Table 3.

Multilevel Linear mixed-effects Regression Models Predicting Technostress and Work Exhaustion.

	Technostress			Work exhaustion
Fixed part	b	SE	p	b	SE	p
Constant	9.47	1.96	<.001	5.87	1.96	.003
Within-person variables
Time	−0.35	0.51	.492	−0.84	0.44	.056
Cyberbullying at work	2.20	0.76	.004	3.47	0.89	<.001
Working hours per week (ref. 35–40 h)
1–34 h	0.77	0.54	.154	−1.25	0.48	.008
>40 h	0.49	0.48	.306	−0.02	0.55	.969
Between-person variables
T1: Formal SMC at work	0.84	0.35	.017	0.33	0.30	.268
T2: Formal SMC at work	0.05	0.29	.848	0.00	0.31	.992
T1: Informal SMC at work	0.28	0.37	.442	−0.32	0.44	.460
T2: Informal SMC at work	0.54	0.39	.166	0.00	0.42	.991
Time x T1: Formal SMC at work	−0.61	0.31	.047	−0.60	0.28	.031
Time x T2: Formal SMC at work	0.63	0.25	.011	0.52	0.28	.068
Time x T1: informal SMC at work	0.08	0.29	.778	0.11	0.41	.796
Time x T2: informal SMC at work	0.33	0.33	.315	0.16	0.40	.694
Active private social media use	0.28	0.49	.569	0.98	0.51	.054
Neuroticism	0.32	0.07	<.001	0.63	0.06	<.001
Extraversion	0.04	0.06	.554	0.00	0.07	.999
Female gender	−0.61	0.52	.244	0.24	0.54	.657
Age	−0.11	0.02	<.001	0.00	0.02	.938
Married or in close relationship	−0.29	0.49	.559	−0.39	0.50	.433
Underaged children at home	−0.11	0.47	.818	0.02	0.49	.974
Education (ref. prim./sec. degree)
University of applied science degree	0.60	0.54	.266	1.02	0.58	.079
University degree	−0.05	0.58	.927	0.92	0.61	.132
Income	0.17	0.18	.343	0.04	0.21	.831
Occupational area (ref. Industrial sector)
Service	0.89	0.71	.213	−1.03	0.75	.170
Business, communication and, technology	0.97	0.74	.190	−1.31	0.67	.052
Public administration	0.01	0.76	.991	−0.27	0.91	.768
Education	1.12	0.90	.214	1.29	0.85	.131
Health and welfare	0.50	0.63	.432	0.53	0.76	.485
Unknown	−0.64	1.22	.597	−2.03	1.44	.157
Remote work at least 2 days/week	0.45	0.79	.567	0.24	0.82	.767
Managerial position	0.59	0.61	.334	−0.45	0.65	.488
Random part	SD	95% CI]		SD	95% CI]
Constant	6.07	5.66	6.51	6.58	6.28	6.89
Time	4.64	4.32	4.99	4.44	4.11	4.80