Amir Teimoori, A. (2013). A DEA two-stage decision processes with shared resources. Central European Journal of Operations Research, Vol. 21, pp. 141-151.
Banker, R. D. (1984). Estimating most productive scale size using data envelopment analysis. European Journal of Operational Research, Vol. 17, pp. 35–44.
Banker, R. D. and Thrall, R. M. (1992). Estimation of returns to scale using data envelopment analysis. European Journal of Operational Research, Vol. 62, pp. 74–84.
Banker, R.D., Cooper, W.W., Seiford, L.M. and Zhu, J. (2004) Returns to Scale in DEA. Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, Vol. 71, pp. 41-73.
Barros, C.P. and Wanke, P. (2015). An analysis of African airlines efficiency with two-stage TOPSIS and neural networks. Journal of Air Transport Management, Vol. 44, pp. 90-102.
Chao, C-M, Yu, M-M, Lee, U-T and Hsiao
, B. (2016). Measurement of Banking Performance in a Dynamic Multi-activity Network Structure: Evidence from Banks in Taiwan. Journal of Emerging Markets Finance and Trade
, Vol. 53(4), pp. 786-805.
Chao, C-M, Yu, M-M and Wu, H-N. (2015). An application of the Dynamic Network DEA Model: The case of banks in Taiwan. Journal of Emerging Markets Finance and Trade, Vol. 51(1), pp. 133-151.
Charnes, A., Cooper, W.W. and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, Vol. 2, pp. 429–444.
Chen, M-J, Chiu, Y-H, Jan, Ch., Chen, Y-C and Liu, H-H. (2015). Efficiency and Risk in Commercial Banks – Hybrid DEA Estimation. Journal of Emerging Markets Finance and Trade, Vol. 44(3), pp. xx-xx.
Chen, Y., Cook, W. D., Li, N. and Zhu, J. (2009). Additive efficiency decomposition in two-stage DEA. European Journal of Operational Research, Vol. 196, pp. 1170-1176.
Chen, Y. and Zhu, J. (2004). Measuring information technology’s indirect impact on firm performance. Information Technology and Management, Vol. 5(12), pp. 9-22.
Färe, R. and Grosskopf, S. (2000). Network DEA. Socio-Economic Planning Sciences, Vol. 34, pp. 35-49.
Färe, R. and Primont, D. (1984). Efficiency measures for multi plant firms. Operations Research Letters, Vol. 3, pp. 257-260.
Fukuyama, H. and Matousek, R. (2016). Modeling Bank Performance: A Network DEA Approach. European Journal of Operational Research, Vol. 259 (2), pp. 721-732.
Fukuyama, H. and Mirdehghan, S. M. (2012). Identifying the efficiency status in network DEA. European Journal of Operational Research, Vol. 220(1), pp. 85-92.
Galagedera, D. U. A., Roshdi, I., Fukuyama, H. and Zhu, J. (2018). A new network DEA model for mutual fund performance appraisal: An application to U.S. equity mutual funds. Omega, Vol. 77, pp. 168-179
Hu, J-L and Yu, H-E. (2015). Risk, Capital, and Operating Efficiency: Evidence from Taiwan’s Life Insurance Market. Journal of Emerging Markets Finance and Trade, Vol. 51(1), pp. 121-132.
Kao, C. and Hwang, S. N. (2011). Decomposition of technical and scale efficiencies in two-stage production systems. European Journal of Operational Research, Vol. 211, pp. 515–519.
Kao, C. and Hwang, S-N. (2008). Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan. European journal of operational research, Vol. 185(1), pp. 418–429.
Koushki, F. (2017). Modeling Dynamic Production Systems with Network Structure. Iranian Journal of Mathematical Sciences and Informatics, Vol. 12(1), pp. 13-26.
Li, H., Chen, Ch., Cook, W.D., Zhang, J. and Zhu, J. (2018). Two-stage network DEA: Who is the leader? Omega, Vol. 24(C), pp. 15-19.
Lin, R., Chen, Z., Hu, Q. and Li, Z. (2017). Dynamic network DEA approach with diversification to multi-period performance evaluation of funds. OR Spectrum, Vol. 39(3), pp. 821-860.
Liu, S-T. (2014). Fuzzy efficiency ranking in fuzzy two-stage data envelopment analysis. Optimization Letters, Vol. 8(2), pp. 633-652.
Liu, WB, Zhoua, ZB, Maa, CQ, Liu DB and Shen, WF. (2015). Two-stage DEA models with undesirable input-intermediate-outputs. Omega, Vol. 56, pp. 74–87.
Lu, W-M, Kweh, Q. L. and Huang, C-L. (2014). Intellectual capital and national innovation systems performance. Knowledge-Based Systems, Vol. 71, pp. 201–210.
Paradi, J.C., Rouatt, S. and Zhu, H. (2011.) Two-stage evaluation of bank branch efficiency using data envelopment analysis. Omega, Vol. 39(1), pp. 99-109.
Sahoo, B. K., Zhu, J., Tone, K. and Klemen, B. M. (2014). Decomposing technical efficiency and scale elasticity in two-stage network DEA. European Journal of Operational Research, Vol. 233(3), pp. 584–594.
Seiford, LM and Zhu, J. (1999). Profitability and marketability of the top 55 US commercial banks. Management Science, Vol. 45(9), pp. 1270-88.
Shokri Kahi, V., Yousefi, S., Shabanpour, H. and Farzipoor Saen, R. (2017). How to evaluate sustainability of supply chains? A dynamic network DEA approach. Industrial Management & Data Systems, Vol. 117(9), pp. 1866-1889.
Tone, K. and Tsutsui, M. (2014). Dynamic DEA with network structure: a slacks-based measure approach. Omega, Vol. 42(1), pp. 124-131.
Wang, C.H., Gopal, R. and Zionts, S. (1997). Use of data envelopment analysis in assessing information technology impact on firm performance. Annals of Operations Research, Vol. 73, pp. 191-213.
Wang, K., Huang, W., Wu, J. and Liu, Y. N. (2014). Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA. Omega, Vol. 3, pp. 445-20.
Wankea, P, Maredzab, A. and Guptac, R. (2017). Merger and acquisitions in South African banking: A network DEA model. Research in International Business and Finance, Vol. 41, pp. 362–376.
Yang, F., Wu, D., Liang, L., Bi, G. and Wu, D.D. (2011). Supply chain DEA: production possibility set and performance evaluation model. Annals of Operations Research, Vol. 185, pp. 195-211.
Zhou, Z., Lin, L., Xiao, H., Ma, Ch. and Wu, Sh. (2017). Stochastic network DEA models for two-stage systems under the centralized control organization mechanism. Computers & Industrial Engineering, Vol. 110, pp. 404-412.