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.
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Reference
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
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).
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Samoilenko, S., Osei-Bryson, KM. (2014). A Hybrid DEA-/DM-Based DSS for Productivity-Driven Environments. In: Osei-Bryson, KM., Ngwenyama, O. (eds) Advances in Research Methods for Information Systems Research. Integrated Series in Information Systems, vol 34. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-9463-8_13
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DOI: https://doi.org/10.1007/978-1-4614-9463-8_13
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