Reliability and convergent validity
| Constructs | Items | Factor loading (FL) | Cronbach's alpha (CA) | Composite reliability (CR) | Average variance extracted (AV) |
|---|---|---|---|---|---|
| Available resources (AR) | AR1 | 0.970 | 0.933 | 0.952 | 0.833 |
| AR2 | 0.892 | ||||
| AR3 | 0.948 | ||||
| AR4 | 0.833 | ||||
| Decision-making effectiveness (DME) | DME1 | 0.850 | 0.838 | 0.892 | 0.674 |
| DME2 | 0.876 | ||||
| DME3 | 0.731 | ||||
| DME4 | 0.820 | ||||
| GenAI ease of use (EOU) | EOU1 | 0.865 | 0.879 | 0.915 | 0.729 |
| EOU2 | 0.874 | ||||
| EOU3 | 0.851 | ||||
| EOU4 | 0.825 | ||||
| Ethical use of GenAI (EUG) | EUG1 | 0.908 | 0.949 | 0.963 | 0.866 |
| EUG2 | 0.932 | ||||
| EUG3 | 0.935 | ||||
| EUG4 | 0.948 | ||||
| GenAI expectation confirmation (GEC) | GEC1 | 0.790 | 0.795 | 0.879 | 0.709 |
| GEC2 | 0.881 | ||||
| GEC3 | 0.852 | ||||
| Job satisfaction (JS) | JS1 | 0.967 | 0.930 | 0.950 | 0.828 |
| JS2 | 0.834 | ||||
| JS3 | 0.946 | ||||
| JS4 | 0.887 | ||||
| Perceived GenAI value (PGV) | PGV1 | 0.934 | 0.924 | 0.946 | 0.815 |
| PGV2 | 0.843 | ||||
| PGV3 | 0.897 | ||||
| PGV4 | 0.934 | ||||
| Social influence (SI) | SI1 | 0.926 | 0.846 | 0.896 | 0.685 |
| SI2 | 0.757 | ||||
| SI3 | 0.858 | ||||
| SI4 | 0.755 | ||||
| Security and privacy (SP) | SP1 | 0.911 | 0.881 | 0.926 | 0.808 |
| SP2 | 0.911 | ||||
| SP3 | 0.873 | ||||
| Work quality (WQ) | WQ1 | 0.909 | 0.897 | 0.928 | 0.765 |
| WQ2 | 0.786 | ||||
| WQ3 | 0.865 | ||||
| WQ4 | 0.930 |
| Constructs | Items | Factor loading (FL) | Cronbach's alpha (CA) | Composite reliability (CR) | Average variance extracted (AV) |
|---|---|---|---|---|---|
| Available resources (AR) | AR1 | 0.970 | 0.933 | 0.952 | 0.833 |
| AR2 | 0.892 | ||||
| AR3 | 0.948 | ||||
| AR4 | 0.833 | ||||
| Decision-making effectiveness (DME) | DME1 | 0.850 | 0.838 | 0.892 | 0.674 |
| DME2 | 0.876 | ||||
| DME3 | 0.731 | ||||
| DME4 | 0.820 | ||||
| GenAI ease of use (EOU) | EOU1 | 0.865 | 0.879 | 0.915 | 0.729 |
| EOU2 | 0.874 | ||||
| EOU3 | 0.851 | ||||
| EOU4 | 0.825 | ||||
| Ethical use of GenAI (EUG) | EUG1 | 0.908 | 0.949 | 0.963 | 0.866 |
| EUG2 | 0.932 | ||||
| EUG3 | 0.935 | ||||
| EUG4 | 0.948 | ||||
| GenAI expectation confirmation (GEC) | GEC1 | 0.790 | 0.795 | 0.879 | 0.709 |
| GEC2 | 0.881 | ||||
| GEC3 | 0.852 | ||||
| Job satisfaction (JS) | JS1 | 0.967 | 0.930 | 0.950 | 0.828 |
| JS2 | 0.834 | ||||
| JS3 | 0.946 | ||||
| JS4 | 0.887 | ||||
| Perceived GenAI value (PGV) | PGV1 | 0.934 | 0.924 | 0.946 | 0.815 |
| PGV2 | 0.843 | ||||
| PGV3 | 0.897 | ||||
| PGV4 | 0.934 | ||||
| Social influence (SI) | SI1 | 0.926 | 0.846 | 0.896 | 0.685 |
| SI2 | 0.757 | ||||
| SI3 | 0.858 | ||||
| SI4 | 0.755 | ||||
| Security and privacy (SP) | SP1 | 0.911 | 0.881 | 0.926 | 0.808 |
| SP2 | 0.911 | ||||
| SP3 | 0.873 | ||||
| Work quality (WQ) | WQ1 | 0.909 | 0.897 | 0.928 | 0.765 |
| WQ2 | 0.786 | ||||
| WQ3 | 0.865 | ||||
| WQ4 | 0.930 |
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