1 |
Pramodh, C., Ravi, V., & Nagabhushanam, T. (2008). Indian banks' productivity ranking via Data Envelopment Analysis and Fuzzy Multi-Attribute Decision-Making hybrid. International Journal of Information and Decision Sciences, 1(1), 44-65. DOI: 10.1504/IJIDS.2008.020035
DOI
|
2 |
Sanjeev, G. M. (2006). Data envelopment analysis (DEA) for measuring Technical efficiency of banks. Vision: The Journal of Business Perspective, 10(1), 13-27.
DOI
|
3 |
Paradi, J. C., & Zhu, H. (2013). A survey on bank branch efficiency and performance research with data envelopment analysis. Omega, 41, 61-79.
DOI
|
4 |
Violeta C. V., & Cikovi'c, K. F. (2020). Assessing the relative efficiency of commercial banks in the Republic of North Macedonia: DEA window analysis. Croatian Operational Research Review, CRORR 11, 217-227.
DOI
|
5 |
Yasmeen, W. (2011). Technical efficiency in the Bangladeshi banking industry: A non-parametric analysis. The 2011 Barcelona European Academic Conference, Barcelona, Spain, 1099-1109.
|
6 |
Zhu, J. (2002). Quantitative models for performance evaluation and bench marking: data envelopment analysis with spreadsheets. Boston: Kluwer Academic Publishers.
|
7 |
Chen, Z., Matousekb, R., and Wanke, P. (2017). Chinese Bank efficiency during the global financial crisis: A combined approach using satisfying DEA and support vector machines. North American Journal of Economics and Finance, 43, 71-86. https://doi.org/10.1016/j.najef.2017.10.003
DOI
|
8 |
Chen, T. Y. (2004). A Study of cost efficiency and privatization in Taiwan's banks: The impact of the Asian financial crisis. The Service Industries Journal, 24, 137-151.
DOI
|
9 |
Sigala, M. (2003). The Information and communication technologies productivity impact on the uk hotel sector. Int J Oper Prod Manag, 23(10), 1224-1245. DOI: 10.1504/IJIDS.2008.020035
DOI
|
10 |
Sohrab, S. M., & Suzuki, Y. (2011). Financial Reform, Ownership and Performance in Banking Industry: The Case of Bangladesh. International Journal of Business and Management. 6(7), 28-39.
|
11 |
Syrine, B. R. (2013). Impact of information technology on the performance of Tunisian banks: A stochastic frontier analysis with panel data. Asian Academy of Management Journal of Accounting and Finance (AAMJAF), 9(2), 95-125.
|
12 |
Titko, J., Stankeviciene, J., & Lace, L. (2014). Measuring bank efficiency: DEA application. Technol Econ Dev Econ., 20(4), 739-757.
DOI
|
13 |
Diallo, B. (2018). Bank Efficiency and industry growth during financial crises. Economic Modeling, 68, 11-22.
DOI
|
14 |
Dash, D., Yang, Z., & Liang, L. (2006). Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank. Expert Syst Appl, 31, 108-115.
DOI
|
15 |
Dalgleish, T., Williams, J. M. G., & Golden, A. M. J. (2007). Efficiency of banks in a developing economy: The case of India. J Exp Psychol Gen, 136(1), 23-42.
DOI
|
16 |
Dewan, S., & Kraemer, K. L. (2000). Information technology and productivity: Evidence from country-level data. Management Science, 548-562.
|
17 |
Fatema, N., Siddik, A. B., & Ibrahim, A. M. (2019). Efficiency and productivity of commercial banks: Evidence from Bangladesh. North American Academic Research, 2(7), 190-208.
|
18 |
Fethi, M. D., & Pasiouras, F. (2010). Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey. European Journal of Operational Research, 204, 189-98.
DOI
|
19 |
Fries, S., & Taci, A. (2005). Cost efficiency of banks in transition: Evidence from 289 banks in 15 post communists' countries. Journal of Banking and Finance, 29(1), 55-81.
DOI
|
20 |
Coelli, T., Rao, D. S. P., O'Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis. USA: Springer.
|
21 |
Cvetkoska, V., & Savi'c, G. (2017). Efficiency of bank branches: Empirical evidence from a two-phase research approach. Economic Research-Ekonomska Istraživanja, 30, 318-333.
DOI
|
22 |
Grmanova', E. & Ivanova', E. (2018). Efficiency of banks in Slovakia: Measuring by DEA models. J Int Stud., 11 (1), 257-272.
DOI
|
23 |
Gulati, R., & Kumar, S. (2016). Assessing the impact of the global financial crisis on the profit efficiency of Indian banks. Economic Modelling, 58, 167-181. DOI:10.1016/j.econmod.2016.05.029
DOI
|
24 |
Ahmed, M. S., & Liza, F. F. (2013). Efficiency of commercial banks in Bangladesh-A Data Envelopment Analysis. European Journal of Economics, Finance & Administrative Science, 130-152.
|
25 |
Appiahene, P., Ussiph, N., & Missah, Y. M. (2018). Information technology impact on productivity: A systematic review and meta-analysis of the literature. Int J Inf Commun Technol Hum Dev, 10(3), 39-61.
DOI
|
26 |
Tuskan, B., & Stojanovi'c, A. (2016). Measurement of cost efficiency in the European banking industry. Croatian Operational Research Review, 7, 47-66.
DOI
|
27 |
Ariff, M., & Can, L. (2008). Cost and profit efficiency of Chinese banks: A non-parametric analysis. China Economic Review, 19(2), 260-273. https://doi.org/10.1016/j.chieco.2007.04.001
DOI
|
28 |
Ascarya, Y. D., Achsani, N. A., & Rokhimah, G. S. (2008). Measuring the Efficiency of Islamic Bank in Indonesia and Malaysia using Parametric and Nonparametric Approach. 3rd International Conference on Islamic Banking and Finance, SBP-IRTI, Jakarta, Indonesia, February 23-24, Bank Indonesia:Center for Central Banking Education and Studies.
|
29 |
Bader, M. K. (2007). Cost, revenue and profit efficiency of conventional banks: Evidence from nineteen developing countries. In capital markets in emerging markets: Malaysia, (ed), M. Ariff, M. Shamsher, and T. Hassan, pp. (chapter 25). Kuala Lumpur: McGraw-Hill.
|
30 |
Bakos, J. Y., & Kemerer, C. F. (1992). Recent applications of economic theory in information technology research. Decision Support Systems, 8, 365-86.
DOI
|
31 |
Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Somemodels for estimating technical and scale efficiencies in data envelopment analysis. Management Science, 30, 1078-1092.
DOI
|
32 |
Berger, A. N., & Mester, L. J. (2003). Explaining the dramatic changes in performance of US Banks: Technological change, deregulation, and dynamic changes in competition. Journal of Financial Intermediation, 12, 57-95.
DOI
|
33 |
Bonin, J. P., Hasan, I., & Wachtel, P. (2005a). Bank performance, efficiency and ownership in transition countries. Journal of Banking & Finance, 29(1), 31-53.
DOI
|
34 |
Violeta C. V., & Cikovi'c, K. F. (2021). Efficiency Analysis of Macedonian and Croatian Banking Sectors with DEA. Economy, Business & Development, 2(2), 1-19. DOI:10.47063/ebd.00003
DOI
|
35 |
Bos, J. W. B., & Schmiedel, H. (2003). Comparing efficiency in European banking: A meta frontier approach. De Nederlandsche Bank Research Papers, 57, Available at SSRN: https://ssrn.com/abstract=460060 or http://dx.doi.org/10.2139/ssrn.460060
|
36 |
Uddin, S. M. S., & Suzuki, Y. (2011). Financial reform, ownership and performance in banking industry: The case of Bangladesh. International Journal of Business & Management, 6(7), 28-39.
|
37 |
Vander, V. R. (2002). Cost and profit efficiency of financial conglomerates and universal banks in Europe. Journal of Money, Credit and Banking, 34, 254-282.
DOI
|
38 |
Weill, L. (2004). Measuring cost efficiency in European banking: A comparison of frontier techniques. Journal of Productivity Analysis, 21, 133-152.
DOI
|
39 |
Berger, A. N., & DeYoung, R. (2001). The effects of geographic expansion on bank efficiency. Journal of Financial Services Research, 19(2), 163-184
DOI
|
40 |
Azad, M. A. K., Wanke, P., Raihan, M. Z., Anwar, S. M R., & Mustafa, R. (2020). Bank efficiency in Bangladesh revisited: A slack-based network DEA approach. Journal of Economic Studies, 47(5), 1001-1014. https://doi.org/10.1108/JES-01-2019-0029
DOI
|
41 |
Asmild, M., & Zhu, M. (2016). Controlling for the use of extreme weights in bank efficiency assessments during the financial crisis. European Journal of Operational Research, 251, 999-1015.
DOI
|
42 |
Sarifuddin, S., Ismail, M. K., & Kumaran, V. V. (2015). Comparison of banking efficiency in the selected ASEAN countries during the global financial crisis. PROSIDING PERKEM, 10, 286-293.
|
43 |
Savi'c, G., Radosavljevi'c, M., & Ilievski, D. (2012). DEA window analysis approach for measuring the efficiency of Serbian banks based on panel data. Management - Journal for theory and practice of management, 17(65), 5-14.
DOI
|
44 |
Clark, J. A., & Siems, T. (2002). X-Efficiency in banking: Looking beyond the balance sheet. Journal of Money, Credit and Banking, 34(4), 987-1013.
DOI
|
45 |
Chen, Y., Liang, L., Yang, F., & Zhu, J. (2006). Evaluation of information technology investment: A Data Envelopment Analysis approach. Comput Oper Res, 33, 1368-1379.
DOI
|
46 |
Oluwagbemi, O., Abah, J., & Achimugu, P. (2011). The impact of Information Technology in Nigeria's banking industry. Journal of Computer Science and Engineering, 7(2), 63-67.
|
47 |
Fiorentino, E., Karmann, A., & Koetter, M. (2006). The Cost efficiency of German banks: A comparison of SFA and DEA. Bundesbank Series 2 Discussion Paper No. 10, Available at SSRN: https://ssrn.com/abstract=2793983
|
48 |
Aggelopoulos, E., & Georgopoulos, A. (2017). Bank branch efficiency under environmental change: A bootstrap DEA on monthly profit and loss accounting statements of Greek retail branches. Eur J Oper Res, 261, 1170-1188.
DOI
|
49 |
Nand, K., & Archana, S. (2015). Measuring technical and scale efficiency of banks in India using DEA. IOSR J Bus Manag, 17(1), 66-71.
|
50 |
Appiahene, P., Missah, Y. M., & Najim, U. (2019). Evaluation of information technology impact on bank's performance: The Ghanaian experience. International Journal of Engineering Business Management, 11, 1-10. https://doi.org/10.1177/1847979019835337
DOI
|
51 |
Islam, S., & Kassim, S. (2015). Efficiency of Islamic and Conventional banks in Bangladesh: Comparative study using DEA approach. Journal of Islamic Economics, Banking and Finance, 11(3), 83-110.
DOI
|
52 |
Halkos, G. E., & Salamouris, D. S. (2004). Efficiency measurement of the Greek commercial banks with the use of financial ratios: A data development analysis approach. Manag Account Res, 15(2), 201-224.
DOI
|
53 |
Haque, S. (2013). The performance analysis of private conventional banks: A case study of Bangladesh. IOSR Journal of Business and Management,12(1), 19-25.
DOI
|
54 |
Hossian, M. M., Sobhan, M. A., & Sultana, S. (2016). Application of DEA methodology in measuring efficiency of some selected commercial banks in Bangladesh. JUJSS, 33, 57-64.
|
55 |
Islam, M. N., Sabur, M. A., & Khan, A. G. (2017). Efficient and effective operations of commercial banks in Bangladesh: An evaluation. Journal of Science and Technology, 7(1 & 2), 93-108.
|
56 |
Isik, I., & Hassan, M. K. (2002a). Technical, scale and allocative efficiencies of Turkish banking industry. Journal of Banking and Finance, 26, 719-766.
DOI
|
57 |
Isik, I., & Hassan, M. K. (2002b). Cost and profit efficiency of the Turkish banking industry: An empirical investigation. The Financial Review, 37, 257-280.
DOI
|
58 |
Kauffman, R. J., & Weill, P. (1989). An evaluative framework for research on the performance effects of information technology investment. In: Proceedings of the 10th international conference on information systems. Boston: 377-388.
|
59 |
Fare, R., Grosskopf, S., & Weber, W. L. (2004). The effect of risk-based capital requirements on profit efficiency in banking. Applied Economics, 36(15), 1731-1743.
DOI
|
60 |
Bader, M. K. I., Mohamed, S., Ariff, M., & Hassan, T. (2008). Cost, revenue, and profit efficiency of Islamic versus Conventional banks: International evidence using Data Envelopment Analysis. Islamic Economic Studies, 15(2), 23-76.
|
61 |
Banker, R. D., Kauffman, R. J., & Morey, R. C. (1990). Measuring gains in operational efficiency from information technology: A study of the positran deployment at hardee's inc. J Manag Inf Syst, 7(2), 29-54.
DOI
|
62 |
Bhuia, M. R., Baten, M. A., Kamil, A. A., & Deb, N. (2012). Evaluation of online bank efficiency in Bangladesh: A Data Envelopment Analysis (DEA) approach. Journal of Internet Banking and Commerce, 17(2), 1-17.
|
63 |
Brynjolfsson, E., & Hitt, L. M. (1998). Beyond the productivity paradox. Communications of the ACM, 41(8), 49-56.
DOI
|
64 |
Brynjolfsson, E., & Hitt, L. M. (2000). Beyond computation: Information technology, organizational transformation and business performance. The Journal of Economic Perspectives, 14(4), 23-48.
DOI
|
65 |
Jemric, I., & Vujcic, B. (2002). Efficiency of banks in Croatia: A DEA approach. Comp Econ Stud., 44(2-3), 169-193.
DOI
|
66 |
Maudos, J., & Pastor, J. M. (2003). Cost and profit efficiency in the Spanish banking sector (1985-1996): A nonparametric approach. Applied Financial Economics, 13(1), 1-12.
DOI
|
67 |
Hoque, M. R., & Rayhan, M. I. (2012). Data Envelopment Analysis of Banking sector in Bangladesh. Russian Journal of Agricultural and Socio-Economic Sciences, 5, 17-22.
DOI
|
68 |
Licht, G., & Moch, D. (1999). Innovation and information technology in services. Canadian Journal of Economics, 32(2), 48-61.
|
69 |
Madjid, T., Mohammad, H. K., & Mohsen, J. S. (2009). Information technology's impact on productivity in conventional power plants. Int J Bus Performance Manag, 11(3), 187-202.
DOI
|
70 |
Majid, K. (2012). Efficiency analysis by using Data Envelop Analysis model: Evidence from Indian banks. International Journal of Latest Trends in Finance & Economic Sciences, 2(3), 228-237.
|
71 |
Maudos, J., Pastor, J. M., & Perez, F. (2002). Competition and efficiency in the Spanish banking sector: The importance of specialization. Applied Financial Economics, 12, 505-516.
DOI
|
72 |
Mariani, A. M., David, S. S., & Giuliana, B. (2011). The impact of Islamic banking on the cost efficiency and productivity change of Malaysian commercial banks. Applied Economics, 43(16), 2033-2054. https://doi.org/10.1080/00036840902984381
DOI
|
73 |
Miller, S. M., & Noulas, A. G. (1996). The Technical efficiency of large bank production. Journal of Banking & Finance, 20(3), 495-509.
DOI
|
74 |
Nii, A. S., Aboagye, A. Q. Q., & Gemegah, A. (2012). Technical efficiency of the Ghanaian banking industry and the effects of the entry of foreign banks technical efficiency of the Ghanaian banking industry and the effects of the entry of foreign banks. J African Bus, 13(3), 232-243.
DOI
|
75 |
Noulas, A. G. (2001). Deregulation and operating efficiency: the case of the Greek banks. Managerial Finance, 27(8), 35-47.
DOI
|
76 |
Prasad, B., & Harker, P. T. (1997). Examining the contribution of information technology toward productivity in US retail banking. (Working paper), Wharton School, University of Pennsylvania.
|
77 |
Adusei, M. (2016). Modeling the efficiency of universal banks in Ghana. Quant Financ Lett, 95(2), 60-70.
DOI
|
78 |
Cao, X., & Yang, F. (2011). Measuring the performance of internet companies using a two-stage data envelopment analysis model. Enterp Inf Syst, 5(2), 207-217.
DOI
|
79 |
Brynjolfsson, E., Hitt, L. M., & Yang, S. (2002). Intangible assets: Computers and organizational capital. Brookings Papers on Economic Activity, 1, 137-181.
DOI
|
80 |
Carr, N. G. (2003). IT doesn't matter. Harvard Business Review, 81(5), 41-49.
|
81 |
Carvallo, O., & Kasman, A. (2005). Cost efficiency in the Latin American and Caribbean banking system. Journal of International Financial Markets, Institutions and Money, 15(1), 55-72.
DOI
|
82 |
Charnes, A., Cooper, W. W., and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2, 429-44.
DOI
|
83 |
Chen, Y., & Zhu, J. (2004). Measuring information technology's indirect impact on firm performance. Inf Technol Manag, 5(1-2), 9-22.
DOI
|
84 |
Brynjolfsson, E., & Hitt, L. M. (1996). Paradox lost? firm-level evidence on the returns to information systems spending. Management Science, 42(4), 541-58.
DOI
|
85 |
Khanam, M. D., & Nghiem, H. S. (2003). Efficiency of banks in Bangladesh: A non-parametric approach. Working Paper.
|
86 |
Kristina, K. (2014). Application of Data Envelopment Analysis to measure cost, revenue and profit efficiency. Statistika, 94(3), 47-57.
|
87 |
Loveman, G. W. (1994). An assessment of the productivity impact of information technologies. In T. J. Allen and M. S. Scott Morton (eds.), Information technology and the corporation of the 1990s: Research Studies, Oxford University Press, 84-110.
|