IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Designing a DSS for the Assessment of Company Performance and Viability

Listed author(s):
  • Zopounidis, C
  • Pouliezos, A
  • Yannacopoulos, D
Registered author(s):

    In this article, a multicriteria financial evaluation system for the assessment of company performance and viability is proposed. The main advantage of the proposed system is that it combines qualitative and quantitative (financial) evaluation criteria. Company evaluation is performed by calculating a total score for each company based on its performance on every criterion and by ranking companies from best to worst according to their total score. The system may also sort the companies into groups. The system capabilities are illustrated by a study of a group of 25 companies. Citation Copyright 1992 by Kluwer Academic Publishers.

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below under "Related research" whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Article provided by Kluwer & Society for Computational Economics in its journal Computer Science in Economics & Management.

    Volume (Year): 5 (1992)
    Issue (Month): 1 (February)
    Pages: 41-56

    in new window

    Handle: RePEc:kap:csecmg:v:5:y:1992:i:1:p:41-56
    Contact details of provider: Web page:

    Web page:

    More information through EDIRC

    Order Information: Web:

    No references listed on IDEAS
    You can help add them by filling out this form.

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:kap:csecmg:v:5:y:1992:i:1:p:41-56. 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: (Sonal Shukla)

    or (Rebekah McClure)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.