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Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey

Pasiouras Fotios, Meryem Duygun Fethi

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URIhttp://purl.tuc.gr/dl/dias/AE010606-783E-49F4-8CD0-DD6D09BD134E-
Identifierhttps://doi.org/10.1016/j.ejor.2009.08.003-
Languageen-
TitleAssessing bank efficiency and performance with operational research and artificial intelligence techniques: A surveyen
CreatorPasiouras Fotiosen
CreatorΠασιουρας Φωτιοςel
CreatorMeryem Duygun Fethien
PublisherElsevieren
Content SummaryThis 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
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-10-27-
Date of Publication2010-
Bibliographic CitationFethi 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.2009.08.003en

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