DEA — DATA ENVELOPMENT ANALYSIS: MODELS, METHODS AND APPLICATIONS

Alex Manzoni and Sardar M.N. Islam
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Alex Manzoni: CSES/Victoria Graduate School of Business, Victoria University, 300 Flinders St, MELBOURNE VIC 3000, Australia
Sardar M.N. Islam: Centre for Strategic Economic Studies, Victoria University, 300 Flinders St, MELBOURNE VIC 3000, Australia

Chapter 4 in Quantitative Modelling in Marketing and Management, 2012, pp 79-89 from World Scientific Publishing Co. Pte. Ltd.

Abstract: AbstractData employment analysis is a non-parametric optimisation technique for the assessment of productivity when expressed as an input–output ratio. Decision making units (DMU) are established as discrete units of observation located on or near the piecewise frontier. Each DMU is measured as virtual input–virtual output calculation of efficiency. The study needs many DMUs so that the model can discriminate between them and assign the best rating of 100%. This is the benchmark against which all the others are ranked. Variations to the model are possible. These include constant increasing and decreasing returns to scale. There are a number of strenghts to this model with the absence of the need for an absolute efficiency as the theoretical maximum to compare against. It has been widely applied and can be partnered with other quantitative techniques.

Keywords: Quantitative Modelling; Statistical; Computer; Marketing; Neural Networks; Fuzzy Logic; k-Clique Model; Meta-heuristics (search for similar items in EconPapers)
Date: 2012
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