Fig 1.
Research model and hypotheses.
Fig 2.
The general process of data analysis.
Table 1.
Cluster means and ranking.
Table 2.
Goodness of model fit.
Table 3.
Discriminant validity—Cross loadings (loadings and weights).
Table 4.
Construct coefficients.
Table 5.
Construct discriminant validity—Fornell-Larcker criterion.
Table 6.
Construct discriminant validity—Heterotrait-Monotrait Ratio.
Table 7.
Correlations.
Table 8.
VIF and weight of indicators of the composite construct.
Fig 3.
PLS results of the global model.
Table 9.
Path coefficients of global model.
Fig 4.
Pathmox tree.
Table 10.
Path coefficients for each group.
Table 11.
Path coefficients’ differences and significance levels.