원문정보
A Comparison Study on University Research Efficiency Using DEA Analysis; focused on A University Case
초록
영어
Data Envelopment Analysis (DEA) is a useful tool to analyze the relative efficiency of decision making units (DMU) characterized by multiple inputs and multiple outputs. This method has been popularly used as an analytical tool to suggest some strategic improvement. To do this, the results of DEA provide decision makers with a single efficiency score, efficient frontier, return to scale, benchmarking decision making units, etc. The purpose of this paper is to evaluate research performance of 38 universities and provide an inefficient university with the way of organizational changes to be an efficient university by using DEA. Various input and output variables are used to identify technical and scale inefficiency. Additionally, we analyze how an inefficient DMU could be changed an efficient DMU based on a case university. This result will give an insight of constructive directions for increasing of research performance to university decision makers.
목차
1. 서론
2. DEA 모형
2.1 CCR 모형
2.2 BCC 모형
2.3 규모효율성
2.4 초효율성 분석
3. DEA 모형을 적용한 연구효율성 분석
3.1 DEA 분석 절차
3.2 분석 자료 및 자료의 기술통계분석
3.3 효율성 측정 분석
3.4 규모효율성 분석 및 원인규명분석
4. 사례 대학 (A 대학)의 효율성 분석
5. 결론 및 시사점
6. 참고 문헌