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Journal of Korean Society for Quality Management > Volume 42(4); 2014 > Article
Journal of Korean Society for Quality Management 2014;42(4): 647-.
DEA 모형을 이용한 국내 대학의 경영 효율성 평가
유성진1, 김용희1, 김주훈1, 최정일2
1숭실대학교 대학원 경영학과
2숭실대학교 경영대학
The Evaluation of Administrative Efficiency of the Korean University Using DEA Model
Sungjin Yoo1, Yonghee Kim1, Joohoon Kim1, Jeongil Choi2
1Graduate School of Soongsil University
2College of Business Administration, Soongsil University
ABSTRACT
Purpose:
The purpose of this study was to evaluate administrative efficiency of the Korean university and to identify the factors which may affect on the efficiency of universities. In addition, last purpose of this study was to compare correlation among administrative, research and education model.
Methods:
The collected data through Higher Education in Korea were analysed using DEA (Data Envelopment Analysis). Furthermore, in order to provide the better accurate results by removing the bias of the results, this paper implements Bootstrap DEA. It also analyzed the causes of efficiency by Tobit Regression after setting the dependent variable as a proposed efficiency score and compared correlation analysis results between other models.
Results:
The results of this study are as follows; First, the Korean universities showed low administrative efficiencies. Second, efficiency of national universities are higher than it of private universities. Finally, the administrative and research education model have statistically significant correlation. However, usually many Korean universities focus their resources on education performance such as employment and rates to attract new students than research performances.
Conclusion:
This study shows that the administrative efficiency positively affects both research and educational efficiency. Approximately 70% of the Korean universities needs to improve their administrative efficiencies and to pay attention to enhance their poor services, low-level performances.
Key Words: Administrative Efficiency of Universities;Bootstrap;DEA;Tobit Regression;
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