Direct effect, indirect effect and total effect
| IVs | Fintech usage | Income levels | ||
|---|---|---|---|---|
| Direct effect | Direct effect | Indirect effect via fintech usage | Total effects | |
| (1) | (2) | (3) | (4) | |
| Financial literacy | 0.073*** | 0.067*** | 0.004*** | 0.071*** |
| Gender (Male = 1) | 0.073 | −0.003 | 0.004 | 0.001 |
| Age | −0.008 | 0.052 | 0.0001 | 0.052 |
| Education | −0.114 | 0.154* | −0.006 | 0.148 |
| Marital status (Married = 1) | −0.248* | −0.026 | −0.014* | −0.040 |
| Work experience | 0.210*** | 0.077* | 0.012*** | 0.089*** |
| Explorer traits | 0.243*** | 0.045*** | 0.014*** | 0.059*** |
| Fintech usage | n/a | 0.056** | n/a | 0.056** |
| IVs | Fintech usage | Income levels | ||
|---|---|---|---|---|
| Direct effect | Direct effect | Indirect effect via fintech usage | Total effects | |
| (1) | (2) | (3) | (4) | |
| Financial literacy | 0.073*** | 0.067*** | 0.004*** | 0.071*** |
| Gender (Male = 1) | 0.073 | −0.003 | 0.004 | 0.001 |
| Age | −0.008 | 0.052 | 0.0001 | 0.052 |
| Education | −0.114 | 0.154* | −0.006 | 0.148 |
| Marital status (Married = 1) | −0.248* | −0.026 | −0.014* | −0.040 |
| Work experience | 0.210*** | 0.077* | 0.012*** | 0.089*** |
| Explorer traits | 0.243*** | 0.045*** | 0.014*** | 0.059*** |
| Fintech usage | n/a | 0.056** | n/a | 0.056** |
Note(s): ***: p < 1%; **: p < 5%, *: p < 10%. Dependent variables: Fintech usage and Income levels. All coefficients are based on SEM. n/a: not applicable
Source(s): Authors’ own work