From: Big data analytics: does organizational factor matters impact technology acceptance?
Latent variable | Item | Estimate | Std. error | t-value | R2 |
---|---|---|---|---|---|
Intended usage of technology (CRÂ =Â 0.94; AVEÂ =Â 0.80) | tamUse1 | 1.690 | 0.075 | 22.470* | 0.837 |
tamUse2 | 1.799 | 0.073 | 24.562* | 0.926 | |
tamUse3 | 1.475 | 0.084 | 17.657* | 0.618 | |
tamUse5 | 1.676 | 0.077 | 21.744* | 0.806 | |
Perceived ease of use (CRÂ =Â 0.90; AVEÂ =Â 0.69) | tamPeou2 | 0.953 | 0.056 | 17.032* | 0.605 |
tamPeou3 | 1.059 | 0.051 | 20.591* | 0.777 | |
tamPeou4 | 0.989 | 0.049 | 20.325* | 0.764 | |
tamPeou5 | 0.904 | 0.053 | 17.151* | 0.611 | |
Perceived usefulness (CRÂ =Â 0.96; AVEÂ =Â 0.85) | tamPu2 | 1.433 | 0.061 | 23.611* | 0.882 |
tamPu3 | 1.443 | 0.060 | 24.005* | 0.899 | |
tamPu4 | 1.383 | 0.058 | 23.638* | 0.883 | |
tamPu6 | 1.192 | 0.060 | 19.969* | 0.724 |