Goodness of fit criteria
| B2B | Cronbach’s alpha | Composite reliability (rho_a) | Composite reliability (rho_c) | Average variance extracted (AVE) |
|---|---|---|---|---|
| AI fairness | 0.804 | 0.806 | 0.804 | 0.578 |
| Attitude toward AI | 0.912 | 0.920 | 0.913 | 0.727 |
| Benevolence | 0.837 | 0.842 | 0.837 | 0.632 |
| Performance of AI | 0.857 | 0.862 | 0.861 | 0.607 |
| Sense of control | 0.807 | 0.816 | 0.807 | 0.584 |
| Transparency of algorithm | 0.831 | 0.852 | 0.829 | 0.623 |
| B2B | Cronbach’s alpha | Composite reliability (rho_a) | Composite reliability (rho_c) | Average variance extracted ( |
|---|---|---|---|---|
| 0.804 | 0.806 | 0.804 | 0.578 | |
| Attitude toward | 0.912 | 0.920 | 0.913 | 0.727 |
| Benevolence | 0.837 | 0.842 | 0.837 | 0.632 |
| Performance of | 0.857 | 0.862 | 0.861 | 0.607 |
| Sense of control | 0.807 | 0.816 | 0.807 | 0.584 |
| Transparency of algorithm | 0.831 | 0.852 | 0.829 | 0.623 |
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