IDEAS home Printed from https://ideas.repec.org/a/rai/joeems/jeems-2014-01-oertel.html
   My bibliography  Save this article

Density imprints and organisations’ survival chances: a question of organisational ancestors

Author

Listed:
  • Oertel, Simon

Abstract

While previous studies in organisational ecology have shown that the population density at the time of an organisation’s founding influences its survival chances, the present study proposes that clarity regarding the form and function of a category of organisations moderates this effect. Focusing on four industries in East Germany and their development in the aftermath of the transition from socialism to a free market economy in 1990, results support prior findings (i.e., a high population density at an organisation’s founding decreases its survival chances). However, this effect is less harmful when environmental experiences with the organisational form are small. The present study’s results contribute to the recent discussion on population density, and they highlight the importance of transition economies as research contexts for organisational ecology.

Suggested Citation

  • Oertel, Simon, 2014. "Density imprints and organisations’ survival chances: a question of organisational ancestors," Journal of East European Management Studies, Rainer Hampp Verlag, vol. 19(1), pages 81-105.
  • Handle: RePEc:rai:joeems:jeems-2014-01-oertel
    as

    Download full text from publisher

    File URL: http://www.hampp-verlag.de/hampp_e-journals_JEMS.htm#114
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Christina Guenther & Simon Oertel & Peter Walgenbach, 2016. "It's all about Timing: Age–Dependent Consequences of Founder Exits and New Member Additions," Entrepreneurship Theory and Practice, , vol. 40(4), pages 843-865, July.

    More about this item

    Keywords

    Organizational Ecology; Density Dependence; Organizational Forms; Transition Economies; Event History Analysis;
    All these keywords.

    JEL classification:

    • J10 - Labor and Demographic Economics - - Demographic Economics - - - General
    • J20 - Labor and Demographic Economics - - Demand and Supply of Labor - - - General
    • L20 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - General
    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • P31 - Political Economy and Comparative Economic Systems - - Socialist Institutions and Their Transitions - - - Socialist Enterprises and Their Transitions

    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:rai:joeems:jeems-2014-01-oertel. 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: Rainer Hampp (email available below). General contact details of provider: http://www.hampp-verlag.de/ .

    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.