Results of the hierarchical regression analysis
| Variable | Innovative work behavior | |||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| β (SE) | β (SE) | β (SE) | β (SE) | β (SE) | β (SE) | |
| Gender | 0.073 (0.052) | 0.087* (0.044) | 0.083** (0.039) | 0.085** (0.039) | 0.092** (0.038) | 0.093** (0.038) |
| Age | −0.018 (0.034) | 0.049 (0.029) | 0.011 (0.026) | 0.014 (0.026) | 0.006 (0.025) | 0.008 (0.025) |
| Education | 0.074 (0.035) | 0.025 (0.030) | 0.005 (0.027) | 0.010 (0.026) | 0.012 (0.026) | 0.016 (0.026) |
| Job Position | 0.041 (0.034) | 0.041 (0.028) | 0.036 (0.025) | 0.038 (0.025) | 0.036 (0.025) | 0.038 (0.025) |
| Tenure | −0.007 (0.023) | 0.001 (0.019) | −0.046 (0.017) | −0.049 (0.017) | −0.035 (0.017) | −0.038 (0.017) |
| Experience | 0.264*** (0.052) | 0.158*** (0.045) | 0.121*** (0.041) | 0.115*** (0.041) | 0.140*** (0.039) | 0.128*** (0.040) |
| AIL | 0.526*** (0.043) | 0.302*** (0.045) | 0.313*** (0.045) | 0.143*** (0.051) | 0.154*** (0.051) | |
| OE | 0.439*** (0.040) | 0.433*** (0.040) | ||||
| AIL x OE | 0.083** (0.056) | |||||
| MC | 0.559*** (0.057) | 0.558*** (0.057) | ||||
| AIL x MC | 0.086** (0.065) | |||||
| R2 | 0.086 | 0.343 | 0.476 | 0.483 | 0.504 | 0.512 |
| ΔR2 | 0.086 | 0.257 | 0.133 | 0.007 | 0.161 | 0.007 |
| F | 9.252*** | 44.161*** | 67.140*** | 61.201*** | 75.201*** | 68.684*** |
| Variable | Innovative work behavior | |||||
|---|---|---|---|---|---|---|
| Model 1 | Model 2 | Model 3 | Model 4 | Model 5 | Model 6 | |
| Gender | 0.073 (0.052) | 0.087* (0.044) | 0.083** (0.039) | 0.085** (0.039) | 0.092** (0.038) | 0.093** (0.038) |
| Age | −0.018 (0.034) | 0.049 (0.029) | 0.011 (0.026) | 0.014 (0.026) | 0.006 (0.025) | 0.008 (0.025) |
| Education | 0.074 (0.035) | 0.025 (0.030) | 0.005 (0.027) | 0.010 (0.026) | 0.012 (0.026) | 0.016 (0.026) |
| Job Position | 0.041 (0.034) | 0.041 (0.028) | 0.036 (0.025) | 0.038 (0.025) | 0.036 (0.025) | 0.038 (0.025) |
| Tenure | −0.007 (0.023) | 0.001 (0.019) | −0.046 (0.017) | −0.049 (0.017) | −0.035 (0.017) | −0.038 (0.017) |
| Experience | 0.264*** (0.052) | 0.158*** (0.045) | 0.121*** (0.041) | 0.115*** (0.041) | 0.140*** (0.039) | 0.128*** (0.040) |
| AIL | 0.526*** (0.043) | 0.302*** (0.045) | 0.313*** (0.045) | 0.143*** (0.051) | 0.154*** (0.051) | |
| OE | 0.439*** (0.040) | 0.433*** (0.040) | ||||
| AIL x OE | 0.083** (0.056) | |||||
| MC | 0.559*** (0.057) | 0.558*** (0.057) | ||||
| AIL x MC | 0.086** (0.065) | |||||
| 0.086 | 0.343 | 0.476 | 0.483 | 0.504 | 0.512 | |
| Δ | 0.086 | 0.257 | 0.133 | 0.007 | 0.161 | 0.007 |
| F | 9.252*** | 44.161*** | 67.140*** | 61.201*** | 75.201*** | 68.684*** |
Note(s): n = 621; *p < 0.05, **p < 0.01, ***p < 0.001; Experience = Experience of AI related training, AIL = AI Literacy, IB=Innovative Behavior, OE=Occupational Expertise, MC = Metacognition
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