Discriminant validity
| At | EB | GS | IN | FI | RG | VC | |
|---|---|---|---|---|---|---|---|
| Fornell–Larcker criterion | |||||||
| Attitude (AT) | 0.940 | ||||||
| Economic benefit (EB) | 0.599 | 0.936 | |||||
| Government support (GS) | 0.259 | 0.210 | 0.912 | ||||
| Innovativeness (IN) | 0.586 | 0.519 | 0.267 | 0.915 | |||
| Fintech intention (FI) | 0.646 | 0.490 | 0.287 | 0.560 | 0.967 | ||
| Regulation (RG) | 0.193 | 0.113 | 0.668 | 0.172 | 0.264 | 0.906 | |
| Value for change (VC) | 0.754 | 0.585 | 0.280 | 0.698 | 0.622 | 0.174 | 0.926 |
| Heterotrait-Monotrait ratio | |||||||
| Attitude (AT) | |||||||
| Economic benefit (EB) | 0.642 | ||||||
| Government support (GS) | 0.273 | 0.223 | |||||
| Innovativeness (IN) | 0.635 | 0.562 | 0.282 | ||||
| Fintech intention (FI) | 0.680 | 0.517 | 0.299 | 0.595 | |||
| Regulation (RG) | 0.203 | 0.119 | 0.714 | 0.182 | 0.274 | ||
| Value for Change (VC) | 0.811 | 0.632 | 0.300 | 0.765 | 0.659 | 0.184 | |
| At | EB | GS | IN | FI | RG | VC | |
|---|---|---|---|---|---|---|---|
| Attitude (AT) | |||||||
| Economic benefit (EB) | 0.599 | ||||||
| Government support (GS) | 0.259 | 0.210 | |||||
| Innovativeness (IN) | 0.586 | 0.519 | 0.267 | ||||
| Fintech intention (FI) | 0.646 | 0.490 | 0.287 | 0.560 | |||
| Regulation (RG) | 0.193 | 0.113 | 0.668 | 0.172 | 0.264 | ||
| Value for change (VC) | 0.754 | 0.585 | 0.280 | 0.698 | 0.622 | 0.174 | |
| Attitude (AT) | |||||||
| Economic benefit (EB) | 0.642 | ||||||
| Government support (GS) | 0.273 | 0.223 | |||||
| Innovativeness (IN) | 0.635 | 0.562 | 0.282 | ||||
| Fintech intention (FI) | 0.680 | 0.517 | 0.299 | 0.595 | |||
| Regulation (RG) | 0.203 | 0.119 | 0.714 | 0.182 | 0.274 | ||
| Value for Change (VC) | 0.811 | 0.632 | 0.300 | 0.765 | 0.659 | 0.184 | |
Note(s): The off-diagonal values (italic) in the above matrix are the square correlations between the latent constructs and diagonals are AVEs. HTMT<0.85
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