References
- A. Charnes, W. Cooper & E. Rhodes. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. https://doi.org/10.1016/0377-2217(78)90138-8
- R. Banker, A. Charnes & W. Cooper. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management Science, 30(9), 1078-1092. https://doi.org/10.1287/mnsc.30.9.1078
- J. S. Hwang. (2003). The Analysis on Management Efficiency for the Regional Agricultural Cooperatives. Journal of Industrial Economics and Business, 16(4), 29-43.
- H. A. Kang & C. H. Park. (2016). A comparative study of management efficiency in credit business of unit Nonghyup and Unit SuHyup. Korean Journal of Cooperative Studies, 34(3), 45-71. https://doi.org/10.35412/KJCS.2016.34.3.003
- J. H. Jung & S. M. Lim. (2014). Investigation of efficiency and productivity of Saemaul Credit Cooperatives by Using DEA-Malmquist Productivity Measure. Korean Journal of Financial Engineering, 13(1), 79-100. https://doi.org/10.35527/KFEDOI.2014.13.1.004
- B. C. Kim. (2013). Union efficiency change by using non-radial SBM Model and DEA Window Model. Journal of Professional Management, 16(3), 39-60.
- D. H. Rho & S. W. Hahn. (2001). A Study on the Management Efficiency of Gunsan Credit Cooperatives by Data Envelopment Analysis. Regional Development Study, 2(1), 71-89.
- M. S. Lee & U. S. Beon. (2003). A Study on Improvements of Efficiency of Community Credit Cooperatives. Korean Academic Society of Accounting, 8(2), 79-98.
- B. Y. Hong & J. O. Gu. A Data Envelopment Analysis of the Efficiency of Credit Unions. Management Study, 17(4), 121-138.
- S. S. Koh. (2003). Management efficiency measurement of credit union in Jeonrabukdo district. Accounting Information Review, 19, 221-236.
- E. K. Kang. A measurement of credit union efficiency by slack-based measure. Journal of Business Research, 2015, 30(4), 1-26. https://doi.org/10.22903/JBR.2015.30.4.1
- J. D. Kim, Y. S. Cho and S. C. Park. (2014). Managerial efficiency of local credit unions using bootstrap DEA. Korean Journal of Financial Engineering, 13(1), 101-127. https://doi.org/10.35527/kfedoi.2014.13.1.005
- J. U. Baek. (2001). An efficiency analysis of Korean thrift institutions through DEA. Journal of Industrial Economics and Business, 24(3), 1363-1378.
- Y. H. Hahn & Y. S. Kim. Analysis of efficiency for community credit cooperative by DEA. Korea International Accounting Review, 66, 99-120.
- B. Amoah, K. Ohene-Asare, G. Bokpin & A. Aboagye. (2018). Technical efficiency: the pathway to credit union cost efficiency in Ghana. Managerial Finance, 44(11), 1292-1310. https://doi.org/10.1108/MF-10-2017-0431
- H. Fukuyama & W. L. Weber. (2012). Estimating twostage network technology inefficiency, an application to cooperative Shinkin Banks in Japan. International Journal of Operations Research and Information Systems, 3(2), 2012, pp. 1-23. https://doi.org/10.4018/joris.2012040101
- H. Fukuyama & W. L. Weber. (2015). Measuring Japanese bank performance: a dynamic network DEA approach. Journal of Productivity Analysis, 44, 240-264.
- P. Wanke & C. Barros. (2014). Two-stage DEA: an application to major Brazilian banks. Expert Systems With Applications, 41(5), 2337-2344. https://doi.org/10.1016/j.eswa.2013.09.031
- S. Akther, H. Fukuyama & W. Weber. (2013). Estimating two-stage network slacks-based inefficiency: an application to Bangladesh banking. Omega, 41, 88-96. https://doi.org/10.1016/j.omega.2011.02.009
- S. Malmquist. (1953). Index Numbers and Indifference Surfaces. Trabajos De Estatistica, 4, 209-242. https://doi.org/10.1007/BF03006863
- R. S. Fare, S. Grosskopf & C. A. Lovell. (1994). Production Frontiers. Cambridge University Press.
- J. K. An. (2001). Analysis on the Efficiency of Domestic Banks in the Process of Restructuring: DEA and Malmquist Index Approaches. Journal of Korean Economic Studies, 6, 5-39.
- F. Pasiouras & E. Sifodaskalakis. (2007). Total Factor Productivity Change of Greek Cooperative Banks. University of Bath Working Paper. 2007.
- A. Bonfiglio. (2006). Efficiency and Productivity Changes of the Italian Agrifood Cooperatives: A Malmquist Index Analysis. Working Paper 250, Universita' Politecnica delle Marche(I), Dipartimento di Scienze Economiche e Sociali,
- B. S. Bassem. (2014). Total Factor Productivity Change of MENA Microfinance Institutions: A Malmquist Productivity Index Approach. Economic Modelling, 39, 182-189. https://doi.org/10.1016/j.econmod.2014.02.035
- B. Z. Gebremichae & D. I. Rani. (2012). Total Factor Productivity Change of Ethiopian Microfinance Institutions (MFIs): A Malmquist Productivity Index Approach (MPI). European Journal of Business and Management, 4(3), 105-114.
- G. Krishnasamy. (2004). A. Ridzwa, and P. Vignesan, "Malaysian Post-merger Banks' Productivity: Application of Malmquist Productivity Index. Management and Finance, 30, 63-74.
- F. Sufian. (2007). Total Factor Productivity Change in Non-bank Financial Institutions: Evidence from Malaysia Applying A Malmquist Productivity Index (MPI). Applied Econometrics and International Development, 7(1), 177-186.
- H. C. Kim. (2017). An analysis of efficiency for credit union in Daejeon and Chungcheong by employing dynamic and network SBM. Journal of Industrial Economics and Business, 30(1), 189-215. https://doi.org/10.22558/jieb.2017.02.30.1.189
- H. Fukuyama & W. L. Weber. (2017). Measuring bank performance with A dynamic network Luenberger indicator. Annals of Operations Research, 250(1), 85-104. https://doi.org/10.1007/s10479-015-1922-5
- F. Serrano, L. Guerrero, G. Waeselynck, G. Cheng and P. Zervopoulos. (2014). A dynamic network DEA model: an application to Mexican commercial banks before and after the 2008 global financial crisis. Proceedings of the 12th International Conference of DEA.
- K. Tone & M. Tsutsui, (2014). Dynamic DEA with network structure: a slacks-based measure approach. Omega, 42, 124-131. https://doi.org/10.1016/j.omega.2013.04.002
- W. W. Cooper, L. M. Seiford & K. Tone. (2007). Some models measures for evaluating performances with DEA : past accomplishments and future prospects. Journal of Productivity Analysis, 28(3), 151-163. https://doi.org/10.1007/s11123-007-0056-4
- A. Berger & D. Humphrey. (1997). Measurement and Efficiency Issues in Commercial Banking. in Output Measurement in the Service Sectors, edited by Z. Griliches, University of Chicago Press.