Employee perception of electronic human resource management and COVID-19 restrictions in public organizations: the experience of Ghana Revenue Authority, Bono Region

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Table 7 Regression results

Model	Variable	B	Beta	t-stat	Sig	Collinearity statistics tolerance	VIF
1	(Constant)	0.62		− 1.536	0.120
1	e-HRM practices	1.068	0.781	9.926	0	1	1
2	(Constant)	− 0.959			0.112
	e-HRM practices	0.85	0.621	6.766	0.000	0.654	1.529
	Employee perception	0.400	0.272	2.957	0.004	0.654	1.529
3	(Constant)	− 1.218		1.806	0.076
	e-HRM practices	0.827	0.605	6.426	0.000	0.625	1.600
	Employee perception	0.367	0.249	2.587	0.012	0.599	1.669
4	(Constant)	− 1.01		− 0.84	0.404
	e-HRM practices	0.852	0.623	6.175	0.000	0.567	1.763
	Employee perception	0.369	0.251	2.527	0.014	0.587	1.705
	COVID-19	0.098	0.068	0.736	0.465	0.672	1.488
	Gender	− 0.009	− 0.003	− 0.042	0.967	0.893	1.120
	Age group	− 0.179	− 0.15	− 1.386	0.171	0.495	2.018
	Education	− 0.025	− 0.012	− 0.144	0.886	0.834	1.199
	Experience	0.191	0.148	1.407	0.165	0.520	1.925
	Management level	− 0.008	− 0.004	− 0.405	0.965	0.769	1.301

R	R²	S.E	F-stat	p value
Model summary 1
0.781	0.610	0.83434	98.531	0.000
Model summary 2
0.811	0.658	0.78734	59.696	0.000
Model summary 3
0.814	0.662	0.78944	39.809	0.000
Model summary 4
0.823	0.677	0.8054	14.669	0.000

1. Predictors: (Constant) and e-HRM practices
2. Predictors: (Constant), e-HRM practices, and employee perception
3. Predictors: (Constant), e-HRM practices, employee perception, and COVID-19
4. Predictors: (Constant), e-HRM practices, employee perception, COVID-19, gender, age group, education, management level, and experience
5. Dependent variable: e-HRM adoption
d. Durbin–Watson = 1.653