Browse > Article
http://dx.doi.org/10.7232/JKIIE.2013.39.4.298

Efficiency Comparison and Performance Targets for Academic Departments in the Local Private College Using DEA  

Bae, Jae-Ho (Department of Logistics and Distribution Management, Hyechon College)
Publication Information
Journal of Korean Institute of Industrial Engineers / v.39, no.4, 2013 , pp. 298-312 More about this Journal
Abstract
This paper compares efficiency results and performance targets for academic departments in a local private college using DEA (Data Envelopment Analysis). Because of an aging society, a smaller school-age population entering colleges, and enhanced accreditation standards by the government, colleges and universities are not recruiting and retaining sufficient students and therefore are struggling for survival. In contrast to popular four-year undergraduate universities concentrated in Seoul and its satellite cities, retaining students is critical for the survival of local private colleges in poor or remote regions. Therefore, it is very important to identify the factors involved in the retention of students in the various departments of a college. However, given the different characteristics of the departments, it is difficult to identify one unique or robust set of standards to evaluate their performance. The purpose of this paper is to maximize student retention capabilities by ensuring that additional resources are assigned to efficient DMUs, while, inefficient DMUs are given benchmarked targets. Based on previous studies and college accreditation standards, this paper presents indices to be used in evaluating the efficiency of academic departments in a college. In evaluating relative efficiency, this paper uses the output-oriented BCC model. To define target levels to be achieved for efficient DMU, a multi-stage DEA procedure is used.
Keywords
DEA(Data Envelopment Analysis); Education Performance; Education Service; Local Private College; Output-oriented DEA; DMU(Decision Making Unit);
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 Coelli, T. J. (1996), A Guide to DEAP Version 2.1 : A Data Envelopment Analysis(Computer) Program, Center for Efficiency and Productivity Analysis(CEPA) Working Papers, Retrieved(http://www.une.edu.au/econometrics/cepawp.htm).
2 Cooper, W. W., Seiford, L. M. and Tone, K. (2006), Data Envelopment Analysis : A Comprehensive Text with Models, Applications, References and DEA-solver Software, 2nd ed. Boston : Kluwer Academic Publisher.
3 Johnes, G. (1987), Research Performance Indications in the University Sector, Higher Education Quarterly, 42(1), 54-71.   DOI
4 Johnes, G. (1990), Measures of Research Output : University Departments of Economics in the UK, 1984-1988, The Economic Journal, 100(401), 556-560.   DOI   ScienceOn
5 Johnes, J. (1996), Performance assessment in higher education in Britain, European Journal of Operational Research, 89(1), 18-33.   DOI   ScienceOn
6 KAVE (2012), Accreditation Handbook. edited by J. H. Ahn. Korean Council for University College Education, Retrieved(http://www.kave.or.kr/board/index.php?IdNo = 5&keyword = &keyfield = &Category = &in Type = &page = 0&SeqNo = 128&tag = read).
7 Kim, I. J., Lee, D. K., and Song, K. C. (2000), A Study of Measuring Effectivenss on Finacial Support for University : Focused on Data Envelopment Analysis, Seoul : Ministry of Education and Human Resources Development.
8 Kim, K. W. and Choi, H. J. (2005), A Study of Considerations in Applying DEA Method : Focused on Local Administration, Local Administration Research, 19(3), 213-424.
9 Kim, K. W., Lee, H. Y., and Park, H.-Y. (2004), Measuring Relative Efficiency of Local Government's Field Administration, Eup and Myun, by use of DEA/AHP Model, Local Government Research, 8(4), 299-317.
10 Korean Council for University College Education (2011), Education Indices of University College, 2010, edited by Yoon, Y. S., Lee, S. J., Yoon, C. K., Korean Council for University Colldege Education.
11 Kwak, Y. J. (1993), Trend Analysis of Efficiency Univeristy Library Using DEA, CNU Journal of Management and Economics, 9(1), 183-206.
12 Kwon, Y. H., Kim, S. Y., and Lee, N. J. (2010), A study on the Measurement of Efficiency in University's Operation Using DEA Model : Focused on the Comparative Method of the University in the Capital and the Local Area, Journal of Service Management, 11(1), 179-208.
13 Lee, C. W. and Jeon, S. J. (2011), Measure the Productivity of Airports in Korea Considering Environment Factor : An Application of DEA, Journal of the Korean Institute of Industrial Engineers, 37(4), 350-357.   과학기술학회마을   DOI   ScienceOn
14 Lee, H. B. and Lee, S. H. (2001), An Exploratory Study for the Evaluation of University Efficiency through Data Envelopment Analysis, Industry Economics Research, 14(2), 261-277.
15 Lee, S. Y. (2009), Management Efficiency Analysis of Private University Using DEA, Educational Administration Research, 27(2).
16 Lim, S. (2009), A Method for Selection of Input Output Factors in DEA, IE Interfaces, 22(1), 44-55.   과학기술학회마을
17 Mo, S. W. (2006), An Efficiency Evaluation of Junior Colleges Using DEA Model, Industry Economics Research, 19(4), 1581-1595.
18 Na, M. J. and Kim, M. H. (2005), International Comparison of Efficiency for University Education using DEA, Educational Finance and Economy Research, 14(2).
19 R Core Team (2012), R : A Language and Environment for Statistical Computing. Vienna, Austria : R Foundation for Statistical Computing, Retrieved(http://www.R-project.org/).
20 Shim, K. S. and Kim, J. Y. (2012), The Development of the DEA-AR Model using Multiple Regression Analysis and Efficiency Evaluation of Regional Corporation in Korea, Journal of the Korean Operations Research and Management Science Society, 37(1), 29-43.   과학기술학회마을   DOI   ScienceOn
21 Sinuany-Stern, Z., Mehrez, A., and Barboy, A. (1994), Academic departments efficiency via DEA, Computers and Operations Research, 21(5), 543-556.   DOI   ScienceOn
22 Tomkins, C. and Green, R. (1988), An Experiment in the Use of Data Envelopment Analysis for Evaluating the Efficiency of UK University Departments of Accounting, Higher Education Quarterly, 4(2), 147-64.
23 Wilson, P. W. (2010), FEAR : Frontier Efficiency Analysis with R., R package version 1.15.
24 Yoo, K. R. (2007), Formulation and Applicatioin of Envelopment Model in Data Envelopment Analysis for Performance Evaluation by the Theory of Duality, Journal of the Korea Association for Policy Analysis and Evaluation, 17(4), 57-86.
25 Youn, J. W. and Park, K. (2006), The Efficiency Analysis of Colleges Using DEA : Focused on the Case of University 'A', Productivity Review, 20(4), 19-39.
26 Yun, K. J. (2003), Using DEA to Measure the Public Sector Efficiency : A Review and Proposal, Research of Governmental Studies, 9(2), 7-31.
27 Abbott, M. and Doucouliagos, C. (2003), The efficiency of Australian universities : a data envelopment analysis, Economics of Education Review, 22(1), 89-97.   DOI   ScienceOn
28 Agha, S. R., Kuhail, I., Nabi, N. A., Salem, M., and Ghanim, A. (2011), Assessment of academic departments efficiency using data envelopment analysis, Journal of Industrial Engineering and Management, 4(2).
29 Ahn, T. S. et al. (1989), DEA and ratio efficiency analyses for public institutions of higher learning in texas, Greenwich, CT. : JAI Press.
30 Ahn, T. S., Cho, G.-J., and Park, T.-J. (1998), Efficiency Pattern and Its Inflence Factors in Korean University, Accounting Research, 23(2), 183-216.
31 Andersen, P. and Petersen, N. C. (1993), A Procedure for Ranking Efficient Units in Data Envelopment Analysis, Management Science, 39(10), 1261-1264.   DOI   ScienceOn
32 Athanassopoulos, A. D. and Shale, E. (1997), Assessing the Comparative Efficiency of Higher Education Institutions in the UK by the Means of Data Envelopment Analysis, Education Economics, 5(2), 117-34.   DOI   ScienceOn
33 Avkiran, N. K. (2001), Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis, Socio-Economic Planning Sciences, 35(1), 57-80.   DOI   ScienceOn
34 Bae, J. H. (2009), A CEM Project Methodology and Vector-weighted Integration Model of KPIs, PhD. Dissertation, Suwon, S. Korea : Ajou University.
35 Banker, R. D., Charnes, A. and Cooper, W. W. (1984), Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment, Management Science, 30(9), 1078-1092.   DOI   ScienceOn
36 Bogetoft, P. and Otto, L. (2010), Benchmarking with DEA, SFA, and R. Springer.
37 Boussofiane, A., Dyson, R. G., and Thanassoulis, E. (1991), Applied data envelopment analysis, European Journal of Operational Research, 52(1), 1-15.   DOI   ScienceOn
38 Charnes, A. and Cooper, W. W. (1985), Preface to topics in data envelopment analysis, Annals of Operations Research, 2(1), 59-94.
39 Charnes, A., Cooper, W. W., and Rhodes, E. (1978), Measuring the efficiency of decision making units, European Journal of Operational Research, 2(6), 429-44.   DOI   ScienceOn
40 Choi, H. and Sohn, S. Y. (1999), Efficiency Comparision via DEA for Academic Departments in College of Engineering, Research of Engineering Education, 2(1), 29-38.
41 Choi, H. T. and Kang, H. J. (2010), Administrative Information Disclosure and Relative Efficiency Analysis for Universities or Colleges, The Journal of the Korea Contents Association, 10(11), 371-79.   과학기술학회마을   DOI   ScienceOn
42 Choi, T. S., Kim, S. H., and Kim, H. K. (1999), Use of DEA for Evaluating Efficiency of Nonprofit Organizations : Evaluation of Efficiency for University Research, CNU Journal of Management and Economics, 11, 37-58.