A DEA-TOPSIS approach for ranking credit institutions
Measuring the relative efficiency of financial units plays essential role for making strategic decisions such as business development, downsizing, etc. This paper presents an empirical investigation to rank different branches of a credit institution named Samen in city of Semnan, Iran. The proposed...
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| Format: | Article |
| Language: | English |
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Growing Science
2014-09-01
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| Series: | Management Science Letters |
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| Online Access: | http://www.growingscience.com/msl/Vol4/msl_2014_249.pdf |
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| _version_ | 1849398148525457408 |
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| author | Mohammad Ehsani Abolfazl Danaei |
| author_facet | Mohammad Ehsani Abolfazl Danaei |
| author_sort | Mohammad Ehsani |
| collection | DOAJ |
| description | Measuring the relative efficiency of financial units plays essential role for making strategic decisions such as business development, downsizing, etc. This paper presents an empirical investigation to rank different branches of a credit institution named Samen in city of Semnan, Iran. The proposed study uses data envelopment analysis (DEA) for measuring the relative efficiency of 17 units. The results indicate that five units were efficient and using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the efficient units are ranked based on some inputs/outputs. The results of this study indicate that most branches of this financial unit performed poorly and a restructure in their businesses is necessary. In addition, the study has provided some evidences that considering employee wage, bank deposit and administration expenses as inputs for DEA implementation seems to provide better results than using total assets and equities. |
| format | Article |
| id | doaj-art-9e5b6931348e421aa06cea215d24aed3 |
| institution | Kabale University |
| issn | 1923-2934 1923-9343 |
| language | English |
| publishDate | 2014-09-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Management Science Letters |
| spelling | doaj-art-9e5b6931348e421aa06cea215d24aed32025-08-20T03:38:43ZengGrowing ScienceManagement Science Letters1923-29341923-93432014-09-01492071207610.5267/j.msl.2014.8.014A DEA-TOPSIS approach for ranking credit institutionsMohammad EhsaniAbolfazl DanaeiMeasuring the relative efficiency of financial units plays essential role for making strategic decisions such as business development, downsizing, etc. This paper presents an empirical investigation to rank different branches of a credit institution named Samen in city of Semnan, Iran. The proposed study uses data envelopment analysis (DEA) for measuring the relative efficiency of 17 units. The results indicate that five units were efficient and using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the efficient units are ranked based on some inputs/outputs. The results of this study indicate that most branches of this financial unit performed poorly and a restructure in their businesses is necessary. In addition, the study has provided some evidences that considering employee wage, bank deposit and administration expenses as inputs for DEA implementation seems to provide better results than using total assets and equities.http://www.growingscience.com/msl/Vol4/msl_2014_249.pdfData envelopment analysisDEATOPSISCredit institution |
| spellingShingle | Mohammad Ehsani Abolfazl Danaei A DEA-TOPSIS approach for ranking credit institutions Management Science Letters Data envelopment analysis DEA TOPSIS Credit institution |
| title | A DEA-TOPSIS approach for ranking credit institutions |
| title_full | A DEA-TOPSIS approach for ranking credit institutions |
| title_fullStr | A DEA-TOPSIS approach for ranking credit institutions |
| title_full_unstemmed | A DEA-TOPSIS approach for ranking credit institutions |
| title_short | A DEA-TOPSIS approach for ranking credit institutions |
| title_sort | dea topsis approach for ranking credit institutions |
| topic | Data envelopment analysis DEA TOPSIS Credit institution |
| url | http://www.growingscience.com/msl/Vol4/msl_2014_249.pdf |
| work_keys_str_mv | AT mohammadehsani adeatopsisapproachforrankingcreditinstitutions AT abolfazldanaei adeatopsisapproachforrankingcreditinstitutions AT mohammadehsani deatopsisapproachforrankingcreditinstitutions AT abolfazldanaei deatopsisapproachforrankingcreditinstitutions |