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      DEA에서 투입·산출 요소 선택 방법 = A Method for Selection of Input-Output Factors in DEA

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      https://www.riss.kr/link?id=A60213919

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      다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

      We propose a method for selection of input-output factors in DEA. It is designed to select better combinations of input-output factors that are well suited for evaluating substantial performance of DMUs. Several selected DEA models with different input-output factors combinations are evaluated, and the relationship between the computed efficiency scores and a single performance criterion of DMUs is investigated using decision tree. Based on the results of decision tree analysis, a relatively better DEA model can be chosen, which is expected to well represent the true performance of DMUs. We illustrate the effectiveness of the proposed method by applying it to the efficiency evaluation of 101 listed companies in steel and metal industry.
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      We propose a method for selection of input-output factors in DEA. It is designed to select better combinations of input-output factors that are well suited for evaluating substantial performance of DMUs. Several selected DEA models with different inpu...

      We propose a method for selection of input-output factors in DEA. It is designed to select better combinations of input-output factors that are well suited for evaluating substantial performance of DMUs. Several selected DEA models with different input-output factors combinations are evaluated, and the relationship between the computed efficiency scores and a single performance criterion of DMUs is investigated using decision tree. Based on the results of decision tree analysis, a relatively better DEA model can be chosen, which is expected to well represent the true performance of DMUs. We illustrate the effectiveness of the proposed method by applying it to the efficiency evaluation of 101 listed companies in steel and metal industry.

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      목차 (Table of Contents)

      • 1. 서론
      • 2. 배경 이론
      • 3. 새로운 투입·산출 요소 선택 방법
      • 4. 철강·금속 분야 상장기업의 효율성 분석
      • 5. 결론 및 제언
      • 1. 서론
      • 2. 배경 이론
      • 3. 새로운 투입·산출 요소 선택 방법
      • 4. 철강·금속 분야 상장기업의 효율성 분석
      • 5. 결론 및 제언
      • 참고문헌
      • Efficiency results from the nine DEA models
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      참고문헌 (Reference)

      1 민재형, "비모수기법을 이용한 기업도산예측 - DEA와 Negative DEA 교차층화기법의 개발 -" 한국경영학회 35 (35): 1157-1180, 2006

      2 Mcmullen, P. R., "Using Simulation and Data Envelopment Analysis to Compare Assembly Line Balancing Solutions" 11 (11): 149-168, 1998

      3 Bala, J., "Using Learning to Facilitate the Evolution of Features for Recognizing Visual Concepts" 4 (4): 297-312, 1996

      4 Banker, R. D., "The Use of Categorical Variables in Data Envelopment Analysis" 32 (32): 1613-1627, 1986

      5 Farrell, M. J., "The Measurement of Productive Efficiency" 120 (120): 253-290, 1957

      6 Banker, R., "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis" 30 (30): 1078-1092, 1984

      7 Lovell, C. A. K., "Radial DEA Models without Inputs or without Output" 118 (118): 46-51, 1999

      8 Ripley, B. D., "Pattern Recognition and Neural Networks" Cambridge University Press 1996

      9 Chou, P. A., "Optimal Partitioning for Classification and Regression Trees" 13 (13): 340-354, 1991

      10 Charnes, A., "Measuring the Efficiency of Decision Making Units" 2 (2): 429-444, 1978

      1 민재형, "비모수기법을 이용한 기업도산예측 - DEA와 Negative DEA 교차층화기법의 개발 -" 한국경영학회 35 (35): 1157-1180, 2006

      2 Mcmullen, P. R., "Using Simulation and Data Envelopment Analysis to Compare Assembly Line Balancing Solutions" 11 (11): 149-168, 1998

      3 Bala, J., "Using Learning to Facilitate the Evolution of Features for Recognizing Visual Concepts" 4 (4): 297-312, 1996

      4 Banker, R. D., "The Use of Categorical Variables in Data Envelopment Analysis" 32 (32): 1613-1627, 1986

      5 Farrell, M. J., "The Measurement of Productive Efficiency" 120 (120): 253-290, 1957

      6 Banker, R., "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis" 30 (30): 1078-1092, 1984

      7 Lovell, C. A. K., "Radial DEA Models without Inputs or without Output" 118 (118): 46-51, 1999

      8 Ripley, B. D., "Pattern Recognition and Neural Networks" Cambridge University Press 1996

      9 Chou, P. A., "Optimal Partitioning for Classification and Regression Trees" 13 (13): 340-354, 1991

      10 Charnes, A., "Measuring the Efficiency of Decision Making Units" 2 (2): 429-444, 1978

      11 Pareto, V., "Manuel d'economie politique" Marcel Giard 1927

      12 Tofallis, C., "Improving Discernment in DEA Using Profiling" 24 (24): 361-364, 1996

      13 Luo, X., "Evaluating the Profitability and Marketability Efficiency of Large Banks-an Application of Data Envelopment Analysis" 56 (56): 627-635, 2003

      14 Grosskopf, S., "Evaluating Performance in Chicago Public High Schools in the Wake of Decentralization" 20 (20): 1-14, 2001

      15 Charnes, A., "Envelopment Analysis for Pareto-Koopmans Efficient Empirical Production Functions" 30 (30): 91-107, 1985

      16 Sengupta, J. K., "Dynamics of Data Envelopment Analysis : Theory of Systems Efficiency" Kluwer Academic Publishers 1995

      17 Chang, H. H., "Determinants of Hospital Efficiency : the Case of Central Government-owned Hospitals in Taiwan" 26 (26): 307-317, 1998

      18 Sohn, S. Y., "Decision Tree Based on Data Envelopment Analysis for Effective Technology Commercialization" 26 (26): 279-284, 2004

      19 Cooper, W. W., "Data Envelopment Analysis: A Comprehensive Text with Models" Kluwer academic publishers 2000

      20 Talluri, S., "Data Envelopment Analysis : Models and Extensions" 31 : 8-11, 2000

      21 Chen, Y. L., "Constructing a Multi-valued and Multi-labeled Decision Tree" 25 (25): 199-209, 2003

      22 Hunt, K. J., "Classification by Induction: Application to Modeling and Control of Non-linear Dynamical Systems" 2 (2): 231-245, 1993

      23 Breiman, L., "Classification and Regression Trees" Chapman & Hall 1984

      24 Quinlan, J. R., "C4.5 : Programs for machine learning" Morgan Kaufmann 1993

      25 Donthu, N., "Benchmarking Marketing Productiviey Using Data Envelopment Analysis" 58 (58): 1474-1482, 2005

      26 Boussofiane, A., "Applied Data Envelopment Analysis" 52 (52): 1-15, 1991

      27 Kass, G. V., "An Exploratory Technique for Investigating Large Quantities of Categorical Data" 29 (29): 119-127, 1980

      28 Golany, B., "An Application Procedure for DEA" 17 (17): 237-250, 1989

      29 Roll, Y., "Alternate Methods of Treating Factor Weights in DEA" 21 (21): 99-109, 1989

      30 Koopmans, T. C., "Activity Analysis of Production and Allocation" Wiley 1951

      31 Sinuany-Stern, Z., "Academic Departments Efficiency via DEA" 21 (21): 543-556, 1994

      32 Andersen, P., "A procedure for ranking efficient units in data envelopment analysis" 39 (39): 1261-1264, 1993

      33 Min, J-H., "A Selection Process of Input and Output Factors Using Partial Efficiency in DEA" 23 (23): 75-90, 1998

      34 Charnes, A., "A Multiplicative Model for Efficiency Analysis" 16 (16): 213-224, 1982

      35 Shafer, S. M., "A Framework for Measuring the Efficiency of Organizational Investments in Information Technology Using Data Envelopment Analysis" 28 (28): 125-141, 2000

      36 Seol, H., "A Framework for Benchmarking Service Process Using Data Envelopment Analysis and Decision Tree" 32 (32): 432-440, 2007

      37 Sueyoshi, T., "A Benchmark Approach for Baseball Evaluation" 115 (115): 429-448, 1999

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      2013-01-01 평가 학술지 통합 (등재유지)
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      1999-01-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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