Table V Regression analysis for inbound... | Emerald Publishing

Table V

Regression analysis for inbound open innovation

	Model 1			Model 2			Model 3			Model 4
	Autonomy (H1)			Product innovation (H3)			Autonomy (H1)			Innovation sales (H3)
	β	SE	p	β	SE	p	β	SE	p	β	SE	p
Antecedents
Inbound OI	0.476	0.102	0.000***	0.307	0.129	0.018**	0.424	0.126	0.001***	−0.032	0.071	0.645ns
Mediator
Autonomy				0.127	0.200	0.524ns				0.386	0.095	0.000***
Controls
Firm age	−0.109	0.160	0.497ns	−0.141	0.204	0.488ns	−0.200	0.190	0.292ns	−0.312	0.127	0.014**
Firm size	−0.154	0.169	0.363ns	0.056	0.231	0.809ns	−0.106	0.197	0.589ns	0.135	0.112	0.228ns
High-tech sector	−0.595	0.582	0.307ns	0.146	0.885	0.869ns	−0.743	0.655	0.257ns	0.725	0.394	0.065*
Low-tech sector	0.513	0.313	0.100*	0.019	0.399	0.962ns	0.385	0.383	0.314ns	−0.272	0.279	0.331ns
Location in Copenhagen area	0.084	0.398	0.833ns	0.068	0.551	0.901ns	0.184	0.461	0.690ns	0.202	0.293	0.491ns
Process innovation	1.067	0.290	0.000***	0.721	0.357	0.044**	1.127	0.362	0.002***	−0.891	0.237	0.000***
Patent application	0.209	0.336	0.534ns	1.492	0.650	0.022**	0.021	0.369	0.954ns	0.289	0.207	0.162ns
Model
Specification	Ordinal regression			Binary logistic regression			Ordinal regression			Fractional regression
Fit type	Cox and Snell/Test of parallel lines			Cox and Snell/Hosmer and Lemeshow			Cox and Snell/Test of parallel lines			Wald statistic
Fit stats	0.204		0.646	0.147		0.173	0.161		0.508	37.37		0.000
Sample	307			307			229			229

	Model 1			Model 2			Model 3			Model 4
	Autonomy (H1)			Product innovation (H3)			Autonomy (H1)			Innovation sales (H3)
	β	SE	p	β	SE	p	β	SE	p	β	SE	p
Antecedents
Inbound OI	0.476	0.102	0.000***	0.307	0.129	0.018**	0.424	0.126	0.001***	−0.032	0.071	0.645ns
Mediator
Autonomy				0.127	0.200	0.524ns				0.386	0.095	0.000***
Controls
Firm age	−0.109	0.160	0.497ns	−0.141	0.204	0.488ns	−0.200	0.190	0.292ns	−0.312	0.127	0.014**
Firm size	−0.154	0.169	0.363ns	0.056	0.231	0.809ns	−0.106	0.197	0.589ns	0.135	0.112	0.228ns
High-tech sector	−0.595	0.582	0.307ns	0.146	0.885	0.869ns	−0.743	0.655	0.257ns	0.725	0.394	0.065*
Low-tech sector	0.513	0.313	0.100*	0.019	0.399	0.962ns	0.385	0.383	0.314ns	−0.272	0.279	0.331ns
Location in Copenhagen area	0.084	0.398	0.833ns	0.068	0.551	0.901ns	0.184	0.461	0.690ns	0.202	0.293	0.491ns
Process innovation	1.067	0.290	0.000***	0.721	0.357	0.044**	1.127	0.362	0.002***	−0.891	0.237	0.000***
Patent application	0.209	0.336	0.534ns	1.492	0.650	0.022**	0.021	0.369	0.954ns	0.289	0.207	0.162ns
Model
Specification	Ordinal regression			Binary logistic regression			Ordinal regression			Fractional regression
Fit type	Cox and Snell/Test of parallel lines			Cox and Snell/Hosmer and Lemeshow			Cox and Snell/Test of parallel lines			Wald statistic
Fit stats	0.204		0.646	0.147		0.173	0.161		0.508	37.37		0.000
Sample	307			307			229			229

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