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

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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Autores principales: de Sousa Mendes,Glauco Henrique, Miller Devós Ganga,Gilberto
Lenguaje:English
Publicado: Universidad Alberto Hurtado. Facultad de Economía y Negocios 2013
Materias:
new product development
applied statistics
logistic regression
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242013000400008
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