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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.

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  • 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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    8. Antonella Basso & Stefania Funari, 2020. "A three-system approach that integrates DEA, BSC, and AHP for museum evaluation," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 43(2), pages 413-441, December.
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    12. Aatzaz Hassan & Muhammad Ramzan Sheikh & Rana Zafar Hayat & Neelam Asghar Ali, 2022. "An Efficiency Analysis of Public and Private Elementary Schools in Dera Ghazi Khan," Journal of Policy Research (JPR), Research Foundation for Humanity (RFH), vol. 8(3), pages 135-150, September.
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    14. López-Torres, Laura & Prior, Diego, 2022. "Long-term efficiency of public service provision in a context of budget restrictions. An application to the education sector," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    15. Shahid Rasheed & ChangFeng Wang & Bruno Lucena, 2015. "Risk Leveling in Program Environments—A Structured Approach for Program Risk Management," Sustainability, MDPI, vol. 7(5), pages 1-24, May.
    16. 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.
    17. Tien-Hsiang Chang & Ling-Jing Kao & Tsung-Yin Ou & Hsin-Pin Fu, 2018. "A Hybrid Method to Measure the Operational Performance of Fast Food Chain Stores," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 17(04), pages 1269-1298, July.
    18. Shih-Pin Chen & Chung-Wei Chang, 2021. "Measuring the efficiency of university departments: an empirical study using data envelopment analysis and cluster analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5263-5284, June.
    19. Kao, Chiang, 2015. "Efficiency measurement for hierarchical network systems," Omega, Elsevier, vol. 51(C), pages 121-127.
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    21. Mohammad Pakkar, 2015. "An integrated approach based on DEA and AHP," Computational Management Science, Springer, vol. 12(1), pages 153-169, January.

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