Table 4.

Hierarchical regression results ^a.

	OUT		SCM		CRM		KM		CC		SP
	M 1	M2	M 1	M2	M 1	M2	M 1	M2	M 1	M2	M 1	M2
Block 1: Personal drivers
Age	−0.07	−0.07	−0.15 *	−0.16 *	−0.07	−0.08	−0.17 *	−0.17 *	−0.21 **	−0.21 **	−0.11	−0.12
Gender	0.02	0.03	−0.01	−0.05	−0.01	0.02	−0.05	−0.04	−0.08	−0.10	−0.01	−0.03
Education	−0.20 **	−0.18 *	−0.13	−0.13	−0.17 *	−0.18 *	−0.21 **	−0.22 **	−0.23 **	−0.21 **	−0.16 *	−0.18 *
Position	0.09	0.06	−0.07	−0.07	0.01	0.02	−0.06	−0.04	0.17 *	0.14	−0.13	−0.13
Block 2: Organizational drivers
Organizational size		−0.13		0.12		0.08		0.06		−0.08		0.09
Industry		0.04		0.18 *		0.06		−0.07		0.13		0.10
N	192	192	192	192	210	210	204	204	199	199	210	210
R2	0.04	0.07	0.05	0.08	0.03	0.03	0.08	0.09	0.10	0.13	0.07	0.08
Model F	2.17	2.13	2.57 *	2.80 *	1.58	4.99	4.18 **	3.17 **	5.23 ***	4.56 ***	3.72 **	2.91 *

^a Standardized regression coefficients are shown. * p < 0.05; ** p < 0.01; *** p < 0.001.