IDEAS home Printed from https://ideas.repec.org/a/aes/infoec/vxiy2007i2p5-12.html
   My bibliography  Save this article

Improving Organizations by Replacing the "Mechanical" Model with the "Organic" one

Author

Listed:
  • George MOLDOVEANU
  • Ion Gh. ROSCA
  • Octavian Thor PLETER

Abstract

Organizations are currently viewed as artificial structures. However, in our opinion, organizations seem to match a biological structure much better. This paper explores this new approach with some interesting conclusions and results: organizations aim at perpetual exis-tence and continuous adaptation. We advance the ideas of organizational "instincts", organizational pathology and organizational optimization using genetic algorithms. In competitive markets, organizations are in a natural selection process, which actually is part of a natural genetic algorithm. This process may be simulated in an artificial multidisciplinary optimization environment, based on minimizing a Total Costs and Risks objective function. Unlike the gradient optimization methods, the genetic algorithms may be applied to such problems with thousands of degrees of freedom. This opens the way to the organizational structure optimization through genetic algorithms.

Suggested Citation

  • George MOLDOVEANU & Ion Gh. ROSCA & Octavian Thor PLETER, 2007. "Improving Organizations by Replacing the "Mechanical" Model with the "Organic" one," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 0(2), pages 5-12.
    • Handle: RePEc:aes:infoec:v:xi:y:2007:i:2:p:5-12
    as

    Download full text from publisher

    File URL: http://www.revistaie.ase.ro/content/42/rosca-moldoveanu-pleter-engl.pdf
    Download Restriction: no
    ---><---

    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:aes:infoec:v:xi:y:2007:i:2:p:5-12. 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: Paul Pocatilu (email available below). General contact details of provider: https://edirc.repec.org/data/aseeero.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.