MGA analysis
| Path coefficients | Difference of path coefficients | ||
|---|---|---|---|
| Experienced users | Users with little experience | ||
| Content appeal → Informative social influence | 0.439*** | 0.363*** | 0.076 |
| Content appeal → Normative social influence | 0.276*** | 0.264*** | 0.012 |
| Co-viewer participation → Informative social influence | 0.204*** | 0.193*** | 0.011 |
| Co-viewer participation → Normative social influence | 0.255*** | 0.262*** | −0.007 |
| Informative social influence → Continuous intention | 0.464*** | 0.247*** | 0.217*** |
| Normative social influence → Continuous intention | 0.269*** | 0.558*** | −0.29*** |
| Platform reputation → Informative social influence | −0.022 | 0.152 | −0.173 |
| Platform reputation → Normative social influence | 0.057 | 0.100 | −0.043 |
| TikToker attractiveness → Informative social influence | 0.016 | 0.086 | −0.070 |
| TikToker attractiveness → Normative social influence | 0.149** | 0.252*** | −0.103 |
| Path coefficients | Difference of path coefficients | ||
|---|---|---|---|
| Experienced users | Users with little experience | ||
| Content appeal → Informative social influence | 0.439*** | 0.363*** | 0.076 |
| Content appeal → Normative social influence | 0.276*** | 0.264*** | 0.012 |
| Co-viewer participation → Informative social influence | 0.204*** | 0.193*** | 0.011 |
| Co-viewer participation → Normative social influence | 0.255*** | 0.262*** | −0.007 |
| Informative social influence → Continuous intention | 0.464*** | 0.247*** | 0.217*** |
| Normative social influence → Continuous intention | 0.269*** | 0.558*** | −0.29*** |
| Platform reputation → Informative social influence | −0.022 | 0.152 | −0.173 |
| Platform reputation → Normative social influence | 0.057 | 0.100 | −0.043 |
| TikToker attractiveness → Informative social influence | 0.016 | 0.086 | −0.070 |
| TikToker attractiveness → Normative social influence | 0.149** | 0.252*** | −0.103 |
Note(s): *** is significant at p < 0.001
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