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Assessing the performance of business colleges in Taiwan using data envelopment analysis and student based value-added performance indicators

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  • Kong, Wei-Hsin
  • Fu, Tsu-Tan

Abstract

The purpose of this study is to construct a student-based performance evaluation model for business schools in Taiwan. College graduates’ starting wage and their multiple abilities cultivated in school are used as performance indicators. The value-added forms of these indicators are employed to assess the pure impact of school on graduate's performance. To prevent impractical indicator weights, we incorporate job market recruiters’ weights from an AHP survey into the assurance region data envelopment analysis (AR-DEA) for empirical analysis. Empirical results show that the public schools on average outperform the private schools. However, there are still some private schools that perform better than the public ones. Besides, in regard to the discriminatory power and the distribution of output weights, the proposed AR-DEA is better than DEA in measuring the performance of the business colleges in Taiwan.

Suggested Citation

  • Kong, Wei-Hsin & Fu, Tsu-Tan, 2012. "Assessing the performance of business colleges in Taiwan using data envelopment analysis and student based value-added performance indicators," Omega, Elsevier, vol. 40(5), pages 541-549.
  • Handle: RePEc:eee:jomega:v:40:y:2012:i:5:p:541-549
    DOI: 10.1016/j.omega.2011.10.004
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    References listed on IDEAS

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    1. Johnes, Geraint & Johnes, Jill, 1993. "Measuring the Research Performance of UK Economics Departments: An Application of Data Envelopment Analysis," Oxford Economic Papers, Oxford University Press, vol. 45(2), pages 332-347, April.
    2. Cherchye, L. & Abeele, P. Vanden, 2005. "On research efficiency: A micro-analysis of Dutch university research in Economics and Business Management," Research Policy, Elsevier, vol. 34(4), pages 495-516, May.
    3. Seifert, Lawrence M. & Zhu, Joe, 1998. "Identifying Excesses and Deficits in Chinese Industrial Productivity (1953-1990): a Weighted Data Envelopment Analysis Approach," Omega, Elsevier, vol. 26(2), pages 279-296, April.
    4. Keiji Hashimoto & Elchanan Cohn, 1997. "Economies of Scale and Scope in Japanese Private Universities," Education Economics, Taylor & Francis Journals, vol. 5(2), pages 107-115.
    5. Tser-Yieth Chen, 2002. "Measuring firm performance with DEA and prior information in Taiwan's banks," Applied Economics Letters, Taylor & Francis Journals, vol. 9(3), pages 201-204.
    6. Jill Johnes, 2006. "Measuring Efficiency: A Comparison of Multilevel Modelling and Data Envelopment Analysis in the Context of Higher Education," Bulletin of Economic Research, Wiley Blackwell, vol. 58(2), pages 75-104, April.
    7. Barry Gerhart, 1990. "Gender Differences in Current and Starting Salaries: The Role of Performance, College Major, and Job Title," ILR Review, Cornell University, ILR School, vol. 43(4), pages 418-433, July.
    8. Kao, Chiang & Hung, Hsi-Tai, 2008. "Efficiency analysis of university departments: An empirical study," Omega, Elsevier, vol. 36(4), pages 653-664, August.
    9. Lewis C. Solmon, 1973. "The Definition and Impact of College Quality," NBER Working Papers 0007, National Bureau of Economic Research, Inc.
    10. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    11. Shawna Grosskopf & Kathy J. Hayes & Lori L. Taylor & William L. Weber, 1999. "Anticipating the Consequences of School Reform: A New Use of DEA," Management Science, INFORMS, vol. 45(4), pages 608-620, April.
    12. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    13. Colbert, Amy & Levary, Reuven R. & Shaner, Michael C., 2000. "Determining the relative efficiency of MBA programs using DEA," European Journal of Operational Research, Elsevier, vol. 125(3), pages 656-669, September.
    14. Meyer, Robert H., 1997. "Value-added indicators of school performance: A primer," Economics of Education Review, Elsevier, vol. 16(3), pages 283-301, June.
    15. Abbott, M. & Doucouliagos, C., 2003. "The efficiency of Australian universities: a data envelopment analysis," Economics of Education Review, Elsevier, vol. 22(1), pages 89-97, February.
    16. Meng, Wei & Zhang, Daqun & Qi, Li & Liu, Wenbin, 2008. "Two-level DEA approaches in research evaluation," Omega, Elsevier, vol. 36(6), pages 950-957, December.
    17. Casu, B. & Thanassoulis, E., 2006. "Evaluating cost efficiency in central administrative services in UK universities," Omega, Elsevier, vol. 34(5), pages 417-426, October.
    18. Rumberger, Russell W. & Thomas, Scott L., 1993. "The economic returns to college major, quality and performance: A multilevel analysis of recent graduates," Economics of Education Review, Elsevier, vol. 12(1), pages 1-19, March.
    19. Takamura, Yoshiharu & Tone, Kaoru, 2003. "A comparative site evaluation study for relocating Japanese government agencies out of Tokyo," Socio-Economic Planning Sciences, Elsevier, vol. 37(2), pages 85-102, June.
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    Cited by:

    1. Kristof de Witte & Laura López-Torres, 2015. "Efficiency in Education. A Review of Literature and a Way Forward," Working Papers 1501, Departament Empresa, Universitat Autònoma de Barcelona, revised Apr 2015.
    2. Shahid Rasheed & ChangFeng Wang & Bruno Lucena, 2015. "Risk Leveling in Program Environments—A Structured Approach for Program Risk Management," Sustainability, MDPI, Open Access Journal, vol. 7(5), pages 1-24, May.
    3. William T. Alpert & Alexander Vaninsky, 2013. "Efficiency of College Education in the Labor Market of the United States," Working papers 2013-22, University of Connecticut, Department of Economics.
    4. Kao, Chiang, 2015. "Efficiency measurement for hierarchical network systems," Omega, Elsevier, vol. 51(C), pages 121-127.
    5. Mohammad Pakkar, 2015. "An integrated approach based on DEA and AHP," Computational Management Science, Springer, vol. 12(1), pages 153-169, January.
    6. Lai, Po‐Lin & Potter, Andrew & Beynon, Malcolm & Beresford, Anthony, 2015. "Evaluating the efficiency performance of airports using an integrated AHP/DEA-AR technique," Transport Policy, Elsevier, vol. 42(C), pages 75-85.

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