References
- Beasley, J. E. (1990). Comparing university departments. Omega, 18, 171–183.10.1016/0305-0483(90)90064-G
- Beasley, J. E. (1995). Determining teaching and research efficiencies. Journal of Operational Research Society, 46(4), 441–452.10.1057/jors.1995.63
- Castelli, L., Pesenti, R., & Ukovich, W. (2001). DEA-like models for efficiency evaluations of specialized and interdependent units. European Journal of Operational Research, 132, 274–286.10.1016/S0377-2217(00)00151-X
- Charnes, A., & Cooper, W. W. (1962). Programming with linear fractional functional. Naval Research Logistics Quarterly, 15, 333–334.
- Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 428–444.
- Chen, Y., Cook, W. D., Li, N., & Zhu, J. (2009). Additive efficiency decomposition in two-stage DEA. European Journal of Operational Research, 196, 1170–1176.10.1016/j.ejor.2008.05.011
- Cook, W. D., Harrison, J., Imanirad, R., Rouse, P., & Zhu, J. (2013). Data envelopment analysis with non-homogeneous DMUs. Operations Research, 61, 666–676.10.1287/opre.2013.1173
- Cook, W. D., Harrison, J., Rouse, P., & Zhu, J. (2012). Relative efficiency measurement: The problem of a missing output in a subset of a decision making units. European Journal of Operational Research, 220(1), 79–84.10.1016/j.ejor.2012.01.022
- Cook, W. D., & Seiford, L. (2009). Data envelopment analysis (DEA)-Thirty years on. European Journal of Operational Research, 192(1), 1–17.10.1016/j.ejor.2008.01.032
- Cook, W. D., & Zhu, J. (2014). Data envelopment analysis: A handbook of modeling internal structures and networks. New York, NY: Springer.10.1007/978-1-4899-8068-7
- Du, J., Chen, Y., & Huo, J. (2015). DEA for non-homogeneous parallel networks. Omega, 56, 122–132.10.1016/j.omega.2014.10.001
- Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society, 120(3), 253–281.10.2307/2343100
- Imanirad, R., Cook, W. D., & Zhu, J. (2013). Partial input to output impacts in DEA: Production considerations and resource sharing among business subunits. Naval Research Logistics, 60, 190–207.10.1002/nav.v60.3
- Kao, C., & 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, 185, 418–429.10.1016/j.ejor.2006.11.041
- Kao, C., & Hwang, S. N. (2010). Efficiency measurement for network systems: IT impact on firm performance. Decision Support System, 48, 437–446.10.1016/j.dss.2009.06.002
- Lewis, H. F., & Sexton, T. R. (2004). Network DEA: Efficiency analysis of organizations with complex internal structure. Computer & Operations Research, 31, 1365–1410.10.1016/S0305-0548(03)00095-9
- Li, W., Liang, L., Cook, W. D., & Zhu, J. (2016). DEA models for non-homogeneous DMUs with different input configurations. European Journal of Operational Research, 254, 946–956.10.1016/j.ejor.2016.04.063
- Paradi, J. C., & Zhu, H. (2013). A survey of bank branch efficiency and performance research with data envelopment analysis. Omega, 41(1), 61–79.10.1016/j.omega.2011.08.010
- Seiford, L. M., & Zhu, J. (1999). Profitability and marketability of the top 55 US commercial banks. Management Science, 45, 1270–1288.10.1287/mnsc.45.9.1270
- Sexton, T. R., & Lewis, H. F. (2003). Two-stage DEA. An application to major league baseball. Journal of Productivity Analysis, 19, 227–249.10.1023/A:1022861618317
- Thompson, R. G., Dharmapala, P. S., & Thrall, R. M. (1993). Importance for DEA of zeros in data, multipliers, and solutions. Journal of Productivity Analysis, 4, 379–390.10.1007/BF01073546