Table 13 Moderating effects of... | Emerald Publishing

Table 13

Moderating effects of technology types on cyberfraud perpetration

Variables	Model 1 (main effects) B (SE)	Model 2 (moderation) B (SE)	Wald χ²	p-value
Constant	2.640 (0.230)	2.465 (0.235)	121.32	0.000
(r_c)	0.450 (0.135)	0.371 (0.136)	6.92	0.005
Preventive (⁠ ${prev}_{c}$ ⁠)	−0.880 (0.160)	−0.249 (0.122)	3.69	0.031
Detective (⁠ $\det_{c}$ ⁠)	−0.640 (0.132)	−0.334 (0.240)	2.91	0.024
Response (⁠ ${r e s p}_{c}$ ⁠)	−0.075 (0.081)	−0.079 (0.095)	0.54	0.240
r × Preventive	–	−0.223 (0.102)	2.84	0.032
r × Detective	–	−0.270 (0.110)	3.02	0.024
r × Response	–	0.124 (0.055)	1.29	0.128

Variables	Model 1 (main effects) B (SE)	Model 2 (moderation) B (SE)	Wald χ²	p-value
Constant	2.640 (0.230)	2.465 (0.235)	121.32	0.000
(r_c)	0.450 (0.135)	0.371 (0.136)	6.92	0.005
Preventive ( ${prev}_{c}$ )	−0.880 (0.160)	−0.249 (0.122)	3.69	0.031
Detective ( $\det_{c}$ )	−0.640 (0.132)	−0.334 (0.240)	2.91	0.024
Response ( ${r e s p}_{c}$ )	−0.075 (0.081)	−0.079 (0.095)	0.54	0.240
r × Preventive	–	−0.223 (0.102)	2.84	0.032
r × Detective	–	−0.270 (0.110)	3.02	0.024
r × Response	–	0.124 (0.055)	1.29	0.128

Source(s): Authors' computation from field survey data using IBM SPSS statistics version 29