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A Hybrid DEA-/DM-Based DSS for Productivity-Driven Environments

  • Sergey Samoilenko
  • Kweku-Muata Osei-Bryson
Chapter
Part of the Integrated Series in Information Systems book series (ISIS, volume 34)

Abstract

This chapter begins with the overview of the challenges facing organizations competing in dynamic business environments and the associated demands placed on organizational DSS. The overview of the design of DSS starts with an outline of the capabilities that combination of such various methods as data envelopment analysis (DEA), cluster analysis (CA), decision tree (DT), neural networks (NN), and multivariate regression (MR) offer to a decision maker.

Keywords

Decision Maker Data Envelopment Analysis Business Process Decision Support System Relative Efficiency 
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.

Notes

Acknowledgments

Material in this chapter previously appeared in: “Using Data Envelopment Analysis (DEA) for Monitoring Efficiency-Based Performance of Productivity-Driven Organizations: Design and Implementation of a Decision Support System,” Omega 41:1, 131–142 (2013).

Reference

  1. Piatkowski M (2003) Does ICT investment matter for output growth and labor productivity in transition economies? TIGER working paper series, No. 47., available on line at www.tiger.edu.pl

Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  1. 1.Averett UniversityDepartment of Computer ScienceDanvilleUSA
  2. 2.Virginia Commonwealth UniversityDepartment of Information SystemsRichmondUSA

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