大學의 成果 評價에 관한 硏究 : DEA 技法에 의한 效率性 分析

다국어 초록 (Multilingual Abstract)

In recent years, the management environment of Korean universities has changed rapidly to gain more competitiveness. Leading universities, already having established a good reputation, will survive and grow continuously, whilst average universities may experience a serious crisis if not attending to the needs of the university. To promote a universitys efficiency or management, we will need more accurate methods such as the DEA (Data Envelopment Analysis) to identify the inefficient parts.
This study has examined DEA and how it measures the efficiency of university units. This study has also suggested various approaches to promote efficiency.
Data Envelopment Analysis is a useful nonparametric method to evaluate the relative efficiency of a set of decision-making units (DMUs) with multiple inputs and outputs.
This study has evaluated 38 different Korean universities utilizing the National Citation Report (NCR) focusing on the years between 1995 and 2003. The NCR states that each of these Korean universities had published over 500 works between the years of 1995-2003.
Among the various types of DEA models, this study mainly uses the CCR (Charnes, Cooper & Rhodes) model, which aligns inputs and outputs simultaneously. In this model, the input factors are the following: university employees (faculty and staff), salary, internal research expenses, and the library. The resulting output factors are the citations in international citation indexes, published works including journal articles and essays written by professors and their graduate students, external research expenses, impact factors of dissertations and the overall reputation gained by the university.
The outcome of this evaluation is as follows: Out of 38 universities, are the 19 efficient units i.e efficient universities (the value of efficiency is 100%). For the inefficient units of a university, we research methods for improving the DEA efficiency. These suggestions are based on data derived from the following factors: peer group, actual value, target value, slack input achieved, output achieved. These data are acquired by running DEA software (Banxia Software Ltd.)
This study can provide substantial guidance for enhancing the competitiveness between universities, through identifying problematic areas within the input factors and, by doing so, improving the output factors. Although this study may lack some research design, the overall results can contribute to the improvement of efficiency and competitiveness of Korean universities.

목차 (Table of Contents)

• 차례
• 第1章 序論 = 1
• 第1節 硏究目的 = 1
• 第2節 硏究範圍 = 6
• 第3節 硏究方法 = 7
• 1. 분석방법 = 7
• 2. 자료수집 = 9
• 第4節 硏究動向 = 10
• 第2章 理論的ㆍ制度的 背景 및 分析의 틀 = 12
• 第1節 效率性과 效率性 評價 = 12
• 1. 효율성의 개념 = 12
• 2. 행정관리와 효율성 = 17
• 3. 효율성 평가의 접근방법 = 22
• 第2節 資料包絡分析(DEA)에 의한 效率性 測定 = 26
• 1. DEA의 성격 = 26
• 2. DEA의 접근모형 = 32
• 3. 교육기관에 대한 DEA의 적용 사례분석 = 41
• 第3節 大學 行政과 韓國의 大學評價 = 48
• 1. 대학행정과 대학평가 = 48
• 2. 교육인적자원부 대학평가 = 57
• 3. 한국대학교육협의회 대학평가 = 63
• 4. 언론사 대학평가 = 68
• 5. 인증원(평가원)의 대학평가 = 73
• 第4節 分析의 틀 = 77
• 1. 분석의 틀 구성 = 77
• 2. 변수의 정의 = 80
• 第3章 大學 行政 效率性의 測定과 比較分析 = 85
• 第1節 資料와 效率性 測定 = 85
• 1. 기본자료 = 85
• 2. 기술통계 분석 = 88
• 3. DEA에 의한 상대적 효율성 = 93
• 第2節 DEA 效率値의 集團 間 比較分析 = 96
• 第3節 DEA 效率値와 他 評價의 比較分析 = 109
• 1. DEA 효율치와 중앙일보 평가의 비교 = 109
• 2. DEA 효율치와 지수법과의 비교 = 112
• 第4章 大學 行政의 非效率性 分析과 效率性 增大 = 118
• 第1節 效率的·非效率的 大學 間의 差異分析 = 118
• 1. 대학 단위의 차이분석 = 119
• 2. 투입요소별 차이분석 = 121
• 3. 산출요소별 차이분석 = 123
• 第2節 非效率的 大學의 準據集團과 潛在可能値 = 125
• 1. 비효율적 대학의 준거집단 = 125
• 2. 비효율적 대학의 잠재가능치 = 128
• 第3節 非效率的 大學의 效率性 增大方案 = 131
• 1. 분석대상 대학의 선정 = 131
• 2. 수도권 대학의 사례분석 = 132
• 3. 지방대학의 사례분석 = 141
• 第6 章 結論 = 151
• 第1節 硏究要約 = 151
• 第2節 政策的 含意 = 152
• 第3節 硏究限界 = 157
• 參考文獻 = 160
• 부록 1 대학별 DEA 평가결과표 = 169
• 부록 2 효율적 대학의 사례분석(성균관대학교) = 188
• ABSTRACT = 193