Structural model results
| Structural relations | Hypothesis | Effect size (f²) | Path coefficient | Standard error | t-value | p-value | Q² predict | R² ajust. |
|---|---|---|---|---|---|---|---|---|
| PAC-ind → RAC-ind | H1(+) | 0.558 | 0.631 | 0.063 | 9.89 | 0.000 | 0.078 | 0.436 |
| Educa → RAC-ind | H4a(+) | 0.004 | 0.046 | 0.071 | 0.64 | 0.520 | ||
| Work Exp → RAC-ind | H4b(+) | 0.000 | 0.014 | 0.071 | 0.19 | 0.845 | ||
| Life Exp → RAC-ind | H4c(+) | 0.001 | −0.025 | 0.072 | 0.34 | 0.730 | ||
| IM → RAC-ind | H7(+) | 0.009 | 0.080 | 0.071 | 1.12 | 0.260 | ||
| Educa → PAC-ind | H3a(+) | 0.024 | 0.139 | 0.070 | 1.97 | 0.047 | 0.177 | 0.214 |
| Work Exp → PAC-ind | H3b(+) | 0.022 | 0.143 | 0.070 | 2.03 | 0.041 | ||
| Life Exp → PAC-ind | H3c(+) | 0.041 | 0.191 | 0.069 | 2.74 | 0.006 | ||
| IM →PAC-ind | H6(+) | 0.072 | 0.259 | 0.068 | 3.77 | 0.000 | ||
| Educa → IBW | H5a(+) | 0.002 | −0.036 | 0.072 | 0.49 | 0.620 | 0.181 | 0.503 |
| Work Exp → IBW | H5b(+) | 0.008 | 0.067 | 0.071 | 0.94 | 0.346 | ||
| Life Exp → IBW | H5c(+) | 0.023 | 0.114 | 0.070 | 1.61 | 0.106 | ||
| RAC-ind → IBW | H2(+) | 0.751 | 0.638 | 0.063 | 10.0 | 0.000 | ||
| AW*CAR-ind → IBW | H9(+) | 0.075 | 0.193 | 0.069 | 2.77 | 0.005 | ||
| AW → IM | H8(+) | 0.137 | 0.347 | 0.067 | 5.14 | 0.000 | – | 0.116 |
| Structural relations | Hypothesis | Effect | Path | Standard | ||||
|---|---|---|---|---|---|---|---|---|
| PAC-ind → RAC-ind | 0.558 | 0.631 | 0.063 | 9.89 | 0.000 | 0.078 | 0.436 | |
| Educa → RAC-ind | 0.004 | 0.046 | 0.071 | 0.64 | 0.520 | |||
| Work Exp → RAC-ind | 0.000 | 0.014 | 0.071 | 0.19 | 0.845 | |||
| Life Exp → RAC-ind | 0.001 | −0.025 | 0.072 | 0.34 | 0.730 | |||
| IM → RAC-ind | 0.009 | 0.080 | 0.071 | 1.12 | 0.260 | |||
| Educa → PAC-ind | 0.024 | 0.139 | 0.070 | 1.97 | 0.047 | 0.177 | 0.214 | |
| Work Exp → PAC-ind | 0.022 | 0.143 | 0.070 | 2.03 | 0.041 | |||
| Life Exp → PAC-ind | 0.041 | 0.191 | 0.069 | 2.74 | 0.006 | |||
| IM →PAC-ind | 0.072 | 0.259 | 0.068 | 3.77 | 0.000 | |||
| Educa → IBW | 0.002 | −0.036 | 0.072 | 0.49 | 0.620 | 0.181 | 0.503 | |
| Work Exp → IBW | 0.008 | 0.067 | 0.071 | 0.94 | 0.346 | |||
| Life Exp → IBW | 0.023 | 0.114 | 0.070 | 1.61 | 0.106 | |||
| RAC-ind → IBW | 0.751 | 0.638 | 0.063 | 10.0 | 0.000 | |||
| AW*CAR-ind → IBW | 0.075 | 0.193 | 0.069 | 2.77 | 0.005 | |||
| AW → IM | 0.137 | 0.347 | 0.067 | 5.14 | 0.000 | – | 0.116 |
Notes: VIF < 1.3, therefore, multicollinearity is not a problem for interpreting the relative importance of predictors. t-values and p-values were estimated from Kock’s (2018) standard error. Subtitles: AW = Autonomy at Work; PAC-ind = Potential individual absorptive capacity; RAC-ind = Absorptive capacity for individual achievement; Educa = Education; IBW = Innovative behavior at work; IM = Intrinsic motivation; Life Exp = Life experience; Work Exp = Work experience; Q2_predict = Predictive validity; R2 adj. = Adjusted R square
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