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Dea Approach For The Current And The Cross Period Efficiency For Evaluating The Vocational Education

Author

Listed:
  • LI-CHEN LIU

    (Graduate Institute of Management Science, Ming Chuan University and Department of Industrial Engineering and Management, Lee-Ming Institute of Technology, ROC)

  • CHUAN LEE

    (Graduate Institute of Management Science, Ming Chuan University, ROC)

  • GWO-HSHIUNG TZENG

    (Institute of Technology Management, and Energy and Environmental Research Group, College of Management, National Chiao Tung University, 1001, Ta-Hsueh Rd., Hsinchu 300, Taiwan, ROC)

Abstract

This study proposes an improved assessment system for vocational education, thus helping to increase technology college education efficiency. Data Envelopment Analysis (DEA) was used to examine the relative managerial efficiency for evaluating current-period and cross-period efficiency of 38 technological institutes upgraded from junior colleges in Taiwan by 1998. In addition, the managerial efficiency variations of each individual institute in between 1995 and 1998 were also determined. The study results show that the operational category is significant among primary analysis variants, i.e. private schools perform significantly better than public schools in terms of managerial efficiency. However, geographical location is not significant. This study also verifies that integration of the results of both relative managerial efficiency analysis and managerial efficiency variation analysis could be a powerful approach to help design managerial strategies that are both appropriate and effective. Some strategies to improve organization-wide operational competencies for site decision-makers are recommended, and a new way of thinking to construct a more appropriate evaluation system for the educational authorities is introduced.

Suggested Citation

  • Li-Chen Liu & Chuan Lee & Gwo-Hshiung Tzeng, 2004. "Dea Approach For The Current And The Cross Period Efficiency For Evaluating The Vocational Education," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 3(02), pages 353-374.
    • Handle: RePEc:wsi:ijitdm:v:03:y:2004:i:02:n:s0219622004001069
    DOI: 10.1142/S0219622004001069
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    Cited by:

    1. Farzaneh Asadi & Sohrab Kordrostami & Alireza Amirteimoori & Morteza Bazrafshan, 2023. "Inverse data envelopment analysis without convexity: double frontiers," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 46(1), pages 335-354, June.
    2. Sun, Yu & Yang, Feng & Wang, Dawei & Ang, Sheng, 2023. "Efficiency evaluation for higher education institutions in China considering unbalanced regional development: A meta-frontier Super-SBM model," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).

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