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“…The present study's hypotheses were empirically tested through the widely-applied covariance-based structural equation modeling (CB-SEM) technique, coupled with Mplus, i.e., a fully-integrated modeling program offering more robust SEM estimations in contrast to other competing and commonly used software (e.g., LISREL, EQS, and AMOS, etc.) [111][112][113]. The data analysis procedures involved statistical estimations in three stages, including: (1) normal distribution testing (using skewness and kurtosis values), (2) measurement model testing (using reliability and validity assessments to ensure the scale's psychometric properties, and exploratory and confirmatory factor analysis to ensure adequate factorialstructure design and model fitness), and (3) structural model testing (using a bootstrapping procedure to ascertain path-coefficients, t-statistics and p-values) [111,113].…”

“…[111][112][113]. The data analysis procedures involved statistical estimations in three stages, including: (1) normal distribution testing (using skewness and kurtosis values), (2) measurement model testing (using reliability and validity assessments to ensure the scale's psychometric properties, and exploratory and confirmatory factor analysis to ensure adequate factorialstructure design and model fitness), and (3) structural model testing (using a bootstrapping procedure to ascertain path-coefficients, t-statistics and p-values) [111,113].…”

“…The kurtosis values were also within the acceptance level of "−3 and +3". Consequently, all of the latent constructs included in the study were deemed to satisfy the normality assumptions of the structural equation modeling [111][112][113]. The statistical estimations (as reported in Table 3) determined the common method bias (CMB) using the widely employed Harman's single factor test.…”

“…Furthermore, Table 4 provides the composite reliability (CR) and average variance extracted (AVE) values of the latent constructs used in the present study. Because the AVE values were higher than the cut-off value of 0.5, and the CR values were far above the minimum acceptance value of 0.6, each construct employed in the study was also deemed to successfully achieve convergent validity [111,113].…”

“…The non-existent multicollinearity among latent constructs is considered to be necessary to ensure the accuracy of SEM results [111][112][113]. In order to ascertain the multicollinearity issues (if any), the AVE square root values were compared with the measurement error-adjusted inter-construct correlations, as illustrated in Table 5.…”