Institutional Repository
Technical University of Crete
Technical University of Crete
EN
|
EL
| URI | http://purl.tuc.gr/dl/dias/E3B911FD-CF64-4CED-9D19-8AEB831B330F | - |
| Identifier | http://www.inderscience.com/info/inarticle.php?artid=22194 | - |
| Identifier | https://doi.org/10.1504/IJRAM.2009.022194 | - |
| Language | en | - |
| Extent | 19 pages | en |
| Title | Predicting business failure: an application of multicriteria decision aid techniques in the case of small UK manufacturing firms | en |
| Creator | Pasiouras, Fotios | en |
| Creator | Alexander Tzanetoulakos | en |
| Creator | Zopounidis Konstantinos | en |
| Creator | Ζοπουνιδης Κωνσταντινος | el |
| Publisher | Inderscience | en |
| Content Summary | Small firms play an important role in most modern economies. Nevertheless, they are not without their problems. Therefore, the development of business failure prediction models for small firms is quite important. In the present study we employ three multicriteria decision aid (MCDA) techniques for the development of failure prediction models for small UK firms. The MCDA models are developed using a ten-fold cross validation and benchmarked against models developed with discriminant analysis and logit analysis. All models achieve satisfactory classification accuracies while including only a small number of input variables, hence avoiding the commonly encountered problem of data availability when dealing with small firms. Also we examine two non-financial variables – the age of the firm and auditors' opinion – but the classification results are only marginally affected. | en |
| Type of Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-06 | - |
| Date of Publication | 2009 | - |
| Bibliographic Citation | F. Pasiouras, A. Tzanetoulakos, and C. Zopounidis, "Predicting business failure: an application of multicriteria decision aid techniques in the case of small UK manufacturing firms", Int. J. Risk Assess. Manage., vol. 11, no. 1-2, pp. 1-19, 2009. doi:10.1504/IJRAM.2009.022194 | en |
Copyright © DIAS 2013
