The relationship between statistical process control critical success factors and performance: A structural equation modeling approach

The purpose of this paper is to explore the relationships between statistical process control (SPC) critical success factors (CSF) and performance. Empirical data were collected from 326 responses from Malaysian automotive related companies using survey research methodology. Using exploratory and confirmatory factor analysis, six empirically validated latent constructs of SPC critical success factors and three empirically validated quality and firm performance constructs were identified. The structural equation modeling (SEM) techniques was employed to examine the relationship between these six SPC critical success factors and performance. The results show that that there is a positive relationship between these CSF and performance.