After a good measurement model was obtained (model fit, reliability and validity), a structural model was developed and SEM was carried out. SEM is defined as ‘multivariate technique combining aspects of factor analysis and multiple regression that enables the researcher to simultaneously examine a series of interrelated dependence relationships among the measured variables and latent constructs as well as between several latent constructs’ (Hair et al., 2010, p. 634). SEM is used in this research because it is ‘not only assessing each of the relationships simultaneously rather than in separate analysis, but also incorporating the multi-item scales in the analysis to account for measurement error associated with each of the scales’ (Hair et al., 2010, p. 20).