Browse > Article

A DEA-based Benchmarking Framework in terms of Organizational Context  

Seol, Hyeong-Ju (Department of Industrial Engineering, Korea Air Force Academy)
Lim, Sung-Mook (Division of Business Administration, Korea University)
Park, Gwang-Man (Technology Strategy Research Division, Electronics and Telecommunications Research Institute)
Publication Information
Journal of Korean Society for Quality Management / v.37, no.1, 2009 , pp. 1-9 More about this Journal
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 frame-work 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.
Keywords
benchmarking; data envelopment analysis; global efficiency; local efficiency; organizational context;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Donthu, N., Hershberger, E. K. and Osmonbekov, T.(2005), 'Benchmarking marketing productiviey using data envelopment analysis', Joumal of Business Research, Vol. 58, No. 11, pp. 1474-1482   DOI   ScienceOn
2 Dyson, R., Thanassoulis, E., Athanassopoulos, A.(1993), 'Performance measurement, managerial control and data envelopment analysis', Warwick Business School Research Paper No. 113
3 Grupp, H.(1990), 'Technometrics as a missing link in science and technology indicators', In: Sigurdson, J. editor, Measuring the Dynamics of Technologcal Change, Pinter, London, pp. 57-76
4 Mcmullen, P. R. and Frazier, G. V.(1998), 'Using simulation and data envelopment analysis to compare assembly line balancing solutions', Journal of Productivity Analysis, Vol. 11, pp. 149-168   DOI   ScienceOn
5 Post, T. and Spronk, J.(1999), 'Performance benchnmarking using interactive data envelopment analysis', European Journal of Operational Research, Vol. 115, pp. 472-487   DOI   ScienceOn
6 Smith, P. (1993), 'Outcome-related performance indicators and organisational control in the public sector', British Journal of Management, Vol. 4, pp. 135-151   DOI   ScienceOn
7 Gonzalez, E. and Alvarez, A.(2001), 'From efficiency measurement to efficiency improvement: The choice of a relevant benchmark', European Journal of OperationaJ Research, Vol. 133, pp. 512-520   DOI   ScienceOn
8 Lovell, C. A. K. and Pastor, J. T.(1999), 'Radial DEA models without inputs or without output', European Journal of Operational Research, Vol. 118, pp. 46-51   DOI   ScienceOn
9 Shafer, S. M. and Byrd, T. A. (2000), 'A framework for measuring the efficiency of organizational investments in information technology using data envelopment analysis', The Intemational Journal of Management Science, Vol. 28, pp. 125-141   DOI   ScienceOn
10 Chang, H. H.(1998), 'Deterrninants of hospital efficiency: the case of central government-owned hospitals in Taiwan', The International Journal of Management Science， Vol. 26, No. 2, pp. 307-317   DOI   ScienceOn
11 Manandhar, R and Tang, J. C. S.(2002), 'The evaluation of bank branch performance using data envelopment analysis: A framework', The Joumal of High Technology Management Research, Vol. 13, pp. 1-17   DOI   ScienceOn
12 Sueyoshi, T., Ohnishi, K. and Kinase, Y.(1999), 'A benchmark approach for baseball evaluation', European Journal of Operational Research, Vol. 115, pp. 429-448   DOI   ScienceOn
13 Charnes, A., Cooper, W. W. and Rhodes, E. (1978), 'Measuring the efficiency of decision makingunits', European Journal of Operational Research, Vol. 2, pp. 429-444   DOI   ScienceOn
14 Luo, X.(2003), 'Evaluating the profitability and marketability efficiency of large banks-an application of data envelopment analysis', Joumal of Business Research, Vol. 56, pp. 627-635   DOI   ScienceOn
15 Ross, A. and Droge, C.(2002), 'An integrated benchnmarking approach to distribution center perfomance using DEA modeling', Journal of Operations Management, Vol. 20, pp. 19-32   DOI   ScienceOn
16 Spendolini M. J.(1992), The benchmarking book. America management association, New York
17 Alder, N., Friedman, L. and Sinuany-Stern, Z.(2002), 'Review of ranking method in the data envelopment analysis context', European Journal of OperatÍonal Research, Vol. 140, pp. 249-265   DOI   ScienceOn
18 Tata, J., Prasad, S. and Motwani, J.(2000), 'Benchnmarking quality management practices: U.S. versus Costa Rica', Multinational Business Reviem, Vol. 8, No. 2, pp. 37-51
19 Cooper, W. W., Seiford, L. M. and Tone, K(2000), Data envelopment analysis: a comprehensive text with models, applications, references and DEA-solver software, Kluwer academic publishers, Boston
20 Banker, R., Charnes, A. and Cooper, W. W.(1984), 'Some models for estimating technical and scale inefficiencies in data envelopment analysis', Management Science, Vol. 30, pp. 1078-1092   DOI   ScienceOn
21 Grosskopf. S. and Moutray, C.(2001), 'Evaluating performance in Chicago public high schools in the wake of decentralization', Economics of Education Review, Vol. 20, pp. 1-14   DOI   ScienceOn
22 Ammons, D. N.(2000), 'Benchmarking as a performance management tool: experiences among municipalities in North Carolina', Journal of Public BudgetÍng, Accounting & Financial Management, Vol. 12, No. 1, pp. 106-124   DOI
23 Athanassopoulos, A. D., Lambroukos, N. and Seiford, L.(1999), 'Data envelopment scenario analysis for setting targets to electricity generating plants', European journal of Operational Research, Vol. 115, pp. 413-428   DOI   ScienceOn