Table 2.
Regression analysis.
| Unstandardized Estimates |
Standard Error |
Standardized Estimates |
t | Collinearity Statistics |
||
|---|---|---|---|---|---|---|
| B | SE | ß | Tol | VIF | ||
| Intercept | 1.2 | .14 | .31 | 8.6∗ | ||
| Perceived Usefulness (PU) | .31 | .02 | .09 | 13.1∗ | .77 | 1.2 |
| Perceived Ease of Use (PEU) | .08 | .03 | .09 | 2.9∗ | .40 | 2.4 |
| Embedded Technology Self-Efficacy (ETSE) | .39 | .03 | .38 | 11.2∗ | .38 | 2.6 |
| Age | -.006 | .001 | -.092 | -4.3∗ | .97 | 1.0 |
| Perceived Risk (PR) | -.146 | .033 | -.133 | -4.4∗ | .49 | 2.0 |
| Privacy Concerns (PC) | -.076 | .032 | -.071 | -2.3∗ | .49 | 2.0 |
| R2 | .533 | |||||
| Adjusted R2 | .530 | |||||
∗p < .001.
Notes: Dependent variable is attitude; predictors are Perceived Usefulness (PU), Perceived Ease of Use (PEU), Embedded Technology Self-Efficacy (ETSE), Age, Perceived Risk (PR), and Privacy Concerns (PC).