A DEA-TOPSIS-based approach for performance evaluation of Indian technical institutes

Abstract: Since independence, India has been one of the few developing countries to invest extensively in both science and technical education. In India, technical education plays a pivotal role in human resource development while creating skilled manpower, increasing industrial productivity and enhancing the quality of life. If a technical institute means to be effective in developing learned and qualified engineers, then it would be useful to know the performance of that technical institution. However, measuring the performance of a technical institution has received very little attention because it is very difficult to measure its output. Thus, this paper focuses on assessing the performance of eight Indian Institutes of Technology (IITs) using a combined approach of data envelopment analysis (DEA) and technique of order preference by similarity to ideal solution (TOPSIS). In the first phase, DEA is applied to shortlist the efficient IITs having the desired characteristics from the stakeholders’ point of view, and TOPSIS method is then employed to rank those efficient IITs while also identifying the best performing IIT. It is observed that IIT Kharagpur outperforms all the considered IITs which exactly corroborates with the findings of the recently published surveys/reports.

How to cite this paper

 Bhattacharyya, A & Chakraborty, S. (2014). A DEA-TOPSIS-based approach for performance evaluation of Indian technical institutes.Decision Science Letters , 3(3), 397-410.

Refrences

Abbott, M. & Doucouliagos, C. (2002). A data envelopment analysis of the efficiency of Victorian TAFE Institutes. Australian Economic Review, 35(1), 55-69.

Abbott, M. & Doucouliagos, C. (2003). The efficiency of Australian universities: a data envelopment analysis. Economics of Education Review, 22(1), 89-97.

Agha, S.R., Kuhail, I., Abdelnabi, N., Salem, M. & Ghanim A. (2011). Assessment of academic departments efficiency using data envelopment analysis. Journal of Industrial Engineering and Management, 4(2), 301-325.

Avkiran, N.K. (2001). Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis. Socio-Economic Planning Sciences, 35(1), 57-80.

Charnes, A., Cooper, W.W. & Rhodes E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444.

Charnes, A., Cooper, W.W. & Lewin, A.Y. (1994). Data envelopment analysis: theory, methodology and applications. Boston: Kluwer.

Das, M.C., Sarkar, B. & Ray, S. (2012). A framework to measure relative performance of Indian technical institutions using integrated fuzzy AHP and COPRAS methodology. Socio-Economic Planning Sciences, 46(3), 230-241.

Das, M.C., Sarkar, B. & Ray, S. (2013a). On the performance of Indian technical institutions: a combined SOWIA-MOORA approach. OPSEARCH, 50(3), 319-333.

Das, M.C., Sarkar, B. & Ray, S. (2013b). A decision support framework for performance evaluation of Indian technical institutions. Decision Science Letters, 2(4), 257-274.

Debnath, R.M. & Shankar, R. (2009). Assessing performance of management institutions: An application of data envelopment analysis. TQM Journal, 21(1), 20-33.

Fandel, G. (2007). On the performance of universities in North Rhine-Westphalia, Germany: Government’s redistribution of funds judged using DEA efficiency measures. European Journal of Operational Research, 176(1), 521-533.

Johnes, J. (2006a). Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK Universities 1993. European Journal of Operational Research. 174(1), 443-456.

Johnes, J. (2006b). 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(4-5), 115-128.

Khan, M.S., Mahapatra, S.S. & Sreekumar (2008) Service quality evaluation of technical institutions using data envelopment analysis. International Journal of Productivity and Quality Management, 3(1), 127-143.

Khouja, M. (1995). The use of data envelopment analysis for technology selection. Computers & Industrial Engineering, 28(1), 123-132.

Kounetas, K., Anastasiou, A., Mitropoulos, P. & Mitropoulos, I. (2011). Departmental efficiency differences within a Greek university: An application of a DEA and Tobit analysis. International Transactions in Operations Research, 18(5), 545-559.

Kuah, C.T. & Wong, K.Y. (2011). Efficiency assessment of universities through data envelopment analysis. Procedia Computer Science, 3, 499-506.

McMillan, M.L. & Datta, D. (1998). The relative efficiencies of Canadian universities: A DEA perspective. Canadian Public Policy, 24(4), 485-511.

Mondal, S. & Chakraborty, S. (2013). A solution to robot selection problems using data envelopment analysis. International Journal of Industrial Engineering Computations, 4(3), 355-372.

Sunitha, S. & Duraisamy, M. (2011). Measuring efficiency of technical education institutions in Kerala using data envelopment analysis. In Human Capital and Development (Eds. Siddharthan, N. & Naratanan, K.) Springer, 129-145.

Tyagi, P., Yadav, S.P. & Singh, S.P. (2009). Relative performance of academic departments using DEA with sensitivity analysis. Evaluation and Program Planning, 32(2), 168-177.

Wahab, N.A. & Abdul Rahman, A.R. (2012). Efficiency of zakat institutions in Malaysia: An application of data envelopment analysis. Journal of Economic Cooperation and Development, 33(1), 95-112.

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Decision Science Letters

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