IDEAS home Printed from https://ideas.repec.org/a/cup/jomorg/v20y2014i02p250-263_00.html
   My bibliography  Save this article

Applying a Darwinian model to the dynamic capabilities view: Insights and issues1

Author

Listed:
  • Galvin, Peter
  • Rice, John
  • Liao, Tung-Shan

Abstract

The Darwinian logic of evolution occurring via the mechanisms of variation, selection and retention provides a possible theoretical framework from which to further develop the dynamic capabilities view. Presently, criticized for lacking a theoretical foundation and featuring a degree of confusion concerning how it aligns with the resource-based view, the dynamic capabilities view would benefit from greater clarity concerning its assumptions, theoretical base and the development of a series of testable predictions. We test elements of a potential Darwinian style framework through variation-focused hypotheses using panel data for 190 Australian service firms. Our results highlight the importance of market development as a basis for variation, however, the impact of dynamic capabilities upon a likely antecedent of selection was not clear and highlighted a nuanced relationship between capability development, market development and sales growth in an small-and-medium-sized enterprise environment. We conclude that applying a Darwinian lens to the dynamic capabilities view is challenging without longer time series data and additional measures, but such an approach remains theoretically attractive and further investigation may help clarify how we conceptualize the relationship between the dynamic capabilities view and resource-based view.

Suggested Citation

  • Galvin, Peter & Rice, John & Liao, Tung-Shan, 2014. "Applying a Darwinian model to the dynamic capabilities view: Insights and issues1," Journal of Management & Organization, Cambridge University Press, vol. 20(2), pages 250-263, March.
  • Handle: RePEc:cup:jomorg:v:20:y:2014:i:02:p:250-263_00
    as

    Download full text from publisher

    File URL: https://www.cambridge.org/core/product/identifier/S1833367214000340/type/journal_article
    File Function: link to article abstract page
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Galvin, Peter & Burton, Nicholas & Singh, Prakash J. & Sarpong, David & Bach, Norbert & Teo, Stephen, 2020. "Network rivalry, Competition and Innovation," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    2. Gornostaeva, Galina, 2023. "The development of digital commerce in the fashion industry: The typology of emerging designers in London," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).

    More about this item

    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:cup:jomorg:v:20:y:2014:i:02:p:250-263_00. 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: Kirk Stebbing (email available below). General contact details of provider: https://www.cambridge.org/jmo .

    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.