IDEAS home Printed from https://ideas.repec.org/a/scm/ecofrm/v6y2017i1p54.html
   My bibliography  Save this article

Business Success and Failure Prediction Software - BEX Model

Author

Listed:
  • Meri Boshkoska, Author-Workplace-Name: University St.Kliment Ohridski – Bitola, Republic of Macedonia
  • Milcho Prisagjanec

    (University St.Kliment Ohridski – Bitola, Republic of Macedonia)

Abstract

The possibility to predict bankruptcy of a company before it actually occurs has resulted in a development of a great number of research works on business failure. In theory, there are several models that could predict the financial instability of the companies. A few of these models have been expanded and applied in the developed countries the market environment of which differs from those in the developing and transition countries. When evaluating and predicting the excellence of a company it is important to consider the economic environment in which the company has been dealing. This is we have decided to use the BEX model as it has been designed for the Croatian business environment which is similar to the Macedonian one. The objective of this paper has been reached by developing a software analysis based on BEX model which enables calculation, determination and visual presentation of a company’s excellence, as well as a business success and failure prediction.

Suggested Citation

  • Meri Boshkoska, Author-Workplace-Name: University St.Kliment Ohridski – Bitola, Republic of Macedonia & Milcho Prisagjanec, 2017. "Business Success and Failure Prediction Software - BEX Model," EcoForum, "Stefan cel Mare" University of Suceava, Romania, Faculty of Economics and Public Administration - Economy, Business Administration and Tourism Department., vol. 6(1), pages 1-54, January.
    • Handle: RePEc:scm:ecofrm:v:6:y:2017:i:1:p:54
    as

    Download full text from publisher

    File URL: http://ecoforumjournal.ro/index.php/eco/article/view/578/343
    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:scm:ecofrm:v:6:y:2017:i:1:p:54. 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: Iulian Condratov (email available below). General contact details of provider: https://edirc.repec.org/data/feusvro.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.