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      범주형 환경변수를 고려한 부대성과평가 방법에 관한 연구 - DEA와 CCCA의 결합을 중심으로 - = Performance Evaluation of Military Corps with Categorical Environmental Variables

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      https://www.riss.kr/link?id=A101101455

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      다국어 초록 (Multilingual Abstract)

      There are many occasions that the performance of a corps is influenced not only by its own efforts but by the commander of the next higher unit in a vertical organizational structure. When the direction of the commander in the next higher organization is different from that of the actual evaluation agency, the unit under evaluation may get rated lower than what it should deserve. This study suggests an alternative method to evaluate the performance of military units in the situation that there exist critical environmental factors which affect the performance. This method employes DEA, a non parametric method, and Constrained Canonical Correlation Analysis(CCCA), a parametric method which is used to estimate a efficient frontier with multiple dependent variables and constraints. This article also exploits a set of categorical environmental variables in the CCCA to improve the fairness of performance evaluation. It is shown that the introduction of the categorical variables helps evaluating the true performance of individual units such as battalions subordinated to different next higher commanders.
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      There are many occasions that the performance of a corps is influenced not only by its own efforts but by the commander of the next higher unit in a vertical organizational structure. When the direction of the commander in the next higher organization...

      There are many occasions that the performance of a corps is influenced not only by its own efforts but by the commander of the next higher unit in a vertical organizational structure. When the direction of the commander in the next higher organization is different from that of the actual evaluation agency, the unit under evaluation may get rated lower than what it should deserve. This study suggests an alternative method to evaluate the performance of military units in the situation that there exist critical environmental factors which affect the performance. This method employes DEA, a non parametric method, and Constrained Canonical Correlation Analysis(CCCA), a parametric method which is used to estimate a efficient frontier with multiple dependent variables and constraints. This article also exploits a set of categorical environmental variables in the CCCA to improve the fairness of performance evaluation. It is shown that the introduction of the categorical variables helps evaluating the true performance of individual units such as battalions subordinated to different next higher commanders.

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      참고문헌 (Reference)

      1 "청와대 새소식" 2005

      2 김성준, "기관별 주요업무에 대한 성과평가지표 개발" 한국행정연구원 2002

      3 Tabachnick, B.G., "Using Multivariate Analysis" Harper Collins 1996

      4 Banker, "The Use of Categorical Variables in Data Envelopment Analysis" 1613-1627, 1986

      5 Sengupta, J.K.,, "Tests of Efficiency in Data Envelopment Analysis" 123-132, 1990

      6 Metters, R.,, "Successful Service Operations Management" South-Western College Publishing 2003

      7 Friedman, L., "Scaling Units via the Canonical Correlation Analysis in the DEA" 100 : 629-637, 1997

      8 Adler, N.,, "Review of Ranking Methods in the Data Envelopment Analysis Context" 140 : 249-265, 2002

      9 Cubbin, J., "Regression versus Data Envelopment Analysis for Efficiency Measurement An Application to the England and Wales Regulated Water Industry" 7 : 75-85, 1999

      10 Arnold, V.L.,, "New uses of DEA and Statistical Regressions for Efficiency Evaluation and Estimation" 66 : 255-327, 1996

      1 "청와대 새소식" 2005

      2 김성준, "기관별 주요업무에 대한 성과평가지표 개발" 한국행정연구원 2002

      3 Tabachnick, B.G., "Using Multivariate Analysis" Harper Collins 1996

      4 Banker, "The Use of Categorical Variables in Data Envelopment Analysis" 1613-1627, 1986

      5 Sengupta, J.K.,, "Tests of Efficiency in Data Envelopment Analysis" 123-132, 1990

      6 Metters, R.,, "Successful Service Operations Management" South-Western College Publishing 2003

      7 Friedman, L., "Scaling Units via the Canonical Correlation Analysis in the DEA" 100 : 629-637, 1997

      8 Adler, N.,, "Review of Ranking Methods in the Data Envelopment Analysis Context" 140 : 249-265, 2002

      9 Cubbin, J., "Regression versus Data Envelopment Analysis for Efficiency Measurement An Application to the England and Wales Regulated Water Industry" 7 : 75-85, 1999

      10 Arnold, V.L.,, "New uses of DEA and Statistical Regressions for Efficiency Evaluation and Estimation" 66 : 255-327, 1996

      11 Tofallis, C, "Model Building with Multiple Dependent Variables and Constraints" 48 : 371-378, 1999

      12 A, "Measuring Inefficiency of Decision-Making Units European Journal of Operational Research" 429-444, 1978

      13 손석호, "IDEA모형을 이용한 단위부대 운영의 효율성 평가" 국방대학교 2003

      14 장철희, "IDEA Model을 적용한 군부대 교육훈련의 효율성 평가" 국방대학교 2002

      15 정우근, "IDEA Model을 이용한 군단급 이상 야전병원의 효율성 측정에 관한 연구" 국방대학교 2003

      16 Cook, W.D.,, "Hierarchies and Groups in DEA" 10 : 177-198, 1998

      17 Gong, "Finite Sample Evidence on the Performance of Stochastic Frontiers and Data Envelopment Analysis Using Panel Data Journal of Econometrics" 259-284, 1992

      18 Cook, W.D., "Evaluating Power Plant Efficiency: A Hierarchical Model" 32 : 813-823, 2005

      19 Simar, L., "Estimation and Inference in Two Stage" Depatrment of Economics, Universtiy of Texas 2004

      20 Tofallis, C.,, "Combining Two Approaches to Efficiency Assessment" 52 : 1225-1231, 2001

      21 Cooper, W.W.,, "A Comprehensive Text with Models" Kluwer Academic Publishers 2000

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