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Overview on Data Envelopment Analysis

  • Sergey SamoilenkoEmail author
Chapter
Part of the Integrated Series in Information Systems book series (ISIS, volume 34)

Abstract

The chapter provides a general introductory overview of data envelopment analysis. Its main purpose is to introduce the reader to the major concepts underlying this nonparametric technique. After familiarizing the reader with the general process used in calculating the scores of relative efficiency, the chapter presents an overview of various orientations and types of DEA models. In conclusion, the chapter gives an overview of using DEA for the purposes of constructing Malmquist index, a popular tool for measuring changes in efficiency over time; a brief example is used to illustrate major points.

Keywords

Data Envelopment Analysis Total Factor Productivity Relative Efficiency Data Envelopment Analysis Model Office Worker 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Caves DW, Christensen LR, Diewert WE (1982) The Economic Theory of Index Numbers and the Measurement of Input, Output, and Productivity. Econometrica 50:1393–1414Google Scholar
  2. Cooper WW, Seiford LM, Zhu J (2004) Data envelopment analysis: history, models and interpretations. In: Cooper WW, Seiford LM, Zhu J (eds) Handbook on data envelopment analysis, Chap. 1. Kluwer Academic Publishers, Boston, pp 1–39Google Scholar
  3. Färe R, Grosskopf S, Norris M, Zhang Z (1994) Productivity Growth, Technological Progress, and Efficiency in Industrialized Countries. Am Econ Rev 84:374–380Google Scholar
  4. Grifell-Tatjé C, CAK Lovell (1995) A Note on the Malmquist productivity index. Econ Lett 47:169–175Google Scholar
  5. Grifell-Tatjé C, CAK Lovell (1999) Profits and Productivity. Manage Sci, INFORMS 45(9):1177–1193Google Scholar
  6. Malmquist S (1953) Index numbers and indifference surfaces. Trabajos de Estatistica 4:209–242Google Scholar
  7. Seol H, Choi J, Park G, Park Y (2007) A framework for benchmarking service process using data envelopment analysis and decision tree. Expert Syst Appl 32(2):432–440 Google Scholar
  8. Trueblood MA, Coggins J (2003) Intercountry agricultural efficiency and productivity: A Malmquist index Approach. World Bank, Washington, D.CGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceAverett UniversityDanvilleUSA

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