Assessing performance of management institutions

TQM Journal - Tập 21 Số 1 - Trang 20-33 - 2009
RomaMitra Debnath1, RaviShankar2
1IGSM, Greater Noida, Uttar Pradesh, India
2School of Management, Asian Institute of Technology, Pathumthani, Thailand

Tóm tắt

PurposeUtilizing data envelopment analysis (DEA), this paper seeks to examine the performance of 20 Indian B‐Schools, separating their profitability and marketability. The technique allows one to identify those management institutions which are able to utilize their resources in a most efficient way such that the overall goals of the organization are satisfied and total outcome maximized. If a management institution means to be effective in developing professionals who are going to be competent leaders and managers, then it would be useful to know the performance of the management institutes. However, measuring the performance of management institutes has received very little attention compared with other industries because it is difficult to measure its output.Design/methodology/approachA DEA model is used to evaluate the relative efficiency of a group of decision‐making units (DMUs) in their use of multiple inputs to produce multiple outputs where the form of production is neither known nor specified as in the case of parametric approach.FindingsThe paper ranks management institutes from various points of stakeholders. The main findings are how much of the benefit from ranking of the B‐Schools is credited because of its efficiency in converting the inputs to outputs. Does the ranking of any institution depend on scale of operations (scale efficiency) or is it only based on technical efficiency? Technical efficiencies are identified with failures to achieve best possible output levels and/or usage of excessive amounts of inputs.Practical implicationsAs Indian management schools widely publicize job offers with six figure salaries, managerial value addition, national ranking etc. provide an important impression about the management institutions. However, the reported results of experiments on input and output measures do not seem to differ between the ten best run institutes and the next ten institutes in terms of scale efficiency.Originality/valueThe paper is one of the few written from the Indian perspective.

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Tài liệu tham khảo

Banker, R.D., Charnes, A.W. and Cooper, W.W. (1984), “Some models for estimating technical and scale inefficiencies in data envelopment analysis”, Management Science, Vol. 30 No. 9, pp. 1078‐92.

Berger, A.N., Brockett, P.L., Cooper, W.W. and Pastor, J.T. (1997), “New approaches for analyzing and evaluating the performance of financial institutions”, European Journal of Operation Research, Vol. 98, pp. 170‐443.

Boyatzis, R.E. and Renio, A. (1989), “Research article; the impact of an MBA on managerial abilities”, Journal of Management Development, Vol. 8 No. 5, pp. 66‐77.

Business World (2005), India's Best Schools, Business World, New Delhi.

Charnes, A. and Cooper, W.W. (1962), “Programming with linear fractional functions”, Naval Research Logistic Quarterly, Vol. 9 No. 304, pp. 181‐6.

Charnes, A., Cooper, W.W. and Rhodes, E. (1978), “Measuring the efficiency of decision making units”, European Journal of Operational Research, Vol. 2 No. 2, pp. 429‐44.

Cooper, W.W., Park, K.S. and Pastor, J.T. (1999), “RAM: a range adjusted measure of efficiency”, Journal of Productivity Analysis, Vol. 11, pp. 5‐42.

Cooper, W.W., Seiford, L.M. and Tone, K. (2000), Data Envelopment Analysis: A Comprehensive Text with Models Applications, References and DEA‐solver Software, Kluwer Academic Publishers, Dordrecht.

Cronin, J.J. and Taylor, S.A. (1992), “Assuring service quality: a re‐examination and extension”, Journal of Marketing, Vol. 56, pp. 55‐68.

Dreher, G.F., Dougherty, T.W. and Whitely, B. (1985), “Generalizability of MBA degree and socio‐economic efforts on business school graduates' salaries”, Journal of Applied Psychology, Vol. 70, pp. 769‐73.

Espey, J. and Batchelor, P. (1987), “Management by degrees: a case study in management development”, Journal of Management Development, Vol. 6 No. 5, pp. 61‐8.

Farrell, M.J. (1957), “The measurement of production efficiency”, Journal of the Royal Statistical Society, Series A, Vol. 120 No. 3, pp. 253‐90.

Fiekers, T., Dale, B.G., Littler, D.A. and Vob, W. (2000), “Benchmarking the postgraduate admission process”, Quality Management Journal, Vol. 7 No. 4, pp. 45‐57.

Haksever, C. and Muragishi, Y. (1998), “Measuring values in MBA programmes”, Education Economics, Vol. 6 No. 1, pp. 15‐26.

Hamlen, W. Jr and Southwick, L. Jr (1989), “Quality in the MBA program: inputs, outputs or value added?”, Journal of Economic and Social Measurement, Vol. 19, pp. 1‐26.

Harris, R.W. (1994), “Alien or ally? TQM, academic quality and the new public management”, Quality Assurance in Education, Vol. 2 No. 3, pp. 33‐9.

Korhonen, P. and Syrjanen, M. (2004), “Resource allocation based on efficiency analysis”, Management Science, Vol. 50 No. 8, pp. 1134‐44.

Laugharne, M. (2002), “Benchmarking academic standards”, Quality Assurance in Education, Vol. 10 No. 3, pp. 134‐8.

Lewin, A.Y., Morey, R.C. and Cook, T.J. (1982), “Evaluating the administrative efficiency of courts”, OMEGA, Vol. 10, pp. 401‐11.

Parasuraman, A., Berry, L. and Zeithaml, V. (1988), “SERVQUAL: a multiple item scale for measuring consumer perceptions of service quality”, Journal of Retailing, Vol. 64, Spring, pp. 12‐40.

Ramanathan, R. (1966), An Introduction to Data Envelopment Analysis: A Tool for Performance Measurement, Sage Publications, New Delhi, Thousand Oaks, CA, London.

Rouatt, S. (2003), “Two stage evaluation of bank branch efficiency using data envelopment analysis”, MSc dissertation, Centre for Management of Technology and Entrepreneurship.

Ruggiero, J. (2001), “Determining the base cost of education: an analysis of Ohio school districts”, Contemporary Economic Policy, Vol. 19, pp. 268‐79.

Ruggiero, J. (2004), “Performance evaluation in education: modeling educational production”, Chapter 12, Handbook on DEA, Kluwer Academic Publishers, Boston, MA, Dordrecht, London.

Sallis, E. (1993), TQM in Education, Kogan Page, London.

Seiford, L.H. (1996), “Data envelopment analysis: the evolution of the state‐of‐the‐art (1978‐1995)”, Journal of Productivity Annals, Vol. 7, pp. 99‐137.

Shammari, M.A. and Salimi, A. (1998), “Modeling the operating efficiency of banks: a nonparametric methodology”, Logistic Information Management, Vol. 11 No. 1, pp. 5‐17.

Shaw, M. and Green, H.D. (2002), “Benchmarking the PhD – a tentative beginning”, Quality Assurance in Education, Vol. 10 No. 2, pp. 116‐24.

Sherman, H.D. (1984), “Hospital efficiency measurement and evaluation”, Medical Care, Vol. 22 No. 10, pp. 922‐8.

Stavárek, D. (2005), Efficiency of Banks in Regions at Different Stage of European Integration Process, Economics Working Paper, Archive EconWPA, Oxford.

Sueyoshi, T. (1999), “DEA duality on Returns to Scale (RTS) in production and cost analyses: an occurrence of multiple solutions and differences between production based and cost based RTS estimates”, Management Science, Vol. 45 No. 11, pp. 1593‐608.

Vassiloglou, M. and Giokas, D. (1990), “A study of the relative efficiency of the bank branches: an application of data envelopment analysis”, Journal of the Operational Research Society, Vol. 41 No. 7, pp. 591‐7.

Wan Endut, W., Abdullah, M. and Husain, N. (2000), “Benchmarking institutions of higher education”, Total Quality Management, Vol. 11 Nos 4‐6, pp. 796‐9.

Zenios, C.V., Zenios, S.A., Agathocleous, K. and Soteriou, A.C. (1999), “Benchmarks of the efficiency of bank branches”, Interfaces, Vol. 29 No. 3, pp. 37‐51.

Jackson, N. (2001), “Benchmarking in UK HE: an overview”, Quality Assurance in Education, Vol. 9 No. 4, pp. 218‐35.

Roll, Y., Cook, W.D. and Golany, B. (1991), “Controlling factor weights in data envelopment analysis”, IIE Transactions, pp. 2‐9.