TABLE 3.
Results of hierarchical multiple regression.
| Variables | Consumer trust |
Purchase intention |
||||
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| Control variables | ||||||
| Gender | –0.07 | –0.08 | –0.06 | −0.14* | −0.15* | −0.12* |
| Age | –0.07 | –0.10 | –0.11 | –0.11 | –0.11 | –0.08 |
| Salary | –0.04 | –0.02 | –0.02 | –0.04 | –0.09 | –0.06 |
| Education | –0.05 | –0.06 | –0.04 | −0.13* | −0.16* | −0.13* |
| Independent variable | ||||||
| Broadcaster expertise | 0.22** | 0.26** | 0.20** | 0.14* | ||
| Mediator | ||||||
| Consumer trust | 0.40** | |||||
| Moderator | ||||||
| Platform reputation | 0.31** | 0.25** | ||||
| Interaction | ||||||
| Broadcaster expertise × consumer trust | 0.23** | |||||
|
| ||||||
| R 2 | 0.01 | 0.12 | 0.16 | 0.04 | 0.08 | 0.23 |
| ΔF | 0.62 | 15.01 | 13.01 | 2.53 | 10.00 | 48.62 |
N = 261.
*p < 0.05; **p < 0.01.
The regression coefficients in the table are all standardized regression coefficients.