organizational change that firms need to explore novel courses of action in order to adapt and survive. Should firms thus exhibit a “pro-innovation bias” when evaluating novel decision alternatives? Or should firms rather assess new opportunities as objectively as possible? Our analysis of a simulation model suggests that a pro-innovation bias can have exploration-enhancing effects that increase long-run performance in complex and stable environments, but can also decrease performance substantially if the bias becomes too pronounced. However, under most other conditions, an unbiased, objective evaluation of novel opportunities is most effective. We also identify a set of contingency factors that strongly affect the value of a pro-innovation bias, which may explain why it is that we see so few firms with such a bias.

Suggested Citation

  • Oliver Baumann & Dirk Martignoni, 2011. "Evaluating the New: The Contingent Value of a Pro-Innovation Bias," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 63(4), pages 393-415, October.
  • Handle: RePEc:sbr:abstra:v:63:y:2011:i:4:p:393-415
    as

    Download full text from publisher

    File URL: http://www.vhb.de/sbr/pdfarchive.html
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Bleda, Mercedes & Querbes, Adrien & Healey, Mark, 2021. "The influence of motivational factors on ongoing product design decisions," Journal of Business Research, Elsevier, vol. 129(C), pages 562-569.
    2. Leitner, Stephan & Rausch, Alexandra & Behrens, Doris A., 2017. "Distributed investment decisions and forecasting errors: An analysis based on a multi-agent simulation model," European Journal of Operational Research, Elsevier, vol. 258(1), pages 279-294.
    3. Friederike Wall, 2016. "Agent-based modeling in managerial science: an illustrative survey and study," Review of Managerial Science, Springer, vol. 10(1), pages 135-193, January.
    4. Stephan Leitner & Friederike Wall, 2015. "Simulation-based research in management accounting and control: an illustrative overview," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 26(2), pages 105-129, August.

    More about this item

    Keywords

    Innovation; Organizational Decision Making; Organizational Exploration and Adaptation; Organizational Search;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

    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:sbr:abstra:v:63:y:2011:i:4:p:393-415. 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: sbr (email available below). General contact details of provider: https://edirc.repec.org/data/fbmunde.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.