Measuring relative performance of banking industry using a DEA and TOPSIS
One of the primary concerns in banking industry is to measure the relative importance of banking industry using popular multi criteria decision making (MCDM) techniques such as data envelopment analysis (DEA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In this paper,...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2013-02-01
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| Series: | Management Science Letters |
| Subjects: | |
| Online Access: | http://www.growingscience.com/msl/Vol3/msl_2012_340.pdf |
| _version_ | 1819072639887474688 |
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| author | Mohammad Hemmati Seyed Abolfazl Dalghandi Hossein Nazari |
| author_facet | Mohammad Hemmati Seyed Abolfazl Dalghandi Hossein Nazari |
| author_sort | Mohammad Hemmati |
| collection | DOAJ |
| description | One of the primary concerns in banking industry is to measure the relative importance of banking industry using popular multi criteria decision making (MCDM) techniques such as data envelopment analysis (DEA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In this paper, we use these two MCDM techniques to measure the relative efficiencies of 16 private and governmental banks in terms of electronic payment. There are three inputs with DEA methods including the number of issued cards, the number of ATM machines and the number of POSs and there are two outputs including the number of successful ATMs and the number of successful POSs transactions. The proposed study of this paper uses the necessary data of one of Iranian provinces and the results of the implementation of DEA and TOPSIS have indicated that 9 out of 16 banks were efficient. Our study also indicates that mean of relative efficiency for private banks was 82% while this number was 75% for governmental banks. |
| first_indexed | 2024-12-21T17:40:56Z |
| format | Article |
| id | doaj.art-1135880bab2241dc9477dbc6e4008cf2 |
| institution | Directory Open Access Journal |
| issn | 1923-9335 1923-9343 |
| language | English |
| last_indexed | 2024-12-21T17:40:56Z |
| publishDate | 2013-02-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Management Science Letters |
| spelling | doaj.art-1135880bab2241dc9477dbc6e4008cf22022-12-21T18:55:37ZengGrowing ScienceManagement Science Letters1923-93351923-93432013-02-0132499504Measuring relative performance of banking industry using a DEA and TOPSISMohammad HemmatiSeyed Abolfazl DalghandiHossein NazariOne of the primary concerns in banking industry is to measure the relative importance of banking industry using popular multi criteria decision making (MCDM) techniques such as data envelopment analysis (DEA) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). In this paper, we use these two MCDM techniques to measure the relative efficiencies of 16 private and governmental banks in terms of electronic payment. There are three inputs with DEA methods including the number of issued cards, the number of ATM machines and the number of POSs and there are two outputs including the number of successful ATMs and the number of successful POSs transactions. The proposed study of this paper uses the necessary data of one of Iranian provinces and the results of the implementation of DEA and TOPSIS have indicated that 9 out of 16 banks were efficient. Our study also indicates that mean of relative efficiency for private banks was 82% while this number was 75% for governmental banks.http://www.growingscience.com/msl/Vol3/msl_2012_340.pdfBanking industryEfficiencyTOPSISDEA |
| spellingShingle | Mohammad Hemmati Seyed Abolfazl Dalghandi Hossein Nazari Measuring relative performance of banking industry using a DEA and TOPSIS Management Science Letters Banking industry Efficiency TOPSIS DEA |
| title | Measuring relative performance of banking industry using a DEA and TOPSIS |
| title_full | Measuring relative performance of banking industry using a DEA and TOPSIS |
| title_fullStr | Measuring relative performance of banking industry using a DEA and TOPSIS |
| title_full_unstemmed | Measuring relative performance of banking industry using a DEA and TOPSIS |
| title_short | Measuring relative performance of banking industry using a DEA and TOPSIS |
| title_sort | measuring relative performance of banking industry using a dea and topsis |
| topic | Banking industry Efficiency TOPSIS DEA |
| url | http://www.growingscience.com/msl/Vol3/msl_2012_340.pdf |
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