| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Truong, Thi Thuy Duong | |
| dc.contributor.other | Pham, Thi Hoang Anh | |
| dc.date.accessioned | 2023-11-01T10:23:41Z | - |
| dc.date.available | 2023-11-01T10:23:41Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 1942-0020 | |
| dc.identifier.uri | https://dlib.neu.edu.vn/handle/NEU/58628 | - |
| dc.description | Financial banking | |
| dc.description.abstract | Banking has always played an important role in the economy because of its effcts on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversifid. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam. | |
| dc.description.tableofcontents | 1. Introduction; 2. Methodology; 3. The multi-criteria decision making model for ranking banks; 4. Conclusion | |
| dc.format.extent | Khổ 21 x 29.7 | |
| dc.language.iso | en | |
| dc.publisher | Kinh Tế Quốc Dân | |
| dc.subject | Financial ratios | |
| dc.subject | multi- criteria | |
| dc.subject | performance’s bank | |
| dc.subject | TOPSIS | |
| dc.title | Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam | |
| dc.type | Journal of Economics and Development | |
| dc.identifier.barcode | Article 9_JED_Vol 21_Special Issue | |
| dc.relation.reference | Ayadi, O.F., Adebayo, A.O. and Omolehinwa, O. (1998), ‘Bank performance measurement in a developing economy: an application of data envelopment analysis’, Managerial Finance, 24(7), 5-16. Badreldin, A.M. (2009), ‘Measuring the performance of Islamic banks by adapting conventional ratios’, Working Paper No. 16, German University in Cairo. Cetin, M.K. and Cetin, E.I. (2010), ‘Multi-criteria analysis of bank’s performances’, International Journal of Economics and Financial studies, 2, 73-78. Dat, L.Q., Phuong, T.T., Kao, H.P., Chou, S.Y., Nghia, P.V. (2015), ‘A new integrated fuzzy QFD approach for market segments evaluation and selection’, Applied Mathematical Modeling, 39, 3653-3665. Dong, Y., Firth, M., Hou, M. and Yang, W. (2016), ‘Evaluating the performance of Chinese commercial banks: A comparative analysis of diffrent types of banks’, European Journal of Operation Research, 252(1), 280-295. Hwang, C.L. and Yoon, K. (1981), Multiple attribute decision making-methods and applications: A state of the art survey, Springer-Verlag, Germany. Jenlena, S. and Evelina, M. (2012), ‘The evaluation of bank performance using a multicriteria decisionmaking model: A case study on Lithuanian commercial banks’, Technology and Economic Development of Economy, 18(1), 189-205. Kaplan, R.S. and Norton, D.P. (1996), ‘Using the balanced scorecard as a strategic management system’, Harvard Business Review, 74, 75-85. Karr, J. (2005), ‘Performance measurement in banking: beyond ROE’, Journal of Performance Measurement, 18(2),56-70. Kelemenis, A. and Askounis, D. (2010), ‘A new TOPSIS-based multi-criteria approach for personal selection’, Expert Systems with Applications, 37, 4999-5008. Mahdevari, S., Shahriar, K. and Esfahanipour, A. (2014), ‘Human health and safety risks management in underground coal mines using fuzzy TOPSIS’, Science of the Total Environment, 488-489, 85-99. Mishkin, F. and Eakins, S. (2012), Financial markets and institutions, Perason. Pinto, P., Hawaldar, I.T., Rahiman, H.U., Rajes, T.M. and Sarea, A. (2017), ‘An education of fiancial performance of commercial banks’, International Journal of Applied Business and Economic Research, 15(22), 605-618. Seçme, N.Y, Ali B. ˘lu and Kahraman, C. (2009), ‘Fuzzy performance evaluation in Turkish banking sector using analytic hierarchy process and TOPSIS’, Expert Systems with Applications, 36, 11699-11709. Şengül, Ü., Eren, M., Shiraz, S.E., Volkan, G. and Şengül, A.B. (2015), ‘Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey’, Renewable Energy, 75, 617-625. Shen, L., Olfat, L., Govindan, K., Khodaverdi, R. and Diabat, A. (2013), ‘A fuzzy multi criteria approach for evaluating green supplier’s performance in green supply chain with linguistic preferences’, Resources, Conservation and Recycling, 74, 170-179. Sherman, H.D. and Gold, F. (1985), ‘Bank branch operating effiency: evaluation with data envelopment analysis’, Journal of Banking and Finance, 9(2), 297-316. Tao, L., Liu, X. and Chen, Y. (2013), ‘Online banking performance evaluation using data envelopment analysis and axiomatic fuzzy set clustering’, Qual. Quant., 47, 1259-1273. Wang, Y.J. (2014), ‘The evaluation of fiancial performance for Taiwan container shipping companies by fuzzy TOPSIS’, Applied Soft Computing, 22, 28-35. Zadeh, L.A. (1965), ‘Fuzzy sets’, Information and Control, 8(3), 338-353. | |
Bộ sưu tập | 02. Tạp chí (Tiếng Anh) | |
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| Trường DC | Giá trị | Ngôn ngữ |
|---|---|---|
| dc.contributor.author | Truong, Thi Thuy Duong | |
| dc.contributor.other | Pham, Thi Hoang Anh | |
| dc.date.accessioned | 2023-11-01T10:23:41Z | - |
| dc.date.available | 2023-11-01T10:23:41Z | - |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 1942-0020 | |
| dc.identifier.uri | https://dlib.neu.edu.vn/handle/NEU/58628 | - |
| dc.description | Financial banking | |
| dc.description.abstract | Banking has always played an important role in the economy because of its effcts on individuals as well as on the economy. In the process of renovation and modernization of the country, the system of commercial banks has changed dramatically. Business models and services have become more diversifid. Therefore, the performance of commercial banks is always attracting the attention of managers, supervisors, banks and customers. Bank ranking can be viewed as a multi-criteria decision model. This article uses the technique for order of preference by similarity to ideal solution (TOPSIS) method to rank some commercial banks in Vietnam. | |
| dc.description.tableofcontents | 1. Introduction; 2. Methodology; 3. The multi-criteria decision making model for ranking banks; 4. Conclusion | |
| dc.format.extent | Khổ 21 x 29.7 | |
| dc.language.iso | en | |
| dc.publisher | Kinh Tế Quốc Dân | |
| dc.subject | Financial ratios | |
| dc.subject | multi- criteria | |
| dc.subject | performance’s bank | |
| dc.subject | TOPSIS | |
| dc.title | Applying the Multi-Criteria Decision Making Model for Ranking Commercial Banks: The Case of Vietnam | |
| dc.type | Journal of Economics and Development | |
| dc.identifier.barcode | Article 9_JED_Vol 21_Special Issue | |
| dc.relation.reference | Ayadi, O.F., Adebayo, A.O. and Omolehinwa, O. (1998), ‘Bank performance measurement in a developing economy: an application of data envelopment analysis’, Managerial Finance, 24(7), 5-16. Badreldin, A.M. (2009), ‘Measuring the performance of Islamic banks by adapting conventional ratios’, Working Paper No. 16, German University in Cairo. Cetin, M.K. and Cetin, E.I. (2010), ‘Multi-criteria analysis of bank’s performances’, International Journal of Economics and Financial studies, 2, 73-78. Dat, L.Q., Phuong, T.T., Kao, H.P., Chou, S.Y., Nghia, P.V. (2015), ‘A new integrated fuzzy QFD approach for market segments evaluation and selection’, Applied Mathematical Modeling, 39, 3653-3665. Dong, Y., Firth, M., Hou, M. and Yang, W. (2016), ‘Evaluating the performance of Chinese commercial banks: A comparative analysis of diffrent types of banks’, European Journal of Operation Research, 252(1), 280-295. Hwang, C.L. and Yoon, K. (1981), Multiple attribute decision making-methods and applications: A state of the art survey, Springer-Verlag, Germany. Jenlena, S. and Evelina, M. (2012), ‘The evaluation of bank performance using a multicriteria decisionmaking model: A case study on Lithuanian commercial banks’, Technology and Economic Development of Economy, 18(1), 189-205. Kaplan, R.S. and Norton, D.P. (1996), ‘Using the balanced scorecard as a strategic management system’, Harvard Business Review, 74, 75-85. Karr, J. (2005), ‘Performance measurement in banking: beyond ROE’, Journal of Performance Measurement, 18(2),56-70. Kelemenis, A. and Askounis, D. (2010), ‘A new TOPSIS-based multi-criteria approach for personal selection’, Expert Systems with Applications, 37, 4999-5008. Mahdevari, S., Shahriar, K. and Esfahanipour, A. (2014), ‘Human health and safety risks management in underground coal mines using fuzzy TOPSIS’, Science of the Total Environment, 488-489, 85-99. Mishkin, F. and Eakins, S. (2012), Financial markets and institutions, Perason. Pinto, P., Hawaldar, I.T., Rahiman, H.U., Rajes, T.M. and Sarea, A. (2017), ‘An education of fiancial performance of commercial banks’, International Journal of Applied Business and Economic Research, 15(22), 605-618. Seçme, N.Y, Ali B. ˘lu and Kahraman, C. (2009), ‘Fuzzy performance evaluation in Turkish banking sector using analytic hierarchy process and TOPSIS’, Expert Systems with Applications, 36, 11699-11709. Şengül, Ü., Eren, M., Shiraz, S.E., Volkan, G. and Şengül, A.B. (2015), ‘Fuzzy TOPSIS method for ranking renewable energy supply systems in Turkey’, Renewable Energy, 75, 617-625. Shen, L., Olfat, L., Govindan, K., Khodaverdi, R. and Diabat, A. (2013), ‘A fuzzy multi criteria approach for evaluating green supplier’s performance in green supply chain with linguistic preferences’, Resources, Conservation and Recycling, 74, 170-179. Sherman, H.D. and Gold, F. (1985), ‘Bank branch operating effiency: evaluation with data envelopment analysis’, Journal of Banking and Finance, 9(2), 297-316. Tao, L., Liu, X. and Chen, Y. (2013), ‘Online banking performance evaluation using data envelopment analysis and axiomatic fuzzy set clustering’, Qual. Quant., 47, 1259-1273. Wang, Y.J. (2014), ‘The evaluation of fiancial performance for Taiwan container shipping companies by fuzzy TOPSIS’, Applied Soft Computing, 22, 28-35. Zadeh, L.A. (1965), ‘Fuzzy sets’, Information and Control, 8(3), 338-353. | |
Bộ sưu tập | 02. Tạp chí (Tiếng Anh) | |
