Artikel
An integrated data envelopment analysis-artificial neural network approach for benchmarking of bank branches
Efficiency and quality of services are crucial to today's banking industries. The competition in this section has become increasingly intense, as a result of fast improvements in Technology. Therefore, performance analysis of the banking sectors attracts more attention these days. Even though data envelopment analysis (DEA) is a pioneer approach in the literature as of an efficiency measurement tool and finding benchmarks, it is on the other hand unable to demonstrate the possible future benchmarks. The drawback to it could be that the benchmarks it provides us with, may still be less efficient compared to the more advanced future benchmarks. To cover for this weakness, artificial neural network is integrated with DEA in this paper to calculate the relative efficiency and more reliable benchmarks of one of the Iranian commercial bank branches. Therefore, each branch could have a strategy to improve the efficiency and eliminate the cause of inefficiencies based on a 5-year time forecast.
- Sprache
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Englisch
- Erschienen in
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Journal: Journal of Industrial Engineering International ; ISSN: 2251-712X ; Volume: 12 ; Year: 2016 ; Pages: 137-143 ; Heidelberg: Springer
- Klassifikation
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Management
- Thema
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Data envelopment analysis
Artificial neural network
Benchmarking
- Ereignis
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Geistige Schöpfung
- (wer)
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Shokrollahpour, Elsa
Lotfi, Farhad Hosseinzadeh
Zandieh, Mostafa
- Ereignis
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Veröffentlichung
- (wer)
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Springer
- (wo)
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Heidelberg
- (wann)
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2016
- DOI
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doi:10.1007/s40092-015-0125-7
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:44 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Artikel
Beteiligte
- Shokrollahpour, Elsa
- Lotfi, Farhad Hosseinzadeh
- Zandieh, Mostafa
- Springer
Entstanden
- 2016
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