TABLE 7.

Average marginal effects.

Variables	Model 1	Model 2	Model 3	Model 4
Job position (manager)	0.102∗∗∗	0.083∗∗	0.060	0.058
Firm size 51–250	0.088	0.084	0.095	0.097
Firm size 251–1000	–0.026	0.001	0.025	0.024
Firm size > 1000	–0.029	–0.007	0.010	0.008
Location (North)	–0.020	–0.028	–0.032	–0.035
Age 35–44	–0.006	–0.015	–0.010	–0.008
Age 45–54	–0.141∗∗	–0.123∗∗	–0.116∗∗	–0.114∗∗
Age > 54	–0.032	–0.027	–0.022	–0.019
Tenure ≤ 5	0.053	0.049	0.054	0.052
Tenure > 10	–0.008	–0.008	–0.008	–0.011
Education_low	0.072*	0.054	0.053	0.056
Education_medium	–0.033	–0.065	–0.065	–0.065
R&S	–0.016	–0.016	–0.031	–0.027
Manufacturing sectors	0.029	0.035	0.025	0.023
Sectors with the potential to become digitalized	–0.025	–0.019	–0.017	–0.015
Digitalized sectors	–0.076	–0.065	–0.066	–0.067
Multinational firm	–0.031	–0.036	–0.050	–0.050
Gender	–0.038	–0.033	–0.024	–0.023
Formal performance appraisal		–0.089∗∗	–0.102∗∗	–0.098∗∗
Result-oriented appraisal		0.124∗∗∗	0.070*	0.081∗∗
Exhibited skill-oriented appraisal		0.089∗∗∗	0.082∗∗	0.079∗∗
New competence-oriented appraisal		0.152∗∗∗	0.123∗∗∗	0.138∗∗∗
Employees’ involvement in goal setting			0.178∗∗∗	0.174∗∗∗
Employees’ involvement in goal setting × result-oriented appraisal				0.097
Employees’ involvement in goal setting × exhibited skill-oriented appraisal				0.029
Employees’ involvement in goal setting × new competence-oriented appraisal				–0.126
Observations	865	865	865	865
Mean VIF	2.70	2.77	2.78	2.62
AUC	0.6226	0.6568	0.6816	0.6865
Pseudo R2	0.0330	0.0566	0.0785	0.0816
Log likelihood	-579.2	-565.1	-552.0	-550.1

^∗∗∗p < 0.01, ^∗∗p < 0.05, ^*p < 0.10.