Adler, N., & Volta, N. (2019). Ranking Methods Within Data Envelopment Analysis. In The Palgrave Handbook of Economic Performance Analysis (pp. 189-224). Palgrave Macmillan, Cham.
Afonso, A., & Santos, M. (2008). A DEA approach to the relative efficiency of Portuguese public universities. Portuguese Journal of Management Studies, 13(1), 67-87.
Agasisti, T., & Gralka, S. (2019). The transient and persistent efficiency of Italian and German universities: A stochastic frontier analysis. Applied Economics, 51(46), 5012-5030.
Alam Tabriz, A., Razieh, F., & Hesam, S. (2010). Evaluating the efficiency of Shahid Beheshti University faculties with an integrated approach of data envelopment analysis and ideal planning model, Industrial Management Studies, 8(19), 1-22.
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.
Charnes, A., & Cooper, W. W. (1957). Management models and industrial applications of linear programming. Management Science, 4(1), 38-91.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). A data envelopment analysis approach to evaluation of the program follow through experiment in US public school education (No. MSRR-432). Carnegie-Mellon Univ Pittsburgh Pa Management Sciences Research Group.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.
Cho, J., & Baek, W. (2019). Identifying factors affecting the quality of teaching in basic science education: Physics, biological sciences, mathematics, and chemistry. Sustainability, 11(14), 3958.
Cooper, W. W., Seiford, L. M., & Zhu, J. (2004). Data envelopment analysis. In Handbook on data envelopment analysis (pp. 1-39). Springer, Boston, MA.
Farrell, M. J. (1957). The measurement of productive efficiency. Journal of the Royal Statistical Society: Series A (General), 120(3), 253-281.
Hadi, R., Rezapour, Y., & Salmanpour, S. (2016). Indicators for measuring the quality of higher education based on the Kano model in Urmia University, Scientific-Research Journal of Education and Evaluation, 9(34), 35-50. [in Persian]
Helal, S., Li, J., Liu, L., Ebrahimie, E., Dawson, S., & Murray, D. J. (2019). Identifying key factors of student academic performance by subgroup discovery. International Journal of Data Science and Analytics, 7(3), 227-245.
Johnes, J., & Johnes, G. (1995). Research funding and performance in UK university departments of economics: A frontier analysis. Economics of Education Review, 14(3), 301-314.
Khadivi, A., Seyed Kalan, S. M., Hassanpour, T., Ahmadi, H., & Tarahbari, H. (2015). A study of factors affecting the quality of education and teaching in farhangian university (Case Study: Campuses of Ardabil Province). Education and Evaluation Quarterly, 11, 185-161. [in Persian]
Koronakos, G., Sotiros, D., Despotis, D. K., & Apostolou, D. (2017, June). Performance evaluation of academic research activity in a greek university: A DEA approach. In International Conference on Intelligent Decision Technologies (pp. 373-383). Springer, Cham.
Kuah, C. T., & Wong, K. Y. (2011). Efficiency assessment of universities through data envelopment analysis. Procedia Computer Science, 3, 499-506.
Latif, K. F., Latif, I., Farooq Sahibzada, U., & Ullah, M. (2019). In search of quality: Measuring higher education service quality (HiEduQual). Total Quality Management & Business Excellence, 30(7-8), 768-791.
Li, J., Li, J., & Zheng, F. (2014). Unified efficiency measurement of electric power supply companies in China. Sustainability, 6(2), 779-793.
Mehregan, M. R. (2008). Quantitative models in evaluating the performance of organizations. Faculty of University Management, Tehran, second edition. [in Persian]
Movahedi, R., Shirkhani, M., & Hassanpour Talebi, B. (2017). A study of factors affecting improving the quality of education from students perspectives (Case Study of the Faculty of Agriculture, Bu Ali Sina University). Journal of Higher Education, 38, 110-79. [in Persian]
Nazarko, J., & Šaparauskas, J. (2014). Application of DEA method in efficiency evaluation of public higher education institutions. Technological and Economic development of Economy, 20(1), 25-44.
Nusche, D., Earl, L., Maxwell, W., & Shewbridge, C. (2011). OECD reviews of evaluation and assessment in education. Oslo: OECD.
Reichmann, G., & Sommersguter-Reichmann, M. (2006). University library benchmarking: An international comparison using DEA. International journal of production economics, 100(1), 131-147.
Sagarra, M., Mar-Molinero, C., & Agasisti, T. (2017). Exploring the efficiency of Mexican universities: Integrating data envelopment analysis and multidimensional scaling. Omega, 67, 123-133.
Samati & Rezvani, M. A. (2001). A study of the efficiency of large public universities in Iran using the DEA method. Economic Research, 59, 147-117. [in Persian]
Sufian, F. (2011). Benchmarking the efficiency of the Korean banking sector: a DEA approach. Benchmarking: An International Journal.
Talluri, S. (2000). Data envelopment analysis: models and extensions. Decision Line, 31(3), 8-11.
Taqwa Nia, M., & Sohrabi, Z. (2015). The concept of quality in the education system: Qualitative study, Strides in Development of Medical Education, 12(3), 561-563. [in Persian]