IDEAS home Printed from
   My bibliography  Save this article

Organizational Wellness Modeling


  • Constantin OPREAN

    () (Lucian Blaga University of Sibiu, Romania)

  • Alina Mihaela VANU

    () (Lucian Blaga University of Sibiu, Romania)

  • Amelia BUCUR

    () (Lucian Blaga University of Sibiu, Romania)


The aim of the present paper is to establish certain mathematical models for organizational wellness as well as to create some wellness optimization problems applicable to any type of organization (including universities) that might be mathematically solved resorting to aspects of operational research of mathematical analysis. The results obtained associated with a mathematical apparatus enable one to perform analyses, comparisons, interpretations, predictions. All of us have, consciously or not, a genuine curiosity in creating and shaping organizational wellness. This concept represents a highly topical issue since professional activity, irrespective of its field, holds a very significant place for each of us. The hard-to-dinstinguish „border” between personal and professional life urges all companies, smaller or larger, to attempt to find solution at an individual and organizational level in order to support and improve the concept of organizational wellness, in its current and future understanding. Regardless of their thoughts, feelings or actions, all individuals belong to that organization.

Suggested Citation

  • Constantin OPREAN & Alina Mihaela VANU & Amelia BUCUR, 2009. "Organizational Wellness Modeling," REVISTA DE MANAGEMENT COMPARAT INTERNATIONAL/REVIEW OF INTERNATIONAL COMPARATIVE MANAGEMENT, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 10(4), pages 622-632, October.
  • Handle: RePEc:rom:rmcimn:v:10:y:2009:i:4:p:622-632

    Download full text from publisher

    File URL:
    Download Restriction: no

    More about this item


    organizational wellness; mathematical models; social processes modelling.;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being


    Access and download statistics


    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:rom:rmcimn:v:10:y:2009:i:4:p:622-632. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Marian Nastase). General contact details of provider: .

    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 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.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.