조직 상황을 고려한 DEA 기반의 벤치마킹 프레임워크 = A DEA-based Benchmarking Framework in terms of Organizational Context

다국어 초록 (Multilingual Abstract)

Data envelopment analysis(DEA) has proved to be powerful for benchmarking and has been widely used in a variety of settings since the advent of it. DEA can be used in identifying the best performing units to be benchmarked against as well as in providing actionable measure for improvement of a organization's performance. However, the selection of performance benchmarks is a matter of both technical production possibilities and organizational policy considerations, managerial preferences and external
restrictions. In that regards, DEA has a limited value in benchmarking because it focuses on only technical production possibilities. This research proposes a new perspective in using DEA and a framework for benchmarking to select benchmarks that are both feasible and desirable in terms of organizational context. To do this, the concept of local and global efficiency is newly proposed. To show how useful the suggested concept and framework are, a case study is addressed.

참고문헌 (Reference)

1 Mcmullen, P. R., "Using simulation and data envelopment analysis to compare assembly line balancing solutions" 11 : 149-168, 1998

2 Manandhar, R., "The evaluation of bank branch performance using data envelopment analysis: A framework" 13 : 1-17, 2002

3 Spendolini M. J., "The benchmarking book" America management association 1992

4 Grupp, H., "Technometrics as a missing link in science and technology indicators. In: Measuring the Dynamics of Technological Change" Pinter 57-76, 1990

5 Banker, R., "Some models for estimating technical and scale inefficiencies in data envelopment analysis" 30 : 1078-1092, 1984

6 Alder, N., "Review of ranking method in the data envelopment analysis context" 140 : 249-265, 2002

7 Lovell, C. A. K., "Radial DEA models without inputs or without output" 118 : 46-51, 1999

8 Dyson, R., "Performance measurement, managerial control and data envelopment analysis" (113) : 1993

9 Post, T., "Performance benchmarking using interactive data envelopment analysis" 115 : 472-487, 1999

10 Smith, P., "Outcome-related performance indicators and organisational control in the public sector" 3 : 135-151, 1993

11 Charnes, A., "Measuring the efficiency of decision making units" 2 : 429-444, 1978

12 Gonzalez, E., "From efficiency measurement to efficiency improvement: The choice of a relevant benchmark" 133 : 512-520, 2001

13 Luo, X., "Evaluating the profitability and marketability efficiency of large banks-an application of data envelopment analysis" 56 : 627-635, 2003

14 Grosskopf, S., "Evaluating performance in Chicago public high schools in the wake of decentralization" 20 : 1-14, 2001

15 Chang, H. H., "Determinants of hospital efficiency: the case of central government-owned hospitals in Taiwan" 26 (26): 307-317, 1998

16 Athanassopoulos, A. D., "Data envelopment scenario analysis for setting targets to electricity generating plants" 115 : 413-428, 1999

17 Cooper, W. W., "Data envelopment analysis: a comprehensive text with models, applications, references and DEAsolver software" Kluwer academic publishers 2000

18 Tata, J., "Benchmarking quality management practices: U.S. versus Costa Rica" 8 (8): 37-51, 2000

19 Donthu, N., "Benchmarking marketing productiviey using data envelopment analysis" 58 (58): 1474-1482, 2005

20 Ammons, D. N., "Benchmarking as a performance management tool: experiences among municipalities in North Carolina" 12 (12): 106-124, 2000

21 Ross, A., "An integrated benchmarking approach to distribution center performance using DEA modeling" 20 : 19-32, 2002

22 Sueyoshi, T., "Abenchmark approach for baseball evaluation" 115 : 429-448, 1999

23 Shafer, S. M., "A framework for measuring the efficiency of organizational investments in information technology using data envelopment analysis" 28 : 125-141, 2000