How to cite this paper
Nguyen, T., Thenet, G & Nguyen, K. (2015). Applying DEA sensitivity analysis to efficiency measurement of Vietnamese universities.Management Science Letters , 5(11), 983-992.
Refrences
Abbott, M., & Doucouliagos, C. (2003). The efficiency of Australian universities: a data envelopment analysis. Economics of Education review,22(1), 89-97.
Agasisti T., Lezzi M. (2013). The efficiency of Italian public universities in the medium-run (2001-2011): A Data Envelopment Analysis. Paper presented at the Annual Meeting of the Italian Association of Management Engineering (AiIG), Milan (Italy), October 2013.
Ahn, T., Charnes, A. C., & Cooper, W. W. (1988). Some statistical and DEA evaluations of relative efficiencies of public and private institutions of higher learning. Socio-Economic Planning Sciences, 22(6), 259-269.
Ahn, T., & Seiford, L. M. (1993). Sensitivity of DEA to models and variable sets in a hypothesis test setting: The efficiency of university operations, in: Ijiri, Y. (Ed.), Creative and Innovative Approaches to the Science of Management, Quorum Books, pp. 191-208.
Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian universities through Data Envelopment Analysis. Socio-Economic Planning Sciences, 35, 57–80.
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.
Beasley, J. E. (1990). Comparing university departments. Omega, 18(2), 171-183.
Bobe, B. (2009, January). Evaluating the efficiencies of university faculties: adjusted data envelopment analysis. In AFAANZ 2009: Accounting and Finance Association of Australia and New Zealand Annual Conference (pp. 1-26). AFAANZ.
Boussofiane, A., Dyson, R. G., & Thanassoulis, E. (1991). Applied data envelopment analysis. European Journal of Operational Research, 52(1), 1-15.
Calhoun, J., Hall, J. (2013). Data Envelopment Analysis of Relative Efficiencies of Public and Private Institutions of Higher Learning. Economics Working Papers 2013, No. 13-06.
Castano, M. C. N., & Cabanda, E. C. (2007). Performance evaluation of the efficiency of Philippine Private Higher Educational Institutions: application of frontier approaches. International Transactions in operational research, 14(5), 431-444.
Castano, M. C. N., & Cabanda, E. C. (2007b). Sources of Efficiency and Productivity Growth in the Philippine State Universities and Colleges: A Non-Parametric Approach. International Business & Economics Research Journal, 6(6), 79-90.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Chen, Y., & Ali, A. I. (2002). Output–input ratio analysis and DEA frontier.European Journal of Operational Research, 142(3), 476-479.
Coelli, T. J. (1996). A Guide to DEAP version 2.1: A data envelopment analysis (Computer) Program. Centre for Efficiency and Productivity Analysis (CEPA), CEPA Working Paper No. 8/96.
Cooper, W. W., Seiford, L. M., & Tone, K. (Eds.). (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Springer, 2nd edition.
Cooper, W. W., Li, S., Seiford, L. M., & Zhu, J. (2011). Sensitivity Analysis in DEA, in: Cooper, W. W., Seiford, L. M., & Zhu, J. (Eds.). (2011). Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, 164, Springer, 2nd edition, chapter 3.
Cuenca, J. S. (2011). Efficiency of State Universities and Colleges in the Philippines: A Data Envelopment Analysis. Philippine Institute for Development Studies, Discussion paper series No. 2011-14.
De La Villarmois, O. (1999). Evaluer la performance des réseaux bancaires: La méthode DEA. Décisions Marketing, 16, 39-51.
Decision No. 795/Q?-BGD?T (2010). Ministry of Education and Training. Decision on determining the quota of enrolment.
Do, Q. H., & Chen, J. F. (2014). Integrating managerial preferences into the assessment by the fuzzy AHP/DEA approach: A case application in the assessment of university performance. DEPOCEN Working Paper Series No. 2014/03.
Flegg, A. T., Allen, D. O., Field, K., & Thurlow, T. W. (2004). Measuring the efficiency and productivity of British universities: an application of DEA and the Malmquist approach. Education Economics, 12(3), 231-249.
Guzman, M. C. G. N., Cabanda, E. (2009). Selected Private Higher Educational Institutions In Metro Manila: A DEA Efficiency Measurement. American Journal of Business Education, 2(6), 97-108.
Johnes, J. (2006). Data envelopment analysis and its application to the measurement of efficiency in higher education. Economics of Education Review, 25(3), 273-288.
Kao, C., & Hung, H. T. (2008). Efficiency analysis of university departments: An empirical study. Omega, 36(4), 653-664.
Katharaki, M., & Katharakis, G. (2010). A comparative assessment of Greek universities’ efficiency using quantitative analysis. International journal of educational research, 49(4), 115-128.
Kuah, C. T., Wong, K. Y. (2011). Efficiency assessment of universities through data envelopment Analysis. Procedia Computer Science, 3, 499-506.
Lee, B. L. (2011). Efficiency of Research Performance of Australian Universities: A Reappraisal using a Bootstrap Truncated Regression Approach. Economic Analysis & Policy, 41(3), 195-203.
Liu, J. S., Lu, L. Y., Lu, W. M., & Lin, B. J. (2013). A survey of DEA applications. Omega, 41(5), 893-902.
Madden, G., Savage, S. (1997). Measuring public sector efficiency: A study of economics departments at Australian universities. Education Economics, 5(2), 153-168.
McMillan, M. L., Datta, D. (1998). The relative efficiencies of Canadian universities: A DEA perspective. Canadian Public Policy-Analyse de Politiques, 24(4), 485-511.
Montoneri, B., Lin, T. T., Lee, C. C., & Huang, S. L. (2012). Application of data envelopment analysis on the indicators contributing to learning and teaching performance. Teaching and Teacher Education, 28(3), 382-395.
Nunamaker, T. R. (1985). Using Data Envelopment Analysis to measure the efficiency of non-profit organizations: A critical evaluation. Managerial and Decision Economics, 6(1), 50-58.
Pastor, J. T., Ruiz, J. L., & Sirvent, I. (2002). A statistical test for nested radial DEA models. Operations Research, 50(4), 728-748.
Rahimian, M., & Soltanifar, M. (2013). An application of DEA based Malmquist productivity index in university performance analysis. Management Science Letters, 3(1), 337-344.
Scheel, H. (2000). EMS – Efficiency Measurement System: User’s manual, version 1.3.
Sinuany-Stern, Z., Mehrez, A., & Barboy, A. (1994). Academic departments efficiency via DEA. Computers & Operations Research, 21(5), 543-556.
Warning, S. (2004). Performance differences in German higher education: Empirical analysis of strategic groups. Review of Industrial Organization, 24(4), 393-408.
Youn, J. W., & Park, K. (2009). University development models and efficiency analysis. Journal of Service Science, 1(1), 9-30.
Agasisti T., Lezzi M. (2013). The efficiency of Italian public universities in the medium-run (2001-2011): A Data Envelopment Analysis. Paper presented at the Annual Meeting of the Italian Association of Management Engineering (AiIG), Milan (Italy), October 2013.
Ahn, T., Charnes, A. C., & Cooper, W. W. (1988). Some statistical and DEA evaluations of relative efficiencies of public and private institutions of higher learning. Socio-Economic Planning Sciences, 22(6), 259-269.
Ahn, T., & Seiford, L. M. (1993). Sensitivity of DEA to models and variable sets in a hypothesis test setting: The efficiency of university operations, in: Ijiri, Y. (Ed.), Creative and Innovative Approaches to the Science of Management, Quorum Books, pp. 191-208.
Avkiran, N. K. (2001). Investigating technical and scale efficiencies of Australian universities through Data Envelopment Analysis. Socio-Economic Planning Sciences, 35, 57–80.
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.
Beasley, J. E. (1990). Comparing university departments. Omega, 18(2), 171-183.
Bobe, B. (2009, January). Evaluating the efficiencies of university faculties: adjusted data envelopment analysis. In AFAANZ 2009: Accounting and Finance Association of Australia and New Zealand Annual Conference (pp. 1-26). AFAANZ.
Boussofiane, A., Dyson, R. G., & Thanassoulis, E. (1991). Applied data envelopment analysis. European Journal of Operational Research, 52(1), 1-15.
Calhoun, J., Hall, J. (2013). Data Envelopment Analysis of Relative Efficiencies of Public and Private Institutions of Higher Learning. Economics Working Papers 2013, No. 13-06.
Castano, M. C. N., & Cabanda, E. C. (2007). Performance evaluation of the efficiency of Philippine Private Higher Educational Institutions: application of frontier approaches. International Transactions in operational research, 14(5), 431-444.
Castano, M. C. N., & Cabanda, E. C. (2007b). Sources of Efficiency and Productivity Growth in the Philippine State Universities and Colleges: A Non-Parametric Approach. International Business & Economics Research Journal, 6(6), 79-90.
Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European journal of operational research, 2(6), 429-444.
Chen, Y., & Ali, A. I. (2002). Output–input ratio analysis and DEA frontier.European Journal of Operational Research, 142(3), 476-479.
Coelli, T. J. (1996). A Guide to DEAP version 2.1: A data envelopment analysis (Computer) Program. Centre for Efficiency and Productivity Analysis (CEPA), CEPA Working Paper No. 8/96.
Cooper, W. W., Seiford, L. M., & Tone, K. (Eds.). (2007). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-Solver Software. Springer, 2nd edition.
Cooper, W. W., Li, S., Seiford, L. M., & Zhu, J. (2011). Sensitivity Analysis in DEA, in: Cooper, W. W., Seiford, L. M., & Zhu, J. (Eds.). (2011). Handbook on Data Envelopment Analysis. International Series in Operations Research & Management Science, 164, Springer, 2nd edition, chapter 3.
Cuenca, J. S. (2011). Efficiency of State Universities and Colleges in the Philippines: A Data Envelopment Analysis. Philippine Institute for Development Studies, Discussion paper series No. 2011-14.
De La Villarmois, O. (1999). Evaluer la performance des réseaux bancaires: La méthode DEA. Décisions Marketing, 16, 39-51.
Decision No. 795/Q?-BGD?T (2010). Ministry of Education and Training. Decision on determining the quota of enrolment.
Do, Q. H., & Chen, J. F. (2014). Integrating managerial preferences into the assessment by the fuzzy AHP/DEA approach: A case application in the assessment of university performance. DEPOCEN Working Paper Series No. 2014/03.
Flegg, A. T., Allen, D. O., Field, K., & Thurlow, T. W. (2004). Measuring the efficiency and productivity of British universities: an application of DEA and the Malmquist approach. Education Economics, 12(3), 231-249.
Guzman, M. C. G. N., Cabanda, E. (2009). Selected Private Higher Educational Institutions In Metro Manila: A DEA Efficiency Measurement. American Journal of Business Education, 2(6), 97-108.
Johnes, J. (2006). Data envelopment analysis and its application to the measurement of efficiency in higher education. Economics of Education Review, 25(3), 273-288.
Kao, C., & Hung, H. T. (2008). Efficiency analysis of university departments: An empirical study. Omega, 36(4), 653-664.
Katharaki, M., & Katharakis, G. (2010). A comparative assessment of Greek universities’ efficiency using quantitative analysis. International journal of educational research, 49(4), 115-128.
Kuah, C. T., Wong, K. Y. (2011). Efficiency assessment of universities through data envelopment Analysis. Procedia Computer Science, 3, 499-506.
Lee, B. L. (2011). Efficiency of Research Performance of Australian Universities: A Reappraisal using a Bootstrap Truncated Regression Approach. Economic Analysis & Policy, 41(3), 195-203.
Liu, J. S., Lu, L. Y., Lu, W. M., & Lin, B. J. (2013). A survey of DEA applications. Omega, 41(5), 893-902.
Madden, G., Savage, S. (1997). Measuring public sector efficiency: A study of economics departments at Australian universities. Education Economics, 5(2), 153-168.
McMillan, M. L., Datta, D. (1998). The relative efficiencies of Canadian universities: A DEA perspective. Canadian Public Policy-Analyse de Politiques, 24(4), 485-511.
Montoneri, B., Lin, T. T., Lee, C. C., & Huang, S. L. (2012). Application of data envelopment analysis on the indicators contributing to learning and teaching performance. Teaching and Teacher Education, 28(3), 382-395.
Nunamaker, T. R. (1985). Using Data Envelopment Analysis to measure the efficiency of non-profit organizations: A critical evaluation. Managerial and Decision Economics, 6(1), 50-58.
Pastor, J. T., Ruiz, J. L., & Sirvent, I. (2002). A statistical test for nested radial DEA models. Operations Research, 50(4), 728-748.
Rahimian, M., & Soltanifar, M. (2013). An application of DEA based Malmquist productivity index in university performance analysis. Management Science Letters, 3(1), 337-344.
Scheel, H. (2000). EMS – Efficiency Measurement System: User’s manual, version 1.3.
Sinuany-Stern, Z., Mehrez, A., & Barboy, A. (1994). Academic departments efficiency via DEA. Computers & Operations Research, 21(5), 543-556.
Warning, S. (2004). Performance differences in German higher education: Empirical analysis of strategic groups. Review of Industrial Organization, 24(4), 393-408.
Youn, J. W., & Park, K. (2009). University development models and efficiency analysis. Journal of Service Science, 1(1), 9-30.