Assessing Organizations’ Efficiency Adopting Complementary Perspectives: An Empirical Analysis Through Data Envelopment Analysis and Multidimensional Scaling, with an Application to Higher Education

Eva M. Torre (), Marti Sagarra () and Tommaso Agasisti ()
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Eva M. Torre: Universidad Autónoma de Madrid
Marti Sagarra: Universitat de Girona
Tommaso Agasisti: School of Management, Politecnico di Milano

Chapter Chapter 6 in Handbook of Operations Analytics Using Data Envelopment Analysis, 2016, pp 145-166 from Springer

Abstract: Abstract In this chapter we integrate Data Envelopment Analysis (DEA) and Multidimensional Scaling (MDS) with the aim to discuss the potential complementarities and advantages of combining both methodologies in order to reveal the efficiency framework and strategies of organisations. To do so we use the example of the Spanish HE system. MDS empowers efficiency analysis, by means of defining areas through which universities and their ratios and efficiency indicators can be grouped and clustered, contributing to the understanding of those potential factors that are behind efficiency—and helping in explaining it. In this sense, MDS sheds light on the ‘process’ that leads to higher/lower levels of efficiency, conditional to universities’ characteristics. We complete the study with a discussion of efficiency in three institutions.

Keywords: Performance evaluation; Benchmarking; Efficiency; Data Envelopment Analysis (DEA); Multidimensional Scaling (MDS); Higher education (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/978-1-4899-7705-2_6

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