Predicting Success in Product Development: The Application of Principal Component Analysis to Categorical Data and Binomial Logistic Regression

Critical success factors in new product development (NPD) in the Brazilian small and medium enterprises (SMEs) are identified and analyzed. Critical success factors are best practices that can be used to improve NPD management and performance in a company. However, the traditional method for identif...

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Auteurs principaux: de Sousa Mendes,Glauco Henrique, Miller Devós Ganga,Gilberto
Langue:English
Publié: Universidad Alberto Hurtado. Facultad de Economía y Negocios 2013
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Accès en ligne:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242013000400008
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