Croissance, innovation et gestion dans les petites et moyennes entreprises industrielles du Nord-Ouest de l'Argentine: un modèle relationnel quantitatif

Abstract : This PhD exploratory research aims to better understand the link between the economic growth and the innovation capacity of small and medium companies (SME) of the north west of Argentina (Sánchez et al, 2011). The objective is to objectivate the impact of the newness of the products on performances thanks to a top down type research approach. In order to take innovation capacity of the companies into account, the Boly et al (2000) method is used: it allows the calculation of a potential innovation index specific to the company. This index is then compared to others descriptive variables of the growth trends of the companies (O’Regan et al, 2006). The functioning mode of each studied SME is described thanks an activity based model. These activities are linked with the evaluation of the acceptability of the company’s products on the market. Thus acceptability is used as the main criteria to assess SME’s performance (Pantano et Di Pietro, 2012). Then, data about the evolution of the environment are integrated to the approach in order to consider external variables influencing the industrial performances (Porter M. E., 2008). Methodologies developed during the research are: multicriteria methods to calculate the potential innovation index (Camargo et al, 2007). A mathematic linear regression model is developed to represent the growth evolution of each company. Cluster analysis and principal component analysis are also used. Experimental data are collected in companies in the North West of Argentina through maturity grids (Maier et al, 2012). Data about management practices and performance variables are collected simultaneously. Finally the external variables are described thanks and experts enquiry
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Julio César Rodríguez Rey. Croissance, innovation et gestion dans les petites et moyennes entreprises industrielles du Nord-Ouest de l'Argentine: un modèle relationnel quantitatif. Gestion et management. Université de Lorraine, 2014. Français. ⟨NNT : 2014LORR0058⟩. ⟨tel-01750766⟩

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