Multidimensional Measures of Firm Competitiveness: a Model-Based Approach


Autoria(s): Donno, Annalisa
Contribuinte(s)

Bernardini Papalia, Rosa

Data(s)

12/02/2013

Resumo

The concept of competitiveness, for a long time considered as strictly connected to economic and financial performances, evolved, above all in recent years, toward new, wider interpretations disclosing its multidimensional nature. The shift to a multidimensional view of the phenomenon has excited an intense debate involving theoretical reflections on the features characterizing it, as well as methodological considerations on its assessment and measurement. The present research has a twofold objective: going in depth with the study of tangible and intangible aspect characterizing multidimensional competitive phenomena by assuming a micro-level point of view, and measuring competitiveness through a model-based approach. Specifically, we propose a non-parametric approach to Structural Equation Models techniques for the computation of multidimensional composite measures. Structural Equation Models tools will be used for the development of the empirical application on the italian case: a model based micro-level competitiveness indicator for the measurement of the phenomenon on a large sample of Italian small and medium enterprises will be constructed.

Formato

application/pdf

Identificador

http://amsdottorato.unibo.it/5173/1/donno_annalisa_tesi.pdf

urn:nbn:it:unibo-10212

Donno, Annalisa (2013) Multidimensional Measures of Firm Competitiveness: a Model-Based Approach, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Metodologia statistica per la ricerca scientifica <http://amsdottorato.unibo.it/view/dottorati/DOT276/>, 25 Ciclo. DOI 10.6092/unibo/amsdottorato/5173.

Idioma(s)

en

Publicador

Alma Mater Studiorum - Università di Bologna

Relação

http://amsdottorato.unibo.it/5173/

Direitos

info:eu-repo/semantics/openAccess

Palavras-Chave #SECS-S/03 Statistica economica
Tipo

Tesi di dottorato

NonPeerReviewed