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DEA 모형을 이용한 국내 대학의 경영 효율성 평가The Evaluation of Administrative Efficiency of the Korean University Using DEA Model

Other Titles
The Evaluation of Administrative Efficiency of the Korean University Using DEA Model
Authors
유성진김용희김주훈최정일
Issue Date
Dec-2014
Publisher
한국품질경영학회
Keywords
Administrative Efficiency of Universities; Bootstrap; DEA; Tobit Regression
Citation
품질경영학회지, v.42, no.4, pp.647 - 664
Journal Title
품질경영학회지
Volume
42
Number
4
Start Page
647
End Page
664
URI
http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/10868
DOI
10.7469/JKSQM.2014.42.4.647
ISSN
1229-1889
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.
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