Table VII Regression analysis for...

Table VII

Regression analysis for outbound open innovation

	Model 7			Model 8			Model 9			Model 10
	Autonomy (H2)			Product innovation (H4)			Autonomy (H2)			Innovation sales (H4)
	β	SE	p	β	SE	p	β	SE	p	β	SE	p
Antecedents
Outbound OI – 1 outbound practice	1.025	0.287	0.000***	0.153	0.358	0.669ns	0.643	0.338	0.057*	0.173	0.236	0.464ns
2 outbound practices	2.112	0.538	0.000***	−0.086	0.754	0.909ns	1.746	0.608	0.004**	0.749	0.330	0.023**
Mediator
Autonomy				0.277	0.199	0.163ns				0.325	0.088	0.000***
Controls
Firm age	0.024	0.159	0.878ns	−0.087	0.204	0.671ns	−0.071	0.189	0.705ns	−0.296	0.129	0.021**
Firm size	0.006	0.167	0.974ns	0.123	0.228	0.590ns	0.042	0.195	0.828ns	0.135	0.113	0.232ns
High-tech sector	−0.411	0.581	0.479ns	0.598	0.886	0.499ns	−0.588	0.649	0.365ns	0.585	0.362	0.106ns
Low-tech sector	0.356	0.310	0.250ns	−0.132	0.389	0.734ns	0.165	0.379	0.663ns	−0.299	0.279	0.285ns
Location in Copenhagen area	0.157	0.396	0.691ns	0.032	0.538	0.952ns	0.114	0.460	0.805ns	0.162	0.283	0.566ns
Process innovation	1.069	0.287	0.000***	0.775	0.353	0.028**	1.036	0.358	0.004***	−0.922	0.237	0.000***
Patent application	0.514	0.323	0.112ns	1.772	0.640	0.006***	0.221	0.360	0.540ns	0.220	0.196	0.262ns
Model
Specification	Ordinal regression			Binary logistic regression			Ordinal regression			Fractional regression
Fit type	Cox and Snell/Test of parallel lines			Cox and Snell/Test of parallel lines			Cox and Snell/Test of parallel lines			Wald statistic
Fit stats	0.194		0.986	0.124		0.298	0.144		0.899	46.12		0.000
Sample	307			307			229			229

	Model 7			Model 8			Model 9			Model 10
	Autonomy (H2)			Product innovation (H4)			Autonomy (H2)			Innovation sales (H4)
	β	SE	p	β	SE	p	β	SE	p	β	SE	p
Antecedents
Outbound OI – 1 outbound practice	1.025	0.287	0.000***	0.153	0.358	0.669ns	0.643	0.338	0.057*	0.173	0.236	0.464ns
2 outbound practices	2.112	0.538	0.000***	−0.086	0.754	0.909ns	1.746	0.608	0.004**	0.749	0.330	0.023**
Mediator
Autonomy				0.277	0.199	0.163ns				0.325	0.088	0.000***
Controls
Firm age	0.024	0.159	0.878ns	−0.087	0.204	0.671ns	−0.071	0.189	0.705ns	−0.296	0.129	0.021**
Firm size	0.006	0.167	0.974ns	0.123	0.228	0.590ns	0.042	0.195	0.828ns	0.135	0.113	0.232ns
High-tech sector	−0.411	0.581	0.479ns	0.598	0.886	0.499ns	−0.588	0.649	0.365ns	0.585	0.362	0.106ns
Low-tech sector	0.356	0.310	0.250ns	−0.132	0.389	0.734ns	0.165	0.379	0.663ns	−0.299	0.279	0.285ns
Location in Copenhagen area	0.157	0.396	0.691ns	0.032	0.538	0.952ns	0.114	0.460	0.805ns	0.162	0.283	0.566ns
Process innovation	1.069	0.287	0.000***	0.775	0.353	0.028**	1.036	0.358	0.004***	−0.922	0.237	0.000***
Patent application	0.514	0.323	0.112ns	1.772	0.640	0.006***	0.221	0.360	0.540ns	0.220	0.196	0.262ns
Model
Specification	Ordinal regression			Binary logistic regression			Ordinal regression			Fractional regression
Fit type	Cox and Snell/Test of parallel lines			Cox and Snell/Test of parallel lines			Cox and Snell/Test of parallel lines			Wald statistic
Fit stats	0.194		0.986	0.124		0.298	0.144		0.899	46.12		0.000
Sample	307			307			229			229

Notes: *,**,***Significant 0.1, 0.05 and 0.001 levels, respectively

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