Table 6. Structural models assessment...

Table 6.

Structural models assessment

Model 1	Direct effect	p-value	t-value	BCCI			Support	VIF	Explained variance %	f²
PBP (R² = 0.299/Q²_predict = 0.163)									5%		95%
H1 (+): EO	0.456	0.000	5.829	[0.329	;	0.585]	Yes	1.064	19.3	0.279	medium
H2 (−): CO	−0.316	0.000	3.365	[−0.462	;	−0.160]	Yes	1.021	9.9	0.140	small
Control variables:									2.5%		97.5%
SIZE	−0.037	0.667	0.431	[−0.220	;	0.116]
AGE	0.085	0.447	0.760	[−0.147	;	0.292]
TEC.INT	−0.216	0.267	1.110	[−0.620	;	0.138]
Model 2 (with synergistic effects)
PBP (R² = 0.341/Q²_predict = 0.185)
				5%		95%
H1 (+): EO	0.469	0.000	5.848	[0.341	;	0.605]	Yes	1.068	19.8	0.313	medium
H2 (−): CO	−0.289	0.001	3.145	[−0.434	;	−0.139]	Yes	1.040	9.0	0.122	small
H3 (+): CO × EO	0.216	0.015	2.183	[0.016	;	0.342]	Yes	1.060	4.7	0.063	small
Control variables:				2.5%		97.5%
SIZE	−0.042	0.628	0.484	[−0.223	;	0.116]
AGE	0.046	0.686	0.404	[−0.179	;	0.269]
TEC.INT	−0.217	0.255	1.137	[−0.625	;	0.119]

Model 1	Direct effect	p-value	t-value	BCCI			Support	VIF	Explained variance %	f²
PBP (R² = 0.299/Q²_predict = 0.163)									5%		95%
H1 (+): EO	0.456	0.000	5.829	[0.329	;	0.585]	Yes	1.064	19.3	0.279	medium
H2 (−): CO	−0.316	0.000	3.365	[−0.462	;	−0.160]	Yes	1.021	9.9	0.140	small
Control variables:									2.5%		97.5%
SIZE	−0.037	0.667	0.431	[−0.220	;	0.116]
AGE	0.085	0.447	0.760	[−0.147	;	0.292]
TEC.INT	−0.216	0.267	1.110	[−0.620	;	0.138]
Model 2 (with synergistic effects)
PBP (R² = 0.341/Q²_predict = 0.185)
				5%		95%
H1 (+): EO	0.469	0.000	5.848	[0.341	;	0.605]	Yes	1.068	19.8	0.313	medium
H2 (−): CO	−0.289	0.001	3.145	[−0.434	;	−0.139]	Yes	1.040	9.0	0.122	small
H3 (+): CO × EO	0.216	0.015	2.183	[0.016	;	0.342]	Yes	1.060	4.7	0.063	small
Control variables:				2.5%		97.5%
SIZE	−0.042	0.628	0.484	[−0.223	;	0.116]
AGE	0.046	0.686	0.404	[−0.179	;	0.269]
TEC.INT	−0.217	0.255	1.137	[−0.625	;	0.119]

Notes:

EO = entrepreneurial orientation; CO = conservative orientation, TEC.INT = technological intensity. BCCI bias-corrected confidence interval Bootstrapping, based on n = 10,000 subsamples. Hypothesised effects were assessed by applying a one-tailed test for a t student distribution (CI 90%). Effects from the control variables were evaluated by applying a two-tailed test (CI 95%)

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