Table 2.
GLM Coefficients.
| Variables | Estimate | Std. Error | t-value | Pr(>|t|) |
|---|---|---|---|---|
| (Intercept) | 0.47788 | 0.15245 | 3.135 | 0.001853** |
| Computer self-efficacy | 0.21302 | 0.05540 | 3.845 | 0.000141*** |
| Organizational support | 0.12409 | 0.04940 | 2.512 | 0.012410* |
| Complexity | −0.08023 | 0.05091 | −1.576 | 0.115908 |
| Compatibility | −0.18002 | 0.04925 | −3.655 | 0.000293*** |
| Perceived usefulness | −0.16302 | 0.06515 | −2.502 | 0.012762* |
| Perceived ease of use | 0.27793 | 0.06539 | 4.250 | 2.68e-05*** |
| Performance expectancy | 0.01394 | 0.05146 | 0.271 | 0.786627 |
| Facilitating conditions | 0.39176 | 0.05291 | 7.405 | 8.42e-13*** |
| Security | 0.11531 | 0.04334 | 2.661 | 0.008125** |
| Relative advantage | 0.11713 | 0.05457 | 2.146 | 0.032474* |
| Deviance residuals: | ||||
| Min | 1Q | Median | 3Q | Max |
| −2.32745 | −0.30272 | −0.03011 | 0.27015 | 1.80280 |
| Dispersion parameter for Gaussian family taken to be | : 0.2939605 | |||
| Null deviance | : 324.54 on 393 degrees of freedom | |||
| Residual deviance | : 112.59 on 383 degrees of freedom | |||
| AIC | : 648.59 | |||
| Number of Fisher Scoring iterations | : 2 | |||
| RMSE | : 0. 29 | |||
Signif. Codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘’ 1.