Table 3 Model path analysis
From: Factors influencing adoption of e-learning in healthcare: integration of UTAUT and TTF model
The hypothesis | Path coefficient | P value | Support |
|---|---|---|---|
H1: technology characteristics affect task-technology fit | 0.652 | 0.000 | Yes |
H2: task characteristics affect task- technology fit | 0.525 | 0.000 | Yes |
H3: task technology fit affect Intention to adopt E-learning | 0.244 | 0.000 | Yes |
H4: social influences affect Intention to adopt E-learning | 0.262 | 0.000 | Yes |
H5: Effort expectancy affect Intention to adopt E-learning | 0.464 | 0.000 | Yes |
H6: performance expectancy affect Intention to adopt E-learning | 0.679 | 0.000 | Yes |
H7: facilitating condition affect intention to adopt E-learning | 0.423 | 0.000 | Yes |