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Ιδρυματικό Αποθετήριο [SANDBOX]
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| URI | http://purl.tuc.gr/dl/dias/AE010606-783E-49F4-8CD0-DD6D09BD134E | - |
| Αναγνωριστικό | https://doi.org/10.1016/j.ejor.2009.08.003 | - |
| Γλώσσα | en | - |
| Τίτλος | Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey | en |
| Δημιουργός | Pasiouras Fotios | en |
| Δημιουργός | Πασιουρας Φωτιος | el |
| Δημιουργός | Meryem Duygun Fethi | en |
| Εκδότης | Elsevier | en |
| Περίληψη | This paper presents a comprehensive review of 196 studies which employ operational research (O.R.) and artificial intelligence (A.I.) techniques in the assessment of bank performance. Several key issues in the literature are highlighted. The paper also points to a number of directions for future research. We first discuss numerous applications of data envelopment analysis which is the most widely applied O.R. technique in the field. Then we discuss applications of other techniques such as neural networks, support vector machines, and multicriteria decision aid that have also been used in recent years, in bank failure prediction studies and the assessment of bank creditworthiness and underperformance. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-10-27 | - |
| Ημερομηνία Δημοσίευσης | 2010 | - |
| Βιβλιογραφική Αναφορά | Fethi MD, Pasiouras F., "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey", European Journal of Operational Research, vol.204, no. 2, pp. 189-198, Jul. 2010. doi: 10.1016/j.ejor.2009.08.003 | en |
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