Best performance-best practice: the case of Italian manufacturing companies
Giuseppe Calabrese
L'industria, 2009, issue 2, 285-306
Abstract:
The aim of this paper is to analyse the best practices of a sample of manufacturing companies that have achieved lasting best performance in terms of solvency, growth and profitability. The paper analyses the correlation between size and qualitative-relational growth. Through cluster analysis, three groups of companies were defined with different levels of qualitative and relational contents. The cluster result is the dependent variable of an ordered logit regression, while the explanatory variables are performance and feature variables. The model confirms that size and growth in size significantly influence the probability of qualitative and relational contents in companies. Moreover, the results suggest that other relevant determinants are: management, location, export growth, type of make, and competitiveness factors. The research was funded by the Region of Piedmont and, consequently, focuses on the manufacturing companies located in this Italian region.
Keywords: Best Performance; Best Practice; Manufacturing Companies; Size Growth (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://www.rivisteweb.it/download/article/10.1430/29797 (application/pdf)
https://www.rivisteweb.it/doi/10.1430/29797 (text/html)
Access to full text is restricted to subscribers
Related works:
Journal Article: Best performance-best practices: the case of Italian manufacturing companies (2009) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mul:j0hje1:doi:10.1430/29797:y:2009:i:2:p:285-306
Access Statistics for this article
L'industria is currently edited by Patrizio Bianchi
More articles in L'industria from Società editrice il Mulino
Bibliographic data for series maintained by ().