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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Bibliographic Details
Main Authors: Glauco H.S. Mendes, Gilberto Miller Devós Ganga
Format: Article
Language:English
Published: Universidad Alberto Hurtado 2013-09-01
Series:Journal of Technology Management & Innovation
Subjects:
Online Access:https://www.jotmi.org/index.php/GT/article/view/1094