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Designing a DSS for the Assessment of Company Performance and Viability

Author

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  • Zopounidis, C
  • Pouliezos, A
  • Yannacopoulos, D

Abstract

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.

Suggested Citation

  • Zopounidis, C & Pouliezos, A & Yannacopoulos, D, 1992. "Designing a DSS for the Assessment of Company Performance and Viability," Computer Science in Economics & Management, Kluwer;Society for Computational Economics, vol. 5(1), pages 41-56, February.
  • Handle: RePEc:kap:csecmg:v:5:y:1992:i:1:p:41-56
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    Cited by:

    1. Dimitras, A. I. & Slowinski, R. & Susmaga, R. & Zopounidis, C., 1999. "Business failure prediction using rough sets," European Journal of Operational Research, Elsevier, vol. 114(2), pages 263-280, April.
    2. Dimitras, A. I. & Zanakis, S. H. & Zopounidis, C., 1996. "A survey of business failures with an emphasis on prediction methods and industrial applications," European Journal of Operational Research, Elsevier, vol. 90(3), pages 487-513, May.
    3. Ching-Hsue Cheng & Ssu-Hsiang Wang, 2015. "A quarterly time-series classifier based on a reduced-dimension generated rules method for identifying financial distress," Quantitative Finance, Taylor & Francis Journals, vol. 15(12), pages 1979-1994, December.
    4. Ioannis Tsolas, 2015. "Firm credit risk evaluation: a series two-stage DEA modeling framework," Annals of Operations Research, Springer, vol. 233(1), pages 483-500, October.
    5. Emel, Ahmet Burak & Oral, Muhittin & Reisman, Arnold & Yolalan, Reha, 2003. "A credit scoring approach for the commercial banking sector," Socio-Economic Planning Sciences, Elsevier, vol. 37(2), pages 103-123, June.
    6. Psillaki, Maria & Tsolas, Ioannis E. & Margaritis, Dimitris, 2010. "Evaluation of credit risk based on firm performance," European Journal of Operational Research, Elsevier, vol. 201(3), pages 873-881, March.
    7. Zopounidis, C., 1999. "Multicriteria decision aid in financial management," European Journal of Operational Research, Elsevier, vol. 119(2), pages 404-415, December.
    8. Rasolomanana, Onjaniaina Mianin’Harizo, 2021. "Ensemble Neural Network Using A Small Dataset For The Prediction Of Bankruptcy : Combining Numerical And Textual Data," Discussion paper series. A 361, Graduate School of Economics and Business Administration, Hokkaido University.

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