Workshop on “Multidimensional Scaling and Data Envelopment Analysis: methods and applications”

20-21 July 2016, Workshop on “”Multidimensional Scaling e Data Envelopment Analysis: methods and applications”, organized by CAPP- UniMORE
Dipartimento di Economia Marco Biagi, University of Modena and Reggio Emilia, Italy
Venue: aula seminari, 1° piano ala ovest, viale Berengario 51, Modena

Program 

10-11 seminar by Eva M. de la Torre (Madrid Univ.), Marti Sagarra (Girona Univ.)
Assessing organizations’ efficiency adopting complementary perspectives – an empirical analysis through Data Envelopment Analysis and Multidimensional Scaling, with an application to Higher Education

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 institutional strategies 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.
*de la Torre, Eva M., Marti Sagarra, e Tommaso Agasisti. «Assessing Organizations’ Efficiency Adopting Complementary Perspectives: An Empirical Analysis Through Data Envelopment Analysis and Multidimensional Scaling, with an Application to Higher Education». In Handbook of Operations Analytics Using Data Envelopment Analysis, a cura di Shiuh-Nan Hwang, Hsuan-Shih Lee, e Joe Zhu, 239:145–66. Boston, MA: Springer US, 2016. DOI: 10.1007/978-1-4899-7705-2_6

11-12 talk by Margherita Russo, Annalisa Caloffi, Riccardo Righi and Federica Rossi  (research group on regional innovation policy)

Research questions and data

lunch break

14-16 Marti Sagarra (Girona Univ.)
Multidimensional Scaling

Introduction to MDS
How to implement MDS with SPSS: tutoria
Hints on complementary techniques: cluster, property fitting, logit, path (evolution) for a single observation, etc.

July 21st

10-12 and 14-16: research group meetings on implementing MDS on data (poli.in, energie, …)
Participants:  Annalisa Caloffi, Eva M. de la Torre, Francesco Pagliacci Riccardo Righi, Simone Righi, Federica Rossi, Margherita Russo, Marti Sagarra
[details to be confirmed by contacting Margherita Russo]