Coefficient of determination (R2), adjusted R2 and effect sizes (f2)
| Variables | R2 | R2 adjusted | F square |
|---|---|---|---|
| Sustainability development | 0.581 | 0.575 | |
| Collaborative partnership | 0.226 | 0.225 | 0.047 |
| Employee empowerment | 0.131 | 0.129 | 0.290 |
| Motivation to protection | 0.016 | 0.014 | 0.231 |
| Cultural context | 0.103 | ||
| AI adoption | 0.030 | ||
| Regulatory framework | 0.057 | ||
| Cultural context x AI adoption | 0.002 | ||
| Regulatory framework x AI adoption | 0.022 |
| Variables | |||
|---|---|---|---|
| Sustainability development | 0.581 | 0.575 | |
| Collaborative partnership | 0.226 | 0.225 | 0.047 |
| Employee empowerment | 0.131 | 0.129 | 0.290 |
| Motivation to protection | 0.016 | 0.014 | 0.231 |
| Cultural context | 0.103 | ||
| 0.030 | |||
| Regulatory framework | 0.057 | ||
| Cultural context x | 0.002 | ||
| Regulatory framework x | 0.022 |
The R2 and adjusted R2 values assess the proportion of variance explained by the predictors in each endogenous variable. According to Hair et al. (2019), R2 values of 0.25, 0.50 and 0.75 represent weak, moderate and substantial levels of predictive accuracy, respectively. Cohen’s f2 values determine the size of each exogenous variable’s effect, with values of 0.02, 0.15 and 0.35 interpreted as small, medium and large effects (Cohen, 1988)
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