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Assessment of academic departments efficiency using data envelopment analysis

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DOI: 
doi:10.3926/jiem.2011.v4n2.p301-325
Abstract (2. Language): 
Purpose: In this age of knowledge economy, universities play an important role in the development of a country. As government subsidies to universities have been decreasing, more efficient use of resources becomes important for university administrators. This study evaluates the relative technical efficiencies of academic departments at the Islamic University in Gaza (IUG) during the years 2004-2006. Design/methodology/approach: This study applies Data Envelopment Analysis (DEA) to assess the relative technical efficiency of the academic departments. The inputs are operating expenses, credit hours and training resources, while the outputs are number of graduates, promotions and public service activities. The potential improvements and super efficiency are computed for inefficient and efficient departments respectively. Further, multiple linear -regression is used to develop a relationship between super efficiency and input and output variables. Findings: Results show that the average efficiency score is 68.5% and that there are 10 efficient departments out of the 30 studied. It is noted that departments in the faculty of science, engineering and information technology have to greatly reduce their laboratory expenses. The department of economics and finance was found to have the highest super efficiency score among the efficient departments. Finally, it was found that promotions have the greatest contribution to the super efficiency scores while public services activities come next. Research limitations/implications: The paper focuses only on academic departments at a single university. Further, DEA is deterministic in nature. Practical implications: The findings offer insights on the inputs and outputs that significantly contribute to efficiencies so that inefficient departments can focus on these factors. Originality/value: Prior studies have used only one type of DEA (BCC) and they did not explicitly answer the question posed by the inefficient departments "Which of the resources should be given priority so that these inefficient DMUs become efficient?". This study uses both (BCC) and (CCR) in addition to relating efficiencies to input and output variables.

REFERENCES

References: 

Abbott, M., & Doucouliagos, C. (2003). The Efficiency of Australian Universities: A Data Envelopment Analysis. Economics of Education Review, 22(1), 89-97. doi:10.1016/S0272-7757(01)00068-1
Asmilda, M., Paradib, J., Reesec, D. & Tamb, F. (2007). Measuring overall efficiency and effectiveness using DEA. European Journal of Operational Research, 178(1), 305-321. doi:10.1016/j.ejor.2006.01.014
Avkiran, N. (2002). Productivity Analysis in the Service Sector. Australia: N. K. Avkiran Publisher.
Banker, R. D., Charnes, A., & Cooper, W.W. (1984). Some Models for Estimating Technical and Scale Inefficiency in Data Envelopment Analysis. Management Science, 30(9), 1078-1092. doi:10.1287/mnsc.30.9.1078
Bhat, R., Verma, B. & Reuben, E. (2001). Data Envelopment Analysis (DEA). Journal of Health Management, 3(2), 309-328. doi:10.1177/097206340100300207
Charnes, A. Copper, W., Lewin, A. & Seiford, L. (1994). Data Envelopment Analysis: Theory, Methodology, and Application. Kluwer Academic Publisher.
Hassan, K. & Sanchez, B. (2007). Efficiency Determinants and Dynamic Efficiency Changes in Latin American Banking Industries. Networks Financial Institute Working Paper, No. 2007-WP-32.
Jacobs, R., Smith, P. & Street, A. (2006). Measuring Efficiency in Health Care: Analytic Techniques and Health Policy. Cambridge University Press. doi:10.1017/CBO9780511617492
Kao, C. & Hung, H. (2008). Efficiency Analysis of University Departments: An Empirical Study. Omega, 36(4), 653–664. doi:10.1016/j.omega.2006.02.003
Lopes, A., Lanzer, E. (2002). Data Envelopment Analysis-DEA And Fuzzy Sets to Assess The Performance of Academic Departments: A Study at Federal University Of Santa Catrina-UFSC. Pesquisa Operacional, 22(2), 217-230. doi:10.1590/S0101-74382002000200008
Moreno, A. & Tadepalli, R. (2002). Assessing Academic Department Efficiency a Public University. Managerial and Decision Economics, 23(7), 385-397. doi:10.1002/mde.1075
Pathomsiri, S. (2006). Assessment of Productive Efficiency of Airports. Dissertation at the University of Maryland - USA.
Scheel, H. (2000). Efficiency Measurement System Software “EMS”, Version 1.3.0.
Seiford, L.M. (1996). Data Envelopment Analysis: the evolution of the state of the art (1978 – 1995). Journal of Productivity Analysis, 7(2-3), 99-137. doi:10.1007/BF00157037

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