**5. Results**

For the analysis and interpretation of the results and the testing of the proposed hypotheses, the method of partial least squares structural equation modeling (PLS-SEM) was applied, since it has already been used in a large number of similar studies [16, 35, 56, 67]. The method was performed using the SmartPLS 3 software [68]. There are several reasons for choosing PLS-SEM as an analysis method: it works effectively with small samples as well as with complex models and can be applied in a large number of different research situations [69]. The advantage of the PLS approach compared to multiple regression analysis is that the PLS approach considers the entire conceptual model and shows the effects of all related constructs that can be influenced by the regression [35]. Another advantage is that with the PLS-SEM method, there are no assumptions about data distribution [70].
