Identificação de fatores que influenciam na maturidade organizacional na GQT por meio da regressão linear múltipla

Abstract

Empirical research investigating the influence degree of success factors in the implementation and maturity of companies in Total Quality Management (TQM) may contribute to these organizations to define actions that circumvent the difficulties encountered during the implementation process. Within this line of research Bosi (2010), Oliveira (2010) and Rodrigues (2010) performed studies on the critical success factors of TQM in the scenario of processing industries in the state of Ceará. The work Bosi (2010), and in particular reference of this study determines the degree of maturity of the industry through the Item Response Theory (IRT). This paper deals with the analysis of related variables that can influence the degree of maturity of companies with respect to TQM. The related variables addressed in this study are: origin of the company, firm age, market performance of the company, company size, application program GQ and time of application of QA program. The goal of this research is therefore to identify a model that best represents the relationship between the variables correlated and the degree of maturity of companies with respect to TQM using multiple linear regression analysis, using the stepwise method. As a method of data collection are used secondary data from the works of the authors mentioned above and in particular the reference maturity of companies with respect to TQM was used the results of the work Bosi (2010). The theoretical framework is based on multiple linear regression analysis using the stepwise method and residue analysis used to diagnose the model. Through regression model selected, it was concluded that the variables Age related business and Application of TQM program are significant in explaining the degree of maturity of companies with respect to TQM, which is the best model indicated stepwise. However, this model was not effective because it was not satisfied the assumption of normality of the dependent variable.