1. About the Basel Committee, October 2014.< http://www.bis.org/bcbs/about.htm>. accessed:20 January 2015.
2. Achim, M. V., Sorin, A., & Sorin, B. (2008). Tools of Financial Analysis.
3. Adler, N., & Raveh, A. (2008). Presenting DEA graphically. Omega, 36(5), 715-729.
4. Ahmad, T. (2000). The Efficiency of The Banking System in Jordan (Doctoral dissertation, PhD Thesis, Colorado State University, Fort Collins, Colorado, US).
5. Ahmad, R., Ariff, M., & Skully, M. J. (2008). The determinants of bank capital ratios in a developing economy. Asia-Pacific financial markets, 15(3-4), 255-272.
6. Aigner, D. J., Amemiya, T., & Poirier, D. J. (1976). On the estimation of production frontiers: maximum likelihood estimation of the parameters of a discontinuous density function. International Economic Review, 377-396.
7. Aigner, D., Lovell, C. K., & Schmidt, P. (1977). Formulation and estimation of stochastic frontier production function models. journal of Econometrics, 6(1), 21-37.
8. Alam, N. (2012). The impact of regulatory and supervisory structures on bank risk and efficiency: Evidence from dual banking system. Asian Journal of Finance & Accounting, 4(1), 216-244.
9. Al-Faraj, T. N., Bu-Bshait, K. A., & Al-Muhammad, W. A. (2006). Evaluating the efficiency of Saudi commercial banks using data development analysis. International Journal of Financial Services Management, 1(4), 466-477.
10. Ali, A. I., & Lerme, C. S. (1997). Comparative advantage and disadvantage in DEA. Annals of Operations Research, 73, 215-232.
11. Alirezaee, M. R., Howland, M., & van de Panne, C. (1998). Efficiency bias in DEA: A simulation study on a large scale bank branches. Journal of Economics and Management, 37, 89-105.
12. Al-Jarrah, I., & Molyneuxa, P. (2003). Cost Efficiency, Scale Elasticity and Scale Economies in Arabian Banking. Financial Development in Arab Countries, 25.
13. Al-Karasneh, I., Cadle, P. J., & Ford, J. L. (1997). Market Structure, Concentration and Performance: Jordanian Banking System, 1980-1993 (No. 97-12).
14. Almumani, M. A. (2013). The Relative Efficiency of Saudi Banks: Data Envelopment Analysis Models. International Journal of Academic Research in Accounting, Finance and Management Sciences, 3(3), 152-161.
15. Alsarhan, A. (2009). Banking efficiency in the Gulf Cooperation Council countries: An empirical analysis using data envelopment analysis approach. Colorado State University.
16. Al-Shammari, M., & Salimi, A. (1998). Modeling the operating efficiency of banks: a nonparametric methodology. Logistics Information Management, 11(1), 5-17.
17. Al Shamsi, F. S., Aly, H. Y., & El-Bassiouni, M. Y. (2009). Measuring and explaining the efficiencies of the United Arab Emirates banking system. Applied Economics, 41(27), 3505-3519.
18. Altman, D. G., & Bland, J. M. (1999). Statistics notes Variables and parameters. BMJ, 318(7199), 1667.
19. Altman, D. G., & Bland, J. M. (2009). Parametric v non-parametric methods for data analysis. BMJ, 338, a3167.
20. Amman Stock Exchange: www.exchange.jo, Amman, Jordan, 2015.
21. Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management science, 39(10), 1261-1264.
22. Athanassopoulos, A. D. (1995). Goal programming & data envelopment analysis (GoDEA) for target-based multi-level planning: allocating central grants to the Greek local authorities. European Journal of Operational Research, 87(3), 535-550.
23. Athanassopoulos, A. D., & Ballantine, J. A. (1995). Ratio and frontier analysis for assessing corporate performance: evidence from the grocery industry in the UK. Journal of the Operational Research Society, 427-440.
24. Avkiran, N. K. (2006). Developing foreign bank efficiency models for DEA grounded in finance theory. Socio-Economic Planning Sciences, 40(4), 275-296.
25. Avkiran, N. K. (1999). An application reference for data envelopment analysis in branch banking: helping the novice researcher. International Journal of Bank Marketing, 17(5), 206-220.
26. Avkiran, N. K., Tone, K., & Tsutsui, M. (2008). Bridging radial and non-radial measures of efficiency in DEA. Annals of Operations Research, 164(1), 127-138.
27. Avkiran, N. K., & Rowlands, T. (2008). How to better identify the true managerial performance: state of the art using DEA. Omega, 36(2), 317-324.
28. Avkiran, N. K. (2009). Opening the black box of efficiency analysis: an illustration with UAE banks. Omega, 37(4), 930-941.
29. Avkiran, N. K. (2011). Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks. Omega, 39(3), 323-334.
30. Badunenko, O., Fritsch, M., & Stephan, A. (2008). Allocative efficiency measurement revisited—Do we really need input prices?. Economic Modelling, 25(5), 1093-1109.
31. Banker, R. D., Charnes, A., & Cooper, W. W. (1984). Some models for estimating technical and scale inefficiencies in data envelopment analysis. Management science, 30(9), 1078-1092.
32. Banker, R. D., Cooper, W. W., Seiford, L. M., Thrall, R. M., & Zhu, J. (2004). Returns to scale in different DEA models. European Journal of Operational Research, 154(2), 345-362.
33. Banker, R. D., Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Returns to scale in DEA. In Handbook on data envelopment analysis (pp. 41-70). Springer US.
34. Banker, R. D., & Natarajan, R. (2008). Evaluating contextual variables affecting productivity using data envelopment analysis. Operations research, 56(1), 48-58.
35. Baptist, S., & Hepburn, C. (2013). Intermediate inputs and economic productivity. Philosophical Transactions of the Royal Society of London A: Mathematical, Physical and Engineering Sciences, 371(1986), 20110565.
36. Barr, N. (2012). The relevance of efficiency to different theories of society, Economics of the Welfare State.
37. Barr, N. (1992). Economic theory and the welfare state: a survey and interpretation. Journal of economic literature, 741-803.
38. Basel III: A global regulatory framework for more resilient banks and banking system, Dec.2010. <www.bis,org/publ/bcbs189.htm>. accessed : 10 January 2015
39. Basel Committee membership, October 2014. < http://www.bis.org/bcbs/membership.htmb>. 22 December 2014.
40. Battese, G. E., & Coelli, T. J. (1992). Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India (pp. 149-165). Springer Netherlands.
41. Bauer, P. W., Berger, A. N., Ferrier, G. D., & Humphrey, D. B. (1998). Consistency conditions for regulatory analysis of financial institutions: a comparison of frontier efficiency methods. Journal of Economics and Business, 50(2), 85-114.
42. Bazrkar, A., & Khalilpour, K. (2013). A comparative study on ranking the banks using Data Envelopment Analysis (DEA) and Stochastic Frontier Analysis (SFA) approach. International Research Journal of Applied and Basic Sciences, 4(2), 302-306.
43. Bdour, J. I., & Al-khoury, A. F. (2008). Predicting change in bank efficiency in Jordan: a data envelopment analysis. Journal of accounting & organizational change, 4(2), 162-181.
44. Berger, A. N., & DeYoung, R. (1997). Problem loans and cost efficiency in commercial banks. Journal of Banking & Finance, 21(6), 849-87.
45. Berger, A. N., & Humphrey, D. B. (1991). The dominance of inefficiencies over scale and product mix economies in banking. journal of Monetary Economics, 28(1), 117-148.
46. Berger, A. N., & Humphrey, D. B. (1997). Efficiency of financial institutions: International survey and directions for future research. European journal of operational research, 98(2), 175-212.
47. Bernstein, D. (1996). Asset quality and scale economies in banking. Journal of Economics and Business, 48(2), 157-166.
48. Bernstein, L. A. (1974). Understanding corporate reports: a guide to financial statement analysis (Vol. 1974). Dow Jones-Irwin.
49. Bernstein, L. A., & Wild, J. J. (1989). Financial statement analysis: theory, application, and interpretation (Vol. 212, pp. 213-573). Homewood, IL: Irwin.
50. Besley, S., & Brigham, E. (2007). Essentials of managerial finance. Cengage Learning.
51. Blackburn, V., Brennan, S., & Ruggiero, J. (2014). Input-Oriented Efficiency Measures in Australian Schools. In Nonparametric Estimation of Educational Production and Costs using Data Envelopment Analysis (pp. 101-117). Springer US.
52. Bogetoft, P., & Otto, L. (2011). Stochastic Frontier Analysis SFA. In Benchmarking with DEA, SFA, and R (pp. 197-231). Springer New York.
53. Boris, J., & Igor, V. (2001). Efficiency of Banks in Transition: A DEA Approach. Current issues in Emerging Market Economies, Croatian National Bank.
54. Branda, M. (2013). Reformulations of input–output oriented DEA tests with diversification. Operations Research Letters, 41(5), 516-520
55. Carletti, E. (2010). Competition, concentration and stability in the banking sector. IstEin WP, (8).
56. Casu, B., & Molyneux, P. (2003). A comparative study of efficiency in European banking. Applied Economics, 35(17), 1865-1876.
57. Caudill, S. B. (2002). SFA, TFA and a new thick frontier: graphical and analytical comparisons. Applied Financial Economics, 12(5), 309-317.
58. Central Bank of Jordan (2005). Yearly Statistical Series (1964 - 2003). Amman, Jordan.
59. Central Bank of Jordan (2004), Regulations Book, Central Bank of Jordan, Amman.
60. Central Bank of Jordan (2004), Annual Report, Central Bank of Jordan, Amman.
61. Central Bank of Jordan (2000), Banking Law, Central Bank of Jordan, Amman.
62. Chang, T. C., & Chiu, Y. H. (2006). Affecting factors on risk‐adjusted efficiency in Taiwan's banking industry. Contemporary Economic Policy, 24(4), 634-648.
63. Charnes, A. (Ed.). (1994). Data Envelopment Analysis: Theory, Methodology, and Applications: Theory, Methodology and Applications. Springer Science & Business Media.
64. Charnes, A., Cooper, W. W., Lewin, A. Y., & Seiford, L. M. (Eds.). (2013). Data envelopment analysis: Theory, methodology, and applications. Springer Science & Business Media.
65. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
66. Charnes, A., Cooper, W. W., & Rhodes, E. (1981). Evaluating program and managerial efficiency: an application of data envelopment analysis to program follow through. Management science, 27(6), 668-697.
67. Charnes, A., Cooper, W. W., Golany, B., Seiford, L., & Stutz, J. (1985). Foundations of data envelopment analysis for Pareto-Koopmans efficient empirical production functions. Journal of econometrics, 30(1), 91-107.
68. Charnes, A., Cooper, W. W., & Thrall, R. M. (1986). Classifying and characterizing efficiencies and inefficiencies in data development analysis. Operations Research Letters, 5(3), 105-110.
69. Chen, K. H. (2012). Incorporating risk input into the analysis of bank productivity: Application to the Taiwanese banking industry. Journal of Banking & Finance, 36(7), 1911-1927.
70. Chen, T. Y. (2002). A comparison of chance-constrained DEA and stochastic frontier analysis: bank efficiency in Taiwan. Journal of the Operational Research Society, 492-500.
71. Chen, T. Y., & Yeh, T. L. (1998). A study of efficiency evaluation in Taiwan's banks. International Journal of Service Industry Management, 9(5), 402-415.
72. Chen, T. Y., & Yeh, T. L. (1998). A study of efficiency evaluation in Taiwan's banks. International Journal of Service Industry Management, 9(5), 402-415.
73. Chiu, Y. H., & Chen, Y. C. (2009). The analysis of Taiwanese bank efficiency: incorporating both external environment risk and internal risk. Economic Modelling, 26(2), 456-463.
74. Chortareas, G. E., Girardone, C., & Ventouri, A. (2012). Bank supervision, regulation, and efficiency: Evidence from the European Union. Journal of Financial Stability, 8(4), 292-302.
75. Chortareas, G. E., Girardone, C., & Ventouri, A. (2013). Financial freedom and bank efficiency: Evidence from the European Union. Journal of Banking & Finance, 37(4), 1223-1231.
76. Cobb, C. W., & Douglas, P. H. (1928). A theory of production. The American Economic Review, 139-165.
77. Coelho, D. A. (2014). Association of CCR and BCC Efficiencies to Market Variables in a Retrospective Two Stage Data Envelope Analysis. In Human Interface and the Management of Information. Information and Knowledge in Applications and Services (pp. 151-159). Springer International Publishing.
78. Coelli, T. J., Rao, D. S. P., O'Donnell, C. J., & Battese, G. E. (2005). An introduction to efficiency and productivity analysis. Springer Science & Business Media.
79. Cook, W. D., Liang, L., & Zhu, J. (2010). Measuring performance of two-stage network structures by DEA: a review and future perspective. Omega, 38(6), 423-430.
80. Cook, W. D., & Seiford, L. M. (2009). Data envelopment analysis (DEA)–Thirty years on. European Journal of Operational Research, 192(1), 1-17.
81. Cook, W. D., Seiford, L. M., & Zhu, J. (2013). Data envelopment analysis: The research frontier. Omega, 41(1), 1-2.
82. Cook, W. D., Tone, K., & Zhu, J. (2014). Data envelopment analysis: Prior to choosing a model. Omega, 44, 1-4.
83. Cook, W. D., & Zhu, J. (2013). Data envelopment analysis: Balanced benchmarking. Cook and Zhu Publishers.
84. Cook, W. D., & Zhu, J. (Eds.). (2014). Data envelopment analysis: A handbook of modeling internal structure and network (Vol. 208). Springer.
85. Cook, W. D., Zhu, J., Bi, G., & Yang, F. (2010). Network DEA: Additive efficiency decomposition. European Journal of Operational Research, 207(2), 1122-1129.
86. Cooper, W. W., Seiford, L. M., Thanassoulis, E., & Zanakis, S. H. (2004). DEA and its uses in different countries. European Journal of Operational Research, 154(2), 337-344.
87. Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software. Springer Science & Business Media.
88. Cooper, W. W., Seiford, L. M., & Zhu, J. (2000). A unified additive model approach for evaluating inefficiency and congestion with associated measures in DEA. Socio-Economic Planning Sciences, 34(1), 1-25.
89. Cooper, W. W., Seiford, L. M., & Zhu, J. (2011). Handbook on data envelopment analysis (Vol. 164). Springer Science & Business Media.
90. Cooper, W. W., Seiford, L. M., & Zhu, J. (2004). Handbook on data envelopment analysis. International series in operations research & management science.
91. Cordero, J. M., Pedraja, F., & Santín, D. (2009). Alternative approaches to include exogenous variables in DEA measures: A comparison using Monte Carlo. Computers & Operations Research, 36(10), 2699-2706.
92. Daianu, D., & Lungu, L. (2008). Why is this financial crisis occurring? How to respond to it. Romanian Journal of Economic Forecasting, 4, 59-87.
93. Deardorff, A. V. (1992). Welfare effects of global patent protection. Economica, 35-51.
94. Debreu, G. (1951). The coefficient of resource utilization. Econometrica: Journal of the Econometric Society, 273-292.
95. Dervaux, B., Kerstens, K., & Eeckaut, P. V. (1998). Radial and nonradial static efficiency decompositions: a focus on congestion measurement. Transportation Research Part B: Methodological, 32(5), 299-312.
96. Drake, L., Hall, M. J., & Simper, R. (2006). The impact of macroeconomic and regulatory factors on bank efficiency: A non-parametric analysis of Hong Kong’s banking system. Journal of Banking & Finance, 30(5), 1443-1466.
97. Ebrahimnejad, A., Tavana, M., Lotfi, F. H., Shahverdi, R., & Yousefpour, M. (2014). A three-stage Data Envelopment Analysis model with application to banking industry. Measurement, 49, 308-319.
98. Eken, M. H., & Kale, S. (2011). Measuring bank branch performance using Data Envelopment Analysis (DEA): The case of Turkish bank branches. African Journal of Business Management, 5(3), 889-901.
99. Erkoc, T. E. (2012). Estimation methodology of economic efficiency: stochastic frontier analysis vs data envelopment analysis. International Journal of Academic Research in Economics and Management Sciences, 1(1), 1-23.
100. Emrouznejad, A., & Amin, G. R. (2009). DEA models for ratio data: Convexity consideration. Applied Mathematical Modelling, 33(1), 486-498.
101. Emrouznejad, A., & Cabanda, E. (2010). An aggregate measure of financial ratios using a multiplicative DEA model. International Journal of Financial Services Management, 4(2), 114-126.
102. Emrouznejad, A., Parker, B. R., & Tavares, G. (2008). Evaluation of research in efficiency and productivity: A survey and analysis of the first 30 years of scholarly literature in DEA. Socio-economic planning sciences, 42(3), 151-157.
103. Erdem, C., & Erdem, M. S. (2008). Turkish banking efficiency and its relation to stock performance. Applied Economics Letters, 15(3), 207-211.
104. Estelle, S. M., Johnson, A. L., & Ruggiero, J. (2010). Three-stage DEA models for incorporating exogenous inputs. Computers & Operations Research, 37(6), 1087-1090.
105. Färe, R., & Grosskopf, S. (1996). Productivity and intermediate products: a frontier approach. Economics Letters, 50(1), 65-70.
106. Fare, R.S., Grosskopf, S. (2000). Network DEA. Socio-Economic Journal 5 (1-2), 9–22.
107. Färe, R., Grosskopf, S., & Whittaker, G. (2007). Network dea. In Modeling data irregularities and structural complexities in data envelopment analysis (pp. 209-240). Springer US.
108. Färe, R., Grosskopf, S., Norris, M., & Zhang, Z. (1994). Productivity growth, technical progress, and efficiency change in industrialized countries. American Economic Review, 84(1), 66-83.
109. Färe, R., Grosskopf, S., & Lovell, C. K. (1985). The measurement of efficiency of production (Vol. 6). Springer Science & Business Media.
110. Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society. Series A (General), 253-290.
111. Fasnacht, D. (2009). Open Innovation in the financial services: growing through openness, flexibility and customer integration. Springer Science & Business Media.
112. Ferrier, G. D., & Trivitt, J. S. (2013). Incorporating quality into the measurement of hospital efficiency: a double DEA approach. Journal of Productivity Analysis, 40(3), 337-355.
113. 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(2), 189-198.
114. Fiordelisi, F., & Molyneux, P. (2010). Total factor productivity and shareholder returns in banking. Omega, 38(5), 241-253.
115. Førsund, F. R., Lovell, C. K., & Schmidt, P. (1980). A survey of frontier production functions and of their relationship to efficiency measurement. Journal of econometrics, 13(1), 5-25.
116. Fried, H. O. and Lovell, C. A. K., (1996) Accounting for environmental effects in data envelopment analysis, Trabajo presentdado en Workshop on Efficiency and Productivity, Athens, G. Estados Unidos, 1±3 de Noviembre de 1996.
117. Fried, H. O., Lovell, C. K., Schmidt, S. S., & Yaisawarng, S. (2002). Accounting for environmental effects and statistical noise in data envelopment analysis. Journal of productivity Analysis, 17(1-2), 157-174.
118. Fried, H. O., Lovell, C. K., & Eeckaut, P. V. (1993). Evaluating the performance of US credit unions. Journal of Banking & Finance, 17(2), 251-265.
119. Fried, H. O., Schmidt, S. S., & Yaisawarng, S. (1999). Incorporating the operating environment into a nonparametric measure of technical efficiency. Journal of productivity Analysis, 12(3), 249-267.
120. Garrison, R. H., Noreen, E. W., & Brewer, P. C. (2003). Managerial accounting. New York: McGraw-Hill/Irwin.
121. Ghorbani, A., Amirteimoo, A., & Dehghanzad, H. (2010). A comparison of DEA, DFA and SFA methods using data from Caspian cattle feedlot farms. Journal of Applied Sciences, 10, 1455-1460.
122. Girardone, C., Molyneux, P., & Gardener, E. P. (2004). Analysing the determinants of bank efficiency: the case of Italian banks. Applied Economics, 36(3), 215-227.
123. Greene, W. H. (1997). Frontier production functions. Handbook of applied econometrics, 2, 81-166.
124. Gup, B. E. (2011). Banking and financial institutions: A guide for directors, investors, and borrowers (Vol. 615). John Wiley & Sons.
125. Halkos, G. E., Tzeremes, N. G., & Kourtzidis, S. A. (2014). A unified classification of two-stage DEA models. Surveys in operations research and management science, 19(1), 1-16.
126. Hamilton, R., Qasrawi, W., & Al-Jarrah, M. (2010). Cost and profit efficiency in the Jordanian banking sector 1993-2006: A parametric approach. International Research Journal of Finance and Economics, 56, 111-123.
127. Hanif Akhtar, M. (2013). After the financial crisis: a cost efficiency analysis of banks from Saudi Arabia. International Journal of Islamic and Middle Eastern Finance and Management, 6(4), 322-332.
128. Hassan, M. K., Al-Sharkas, A., & Samad, A. (2004). An empirical study of relative efficiency of the Banking Industry in Bahrain. Studies in economics and finance, 22(2), 40-69.
129. Heidari, M. D., Omid, M., & Mohammadi, A. (2012). Measuring productive efficiency of horticultural greenhouses in Iran: a data envelopment analysis approach. Expert Systems with Applications, 39(1), 1040-1045.
130. Hmedat, W. (2011). The Relative Efficiency of Jordanian Banks and its Determinants Using Data Envelopment Analysis. Journal of Applied Finance & Banking, 1(3), 33-58.
131. Hoff, A. (2007). Second stage DEA: Comparison of approaches for modelling the DEA score. European Journal of Operational Research, 181(1), 425-435.
132. Holvad, T. (2001). An Analysis of Efficiency Patterns for A Sample of Norwegian Bus Companies (p. 282). mimeo.
133. Hughes, J. P., Mester, L. J., & Moon, C. G. (2001). Are scale economies in banking elusive or illusive?: Evidence obtained by incorporating capital structure and risk-taking into models of bank production. Journal of Banking & Finance, 25(12), 2169-2208.
134. Hynninen, Y., Ollikainen, P., Putkonen, J., Tenhola, A., & Vähä-Vahe, J. (2011). Analyzing the efficiency of Finnish health care units. In Aalto University, Mat-2.4177 Seminar on case studies in operations research.
135. Isik, I., & Darrat, A. F. (2009). The effect of macroeconomic environment on productive performance in Turkish banking. In Economic Research Forum Working Papers (No. 487).
136. Jacobs, R., Smith, P. C., & Street, A. (2006). Measuring efficiency in health care: analytic techniques and health policy. Cambridge University Press.
137. Jemric, I., & Vujcic, B. (2002). Efficiency of banks in Croatia: A DEA approach. Comparative Economic Studies, 44(2-3), 169-193.
138. Johnson, A. L., & Kuosmanen, T. (2012). One-stage and two-stage DEA estimation of the effects of contextual variables. European Journal of Operational Research, 220(2), 559-570.
139. Jordanian Financial Stability Report, 2013.
140. Jreisat, A., & Paul, S. (2010). Banking efficiency in the Middle East: a survey and new results for the jordanian banks. International Journal of Applied Business and Economic Research, 8(2), 191-209.
141. Kao, C. (2013). Dynamic data envelopment analysis: A relational analysis. European Journal of Operational Research, 227(2), 325-330.
142. Karasneh, I., Cadle, P. J., & Ford, J. L. (1997). Market Structure, Concentration and Performance: Jordanian Banking System, 1980-1993 (No. 97-12).
143. Kawaguchi, H., Tone, K., & Tsutsui, M. (2014). Estimation of the efficiency of Japanese hospitals using a dynamic and network data envelopment analysis model. Health care management science, 17(2), 101-112.
144. Khamis, M. (2003). Financial Sector Reforms and Issues in Jordan: Central Bank of Jordan. Paper presented at the Euro-Med Regional Economic Dialogue, Rome.
145. Khoo-Fazari, K., Yang, Z., & Paradi, J. C. (2013). A Distribution-Free Approach to Stochastic Efficiency Measurement with Inclusion of Expert Knowledge. Journal of Applied Mathematics, 2013.
146. Koch, T., & MacDonald, S. (2014). Bank management. Cengage Learning.
147. Koopmans, T. C. (1951). Analysis of production as an efficient combination of activities. Activity analysis of production and allocation, 13, 33-37.
148. Krantz, M. (2009). Fundamental analysis for dummies. John Wiley & Sons.
149. Kumar, S., & Gulati, R. (2008). An examination of technical, pure technical, and scale efficiencies in Indian public sector banks using data envelopment analysis. Eurasian Journal of Business and Economics, 1(2), 33-69.
150. Kumbhakar, S. C., & Lovell, C. K. (2003). Stochastic frontier analysis. Cambridge University Press.
151. Kuah, C. T., Wong, K. Y., & Behrouzi, F. (2010). A review on data envelopment analysis (DEA). In Mathematical/Analytical Modelling and Computer Simulation (AMS), 2010 Fourth Asia International Conference on (pp. 168-173). IEEE.
152. Kyereboah-Coleman, A. (2007). The impact of capital structure on the performance of microfinance institutions. The Journal of Risk Finance, 8(1), 56-71.
153. Laeven, L., & Valencia, F. (2008). Systemic banking crises: a new database. IMF Working Papers, 1-78.
154. Lee, J. Y. (2008). Application of the three-stage DEA in measuring efficiency–an empirical evidence. Applied Economics Letters, 15(1), 49-52.
155. Leibenstein, H. (1966). Allocative efficiency v. "xefficiency".American Economic Review, 56(3), 392-415.
156. Leleu, H. (2006). A linear programming framework for free disposal hull technologies and cost functions: Primal and dual models. European Journal of Operational Research, 168(2), 340-344.
157. Li, Y., Chen, Y., Liang, L., & Xie, J. (2012). DEA models for extended two-stage network structures. Omega, 40(5), 611-618.
158. Li, S., Jahanshahloo, G. R., & Khodabakhshi, M. (2007). A super-efficiency model for ranking efficient units in data envelopment analysis. Applied Mathematics and computation, 184(2), 638-648.
159. Liang, L., Wu, J., Cook, W. D., & Zhu, J. (2008). Alternative secondary goals in DEA cross-efficiency evaluation. International Journal of Production Economics, 113(2), 1025-1030.
160. Liu, H. H., Chen, T. Y., Chiu, Y. H., & Kuo, F. H. (2013). A comparison of three-stage DEA and artificial neural network on the operational efficiency of semi-conductor firms in Taiwan.
161. Lin, T. T., Lee, C. C., & Chiu, T. F. (2009). Application of DEA in analyzing a bank’s operating performance. Expert Systems with Applications, 36(5), 8883-8891.
162. Liu, J. S., Lu, L. Y., Lu, W. M., & Lin, B. J. (2013). A survey of DEA applications. Omega, 41(5), 893-902.
163. Liu, J. S., Lu, L. Y., Lu, W. M., & Lin, B. J. (2013). Data envelopment analysis 1978–2010: A citation-based literature survey. Omega, 41(1), 3-15.
164. Liu, J., & Tone, K. (2008). A multistage method to measure efficiency and its application to Japanese banking industry. Socio-Economic Planning Sciences, 42(2), 75-91.
165. Lovell, C. K. (1993). Production frontiers and productive efficiency. The measurement of productive efficiency: techniques and applications, 3-67.
166. Luo, Y., Bi, G., & Liang, L. (2012). Input/output indicator selection for DEA efficiency evaluation: An empirical study of Chinese commercial banks. Expert Systems with Applications, 39(1), 1118-1123.
167. Lundvall, B. Å. (Ed.). (2010). National systems of innovation: Toward a theory of innovation and interactive learning (Vol. 2). Anthem Press.
168. Maghyereh, A., & Omet, G. (2002). Financial liberalization and stock market efficiency: empirical evidence from an emerging market. African Finance Journal, 4(2), p-24.
169. Mantri, J. K. (Ed.). (2008). Research Methodology on Data Envelopment Analysis (DEA). Universal-Publishers.
170. Martić, M., Novaković, M., & Baggia, A. (2009). Data envelopment analysis-basic models and their Utilization. Organizacija, 42(2), 37-43.
171. Marschall, P., & Flessa, S. (2011). Efficiency of primary care in rural Burkina Faso. A two-stage DEA analysis. Health economics review, 1(1), 1-15.
172. McDonald, J. (2009). Using least squares and tobit in second stage DEA efficiency analyses. European Journal of Operational Research, 197(2), 792-798.
173. Meeusen, W., & Van den Broeck, J. (1977). Efficiency estimation from Cobb-Douglas production functions with composed error. International economic review, 435-444.
174. Mester, L. J. (1997). Measuring efficiency at US banks: Accounting for heterogeneity is important. European Journal of Operational Research, 98(2), 230-242.
175. Miani, S., & Daradkah, D. (2008). The banking industry in Jordan. Transition Studies Review, 15(1), 171-191.
176. Mohamed Shahwan, T., & Mohammed Hassan, Y. (2013). Efficiency analysis of UAE banks using data envelopment analysis. Journal of Economic and Administrative Sciences, 29(1), 4-20.
177. Mobtaker, H. G., Akram, A., Keyhani, A., & Mohammadi, A. (2012). Optimization of energy required for alfalfa production using data envelopment analysis approach. Energy for sustainable development, 16(2), 242-248.
178. Mohamed Shahwan, T., & Mohammed Hassan, Y. (2013). Efficiency analysis of UAE banks using data envelopment analysis. Journal of Economic and Administrative Sciences, 29(1), 4-20.
179. Mokhtar, H. S. A., Abdullah, N., & Al-Habshi, S. M. (2006). Efficiency of Islamic banking in Malaysia: A stochastic frontier approach. Journal of Economic Cooperation, 27(2), 37-70.
180. Mokhtar, H. S. A., AlHabshi, S. M., & Abdullah, N. (2006). A conceptual framework for and survey of banking efficiency study. Unitar e-Journal, 2(2), 1-19.
181. Mostafa, M. (2007). Modeling the efficiency of GCC banks: a data envelopment analysis approach. International Journal of Productivity and Performance Management, 56(7), 623-643.
182. Mostafa, M. (2007). Benchmarking top Arab banks' efficiency through efficient frontier analysis. Industrial Management & Data Systems, 107(6), 802-823.
183. Mostafa, M. M. (2009). Modeling the efficiency of top Arab banks: A DEA–neural network approach. Expert Systems with Applications, 36(1), 309-320.
184. Munisamy, S., & Singh, G. (2011). Benchmarking the efficiency of Asian container ports. African journal of business management, 5(4), 1397-1407.
185. Nazarko, J. (2010). DEA method in efficiency assessment of public higher education institutions. Lebanon, 177-182.
186. Odeck, J., & Alkadi, A. (2001). Evaluating efficiency in the Norwegian bus industry using data envelopment analysis. Transportation, 28(3), 211-232.
187. Paradi, J. C., & Zhu, H. (2013). A survey on bank branch efficiency and performance research with data envelopment analysis. Omega, 41(1), 61-79.
188. Parkan, C., & Wu, M. L. (1999). Decision-making and performance measurement models with applications to robot selection. Computers & Industrial Engineering, 36(3), 503-523.
189. Pastor, J. M. (1999). Efficiency and risk management in Spanish banking: a method to decompose risk. Applied financial economics, 9(4), 371-384.
190. Pastor, J. M. (2002). Credit risk and efficiency in the European banking system: A three-stage analysis. Applied Financial Economics, 12(12), 895-911.
191. Pastor, J., Perez, F., & Quesada, J. (1997). Efficiency analysis in banking firms: An international comparison. European Journal of Operational Research, 98(2), 395-407.
192. Paul, S., & Jreisat, A. (2012). An Analysis of Cost Efficiency in the Jordanian Banking Sector. International Review of Business Research Papers, 8(4), 43-62.
193. Phillips, F. Y., & Rousseau, J. J. (Eds.). (2012). Systems and management science by extremal methods: research honoring Abraham Charnes at age 70. Springer Science & Business Media.
194. Pitt, M. M., & Lee, L. F. (1981). The measurement and sources of technical inefficiency in the Indonesian weaving industry. Journal of development economics, 9(1), 43-64.
195. Porcelli, F. (2009). Measurement of Technical Efficiency. A brief survey on parametric and non-parametric techniques. Retrieved February, 2, 2014.
196. Rahmandad, H. (2012). Impact of growth opportunities and competition on firm-level capability development trade-offs. Organization science, 23(1), 138-154.
197. Rangan, N., Grabowski, R., Aly, H. Y., & Pasurka, C. (1988). The technical efficiency of US banks. Economics letters, 28(2), 169-175.
198. Raveh, A. (2000). Co-plot: A graphic display method for geometrical representations of MCDM. European Journal of Operational Research, 125(3), 670-678.
199. Ray, S. C. (1988). Data envelopment analysis, nondiscretionary inputs and efficiency: an alternative interpretation. Socio-Economic Planning Sciences, 22(4), 167-176.
200. Raza, S. A. (2014). A distribution free approach to newsvendor problem with pricing. 4OR, 12(4), 335-358.
201. Řepková, I. (2014). Efficiency of the Czech Banking Sector Employing the DEA Window Analysis Approach. Procedia Economics and Finance, 12, 587-596.
202. Rose, P., & Hudgins, S. (2006). Bank management and financial services. The McGraw− Hill.
203. Ross, A., & Droge, C. (2002). An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of Operations Management, 20(1), 19-32.
204. Rochet, J. C. (2008). Why are there so many banking crises. The Politics and Policy of Bank Regulation, 33.ygfr65dz+8
205. Russell, R. R. (1985). Measures of technical efficiency. Journal of Economic Theory, 35(1), 109-126.
206. Saleh, A. S. and R. Zeitun (2006), "Islamic Banking Performance in the Middle East: A Case of Jordan", University of Wollongnon,WP 06-21.
207. Salhieh, L. and Abu-Doleh, J. (2004), “A decision making framework for Jordanian banking sector: a DEA approach”, Abhath Al-Yarmouk (Human and Social Sciences), Vol. 20 No. 4A, pp. 281-95.
208. Samoilenko, S., & Osei-Bryson, K. M. (2010). Determining sources of relative inefficiency in heterogeneous samples: Methodology using Cluster Analysis, DEA and Neural Networks. European Journal of Operational Research, 206(2), 479-487.
209. Sathye, M. (2003). Efficiency of banks in a developing economy: the case of India. European Journal of Operational Research, 148(3), 662-671
210. Sathye, M. (2005). Privatization, performance, and efficiency: A study of Indian banks. Vikalpa, 30(1), 7-16.
211. Sav, G. T. (2013). Four-stage DEA efficiency evaluations: Financial reforms in public university funding. International Journal of Economics and Finance, 5(1), 24.
212. Sealey, C. W., & Lindley, J. T. (1977). Inputs, outputs, and a theory of production and cost at depository financial institutions. The Journal of Finance, 32(4), 1251-1266.
213. Seiford, L. M., & Zhu, J. (1999). Profitability and marketability of the top 55 US commercial banks. management science, 45(9), 1270-1288.
214. Serrano-Cinca, C., MarMoliero, C., & Chaparro, F. (2004). Spanish savings banks: a view on intangibles. Knowledge Management Research & Practice, 2(2), 103-117.
215. Sharma, A. K., Sharma, D., & Barua, M. K. (2012). Efficiency and productivity of indian banks: an application of data envelopment analysis and tobit regression. In National Conference on Emerging Challenges for Sustainable Business (pp. 81-90).
216. Sherman, H. D., & Gold, F. (1985). Bank branch operating efficiency: Evaluation with data envelopment analysis. Journal of Banking & Finance, 9(2), 297-315.
217. Sherman, H. D., & Zhu, J. (2006). Service productivity management: improving service performance using Data Envelopment Analysis (DEA). Springer Science & Business Media.
218. Shulan, M., Gao, K., & Moore, C. D. (2013). Predicting 30-day all-cause hospital readmissions. Health care management science, 16(2), 167-175.
219. Shyu, J., & Chiang, T. (2012). Measuring the true managerial efficiency of bank branches in Taiwan: A three-stage DEA analysis. Expert Systems with Applications, 39(13), 11494-11502.
220. Simar, L., & Wilson, P. W. (2011). Inference by the m out of n bootstrap in nonparametric frontier models. Journal of Productivity Analysis, 36(1), 33-53.
221. Simar, L., & Wilson, P. W. (2007). Estimation and inference in two-stage, semi-parametric models of production processes. Journal of econometrics, 136(1), 31-64.
222. Sousa, M. D. C. S., & Schwengber, S. B. (2005). Efficiency estimates for judicial services in Brazil: Nonparametric FDH and the expected Ordem-M efficiency scores for Rio Grande do Sul Courts. Encontro da ANPEC 2005.
223. Spong, K., Sullivan, R. J., & DeYoung, R. (1995). What makes a bank efficient? A look at financial characteristics and bank management and ownership structure. Federal Reserve Bank of Kansas City, Financial Industry Perspectives, December, 1-19.
224. Sun, L., & Chang, T. P. (2011). A comprehensive analysis of the effects of risk measures on bank efficiency: Evidence from emerging Asian countries. Journal of Banking & Finance, 35(7), 1727-1735.
225. Sundaram, A. K., & Inkpen, A. C. (2004). Stakeholder theory and “The corporate objective revisited”: A reply. Organization Science, 15(3), 370-371.
226. Tahir, I. M., & Bakar, N. M. A. (2009). Evaluating efficiency of Malaysian banks using data envelopment analysis. International Journal of Business and Management, 4(8), p96.
227. Tangen, S. (2003). An overview of frequently used performance measures. Work study, 52(7), 347-354.
228. Trad, I. & Abbad, M. (2000), Financial and banking legislation in Jordan; explain from a financial perspective. Wael for printing and publishing.
229. Thrall, R. M. (1996). Duality, classification and slacks in DEA. Annals of Operations Research, 66(2), 109-138
230. Thoraneenitiyan, N., & Avkiran, N. K. (2009). Measuring the impact of restructuring and country-specific factors on the efficiency of post-crisis East Asian banking systems: Integrating DEA with SFA. Socio-Economic Planning Sciences, 43(4), 240-252.
231. Tone, K. (1996). A simple characterization of reterns to scale in dea. JOURNAL-OPERATIONS RESEARCH SOCIETY OF JAPAN, 39, 604-613.
232. Tone, K. (2001). A slacks-based measure of efficiency in data envelopment analysis. European journal of operational research, 130(3), 498-509.
233. Tone, K., & Tsutsui, M. (2009). Network DEA: A slacks-based measure approach. European Journal of Operational Research, 197(1), 243-252.
234. Tone, K., & Tsutsui, M. (2010). Dynamic DEA: A slacks-based measure approach. Omega, 38(3), 145-156.
235. Tone, K., & Tsutsui, M. (2014). Dynamic DEA with network structure: A slacks-based measure approach. Omega, 42(1), 124-131.
236. Towey, R. E. (1974). Money creation and the theory of the banking firm. The Journal of Finance, 29(1), 57-72.
237. Tulkens, H. (2006). On FDH efficiency analysis: some methodological issues and applications to retail banking, courts and urban transit. In Public goods, environmental externalities and fiscal competition (pp. 311-342). Springer US.
238. Van De Wal, M., & De Jager, B. (2001). A review of methods for input/output selection. Automatica, 37(4), 487-510.
239. Van Greuning, H., & Bratanovic, S. B. (2009). Analyzing banking risk: a framework for assessing corporate governance and risk management. World Bank Publications.
240. Vickers, A. J. (2005). Parametric versus non-parametric statistics in the analysis of randomized trials with non-normally distributed data. BMC medical research methodology, 5(1), 35.
241. Uzmay, A., Koyubenbe, N., & Armagan, G. (2009). Measurement of efficiency using data envelopment analysis (DEA) and social factors affecting the technical efficiency in dairy cattle farms within the province of Izmir, Turkey. Journal of Animal and Veterinary Advances, 8(6), 1110-1115.
242. Wang, K., Huang, W., Wu, J., & Liu, Y. N. (2014). Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega, 44, 5-20.
243. Wagenvoort, R. J., & Schure, P. H. (2006). A Recursive Thick Frontier Approach to Estimating Production Efficiency*. Oxford Bulletin of Economics and Statistics, 68(2), 183-201.
244. Wanke, P. F. (2013). Physical infrastructure and flight consolidation efficiency drivers in Brazilian airports: A two-stage network-DEA approach. Journal of Air Transport Management, 31, 1-5.
245. Wanke, P., & Barros, C. (2014). Two-stage DEA: An application to major Brazilian banks. Expert systems with applications, 41(5), 2337-2344.
246. Weill, L. (2004). Measuring cost efficiency in European banking: A comparison of frontier techniques. Journal of Productivity Analysis, 21(2), 133-152.
247. Wernz, J. (2013). Bank Management and Control: Strategy, Capital and Risk Management. Springer Science & Business Media.
248. Westermann, G. (Ed.). (2013). Data Envelopment Analysis in the Service Sector. Springer-Verlag.
249. Xu, X. W., & Shi, P. J. (2006). Efficiency comparative study on commercial bank in China based on DEA and SFA. Application of statistics and management, 1, 012.
250. Yamamoto, S.(2014). Human Interface and the Management of Information. Information and Knowledge in Applications and Services: 16th International Conference, HCI International 2014, Heraklion, Crete, Greece, June 22-27, 2014.
251. Yeh, Q. J. (1996). The application of data envelopment analysis in conjunction with financial ratios for bank performance evaluation. Journal of the Operational Research Society, 980-988.
252. Yildirim, H. S. & Philippatos, G. 2007. Efficiency !n banks: Recent evidence from the transition economies of Europe, 1993-2000. The European Journal of Finance. Vol.13, No. 2,123-143, February 2007.
253. Yılmaz, A. A. (2013). Bank efficiency analysis in Turkish banking system. In WEU International Academic Conference Proceedings (pp. 112-121).
254. Yu, M. M., Ting, S. C., & Chen, M. C. (2010). Evaluating the cross-efficiency of information sharing in supply chains. Expert Systems with Applications, 37(4), 2891-2897.
255. Zhang, T., & Garvey, E. (2008). A comparative analysis of multi-output frontier models. Journal of Zhejiang University SCIENCE A, 9(10), 1426-1436.
256. Zhao, J., & J. Barry, P. (2014). Effects of credit constraints on rural household technical efficiency: Evidence from a city in northern China. China Agricultural Economic Review, 6(4), 654-668.
257. Zhou, Y., Xing, X., Fang, K., Liang, D., & Xu, C. (2013). Environmental efficiency analysis of power industry in China based on an entropy SBM model. Energy Policy, 57, 68-75.
258. Zhu, J. (2014). Quantitative models for performance evaluation and benchmarking: data envelopment analysis with spreadsheets (Vol. 213). Springer.
259. Zhu, J. (2011). Air lines performance via two-stage network DEA approach. Journal of CENTRUM Cathedra: The Business and Economics Research Journal, 4(2), 260-269.