Risk governance and cybercrime: the hierarchical regression approach

Future Business Journal

Table 5 Hierarchical regression analysis

Variable	Model 1			Model 2			Model 3
Variable	B	SE B	β	B	SE B	β	B	SE B	β
CRO_centrality	0.357729	2.653295	0.0192*	0.480595	0.178433	0.0209*	− 1.145268	0.651863	0.0797
ERM_index	0.295916	2.185682	0.0219*	0.122088	0.39216	0.0458*	0.455905	0.031593	0.0576*
BRC_size	0.328536	1.115555	0.7686	0.052798	0.044063	0.2318	− 0.009177	0.002983	0.0722
BRC_activism	0.63852	0.102648	0.0001*	0.010103	0.005212	0.0536*	0.004284	0.011645	0.0221*
CRO_presence	− 0.022859	0.069892	0.7438	0.13199	0.015101	0.0153	0.280285	0.012879	0.2412
BRC_indp	0.148971	0.06256	0.0178*	0.494993	0.018938	0.0007*	− 0.013179	0.042683	0.0077*
BOD_indp				0.366874	0.078328	0.0339*	0.005837	0.001452	0.0001*
BSIZE				− 0.00096	0.00138	0.0473*	0.019721	0.012212	0.0072*
FAGE							0.315561	0.290121	0.1474
FSIZE							0.420458	1.250831	0.0469*
R²		0.52			0.57			0.59
Adjusted R²		0.51			0.55			0.57
Adjusted R² change		0.00			0.04			0.02
Durbin–Watson stat		2.01613			2.15391			1.92172