IDEAS home Printed from https://ideas.repec.org/a/inm/orstsc/v6y2021i4p436-443.html
   My bibliography  Save this article

History-Friendly Modeling: An Evolutionary Tool for Strategy Research

Author

Listed:
  • Gianluca Capone

    (Department of Economics and Management, University of Parma, 43125 Parma, Italy; Invernizzi Center for Research on Innovation, Organization, Strategy and Entrepreneurship, Bocconi University, 20136 Milan, Italy)

  • Daitian Li

    (School of Management and Economics, University of Electronic Science and Technology of China, 611731 Chengdu, China)

Abstract

History-friendly models have been increasingly adopted to study innovation and industry evolution, the catch-up of latecomer firms and countries, and public policies. However, they have been used less in the field of strategic management. In this article, we first provide a review of the history-friendly literature, identifying its intellectual roots in evolutionary economics. Then, we discuss three possible motivations that could explain the history-friendly paradox. Finally, we propose history-friendly models as a promising tool to study current research questions in strategy.

Suggested Citation

  • Gianluca Capone & Daitian Li, 2021. "History-Friendly Modeling: An Evolutionary Tool for Strategy Research," Strategy Science, INFORMS, vol. 6(4), pages 436-443, December.
    • Handle: RePEc:inm:orstsc:v:6:y:2021:i:4:p:436-443
    DOI: 10.1287/stsc.2021.0133
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/stsc.2021.0133
    Download Restriction: no
    File URL: https://libkey.io/10.1287/stsc.2021.0133?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:orstsc:v:6:y:2021:i:4:p:436-443. 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.