Table 3 Regression weights for direct,... | Emerald Publishing

Table 3

Regression weights for direct, indirect and user defined pathways for Model 1

Direct effects	β	Standard error	95%CI [LL,UL]
PSC → Innovation Capacity	0.14^ns	0.12	−0.08, 0.34
Innovation Capacity → Readiness for Industry 5.0	0.63^**	0.05	0.52, 0.74
PSC → Attitude towards Organisational Change	0.75^**	0.04	0.67, 0.81
Attitude towards Organisational Change → Readiness for Industry 5.0	0.21^**	0.07	0.07, 0.33
Attitude towards Organisational Change → Innovation Capacity	0.49^**	0.10	0.30, 0.68

Direct effects	β	Standard error	95%CI [LL,UL]
PSC → Innovation Capacity	0.14^ns	0.12	−0.08, 0.34
Innovation Capacity → Readiness for Industry 5.0	0.63^**	0.05	0.52, 0.74
PSC → Attitude towards Organisational Change	0.75^**	0.04	0.67, 0.81
Attitude towards Organisational Change → Readiness for Industry 5.0	0.21^**	0.07	0.07, 0.33
Attitude towards Organisational Change → Innovation Capacity	0.49^**	0.10	0.30, 0.68

Indirect effects	β	Standard error	95%CI [LL,UL]
PSC → Readiness for Industry 5.0	0.47^**	0.05	0.37, 0.58
PSC → Innovation Capacity (through ATOC)	0.37^**	0.76	0.23, 0.52
Attitude towards Organisational Change → Readiness for Industry 5.0	0.31^**	0.66	0.18, 0.44

Indirect effects	β	Standard error	95%CI [LL,UL]
PSC → Readiness for Industry 5.0	0.47^**	0.05	0.37, 0.58
PSC → Innovation Capacity (through ATOC)	0.37^**	0.76	0.23, 0.52
Attitude towards Organisational Change → Readiness for Industry 5.0	0.31^**	0.66	0.18, 0.44

User defined paths	β	Standard error	95%CI [LL,UL]
Path a x b	0.13^**	0.04	0.05, 0.20
Path c x d	0.72^ns	0.06	−0.04, 0.19
Path a x f x d	0.19^**	0.05	0.11, 0.30

Note(s): ^nsp > 0.05, ^*p < 0.05, ^**p < 0.01