IDEAS home Printed from https://ideas.repec.org/a/hin/jnlaor/490210.html
   My bibliography  Save this article

A Mathematical Model for Optimizing Organizational Learning Capability

Author

Listed:
  • Masoomeh Alikhani
  • Hamed Fazlollahtabar

Abstract

Learning capability is the basis of evolution in every organization. Since the simplification and development of learning level in any organization seems to be necessary, in this paper we represent a mathematical model to maximize organizational learning capability. The proposed mathematical model focuses on required cost, labor, and capital, for implementation of ten effective factors on learning capability in different parts of an organization so that they are effective in learning capability with least cost for organization. To measure the factors in different parts of an organization some metrics are introduced. Computational tests confirm the effectiveness of the model. The model is optimized by epsilon constraint while it is multiobjective one. The validation of the model is also reported to emphasize the validity and applicability of the proposed methodology.

Suggested Citation

  • Masoomeh Alikhani & Hamed Fazlollahtabar, 2014. "A Mathematical Model for Optimizing Organizational Learning Capability," Advances in Operations Research, Hindawi, vol. 2014, pages 1-12, May.
  • Handle: RePEc:hin:jnlaor:490210
    DOI: 10.1155/2014/490210
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/AOR/2014/490210.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/AOR/2014/490210.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2014/490210?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
    ---><---

    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:hin:jnlaor:490210. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    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.