Table 4.

Marginal effects for logistic regression models with dependent variable in the column and the single independent variable in the row.^a

		INT3			INTT			BG3			BGT			Total
Block	Question	dy/dx	p-value	Rank	dy/dx	p-value	Rank	dy/dx	p-value	Rank	dy/dx	p-value	Rank	rank
1 (social demand & innovation)	1a_Soc	−0.023	0.468	26	−0.053	0.072	23	−0.033	0.242	23	−0.095	0.006	18	24–25
	1b_Inn	0.112	0.000	14	0.085	0.001	17	0.020	0.475	25	0.039	0.208	23	21
2 (industry characteristics)	2a_Ent	−0.051	0.128	21	−0.058	0.062	21	−0.064	0.024	19	−0.103	0.004	14	19
3 (firm’s technology)	3a_Van	0.101	0.019	15	0.071	0.049	19	0.038	0.365	22	0.088	0.069	20	20
	3b_Inv	0.079	0.038	19	0.071	0.033	20	0.119	0.003	7	0.110	0.012	13	15
	3c_Pio	0.157	0.002	8	0.100	0.020	13	0.170	0.000	2	0.096	0.065	17	9
	3d_Sup	0.091	0.010	17	0.134	0.000	8	0.066	0.038	18	0.141	0.000	9	11–12
4 (international orientation)	4a_Vis	0.200	0.000	3	0.126	0.000	11	0.134	0.000	5	0.133	0.002	10	6
	4b_Exp	0.199	0.000	5	0.215	0.000	1	0.175	0.000	1	0.299	0.000	1	1
	4c_Tri	0.200	0.000	4	0.147	0.000	6	0.145	0.000	4	0.189	0.000	5	4
	4d_Rec	0.246	0.000	1	0.198	0.000	2	0.126	0.001	6	0.222	0.000	3	3
5 (openness to foreign opportunities)	5a_Per	0.219	0.000	2	0.177	0.000	4	0.154	0.000	3	0.280	0.000	2	2
	5b_Rec	0.139	0.000	11	0.131	0.000	10	0.110	0.000	8	0.205	0.000	4	7
	5c_Opo	0.185	0.000	6	0.185	0.000	3	0.101	0.005	9	0.175	0.000	7	5
	5d_Eva	0.145	0.000	9	0.145	0.000	7	0.030	0.397	24	0.120	0.006	12	11–12
	5e_Exp	0.167	0.000	7	0.134	0.000	9	0.048	0.188	20	0.090	0.034	19	13
6 (managerial experience)	6a_Exp_i	0.071	0.023	20	0.090	0.001	15	0.093	0.001	10	0.097	0.004	16	16
	6b_Exp_s	0.093	0.005	16	0.071	0.014	18	0.078	0.007	13	0.063	0.063	21	17
	6c_For	0.010	0.738	27	−0.023	0.425	27	0.067	0.023	17	−0.004	0.897	27	27
	6d_Neg	0.045	0.157	25	0.057	0.052	22	0.046	0.092	21	0.019	0.548	26	26
7 (co-operation)	7a_int	0.085	0.052	18	0.032	0.394	25	0.070	0.025	16	0.102	0.016	15	18
	7b_nac	−0.048	0.204	24	−0.113	0.001	12	0.012	0.713	27	−0.035	0.381	24	23
	7c_nac	0.051	0.182	22	−0.044	0.159	24	0.071	0.016	15	0.050	0.178	22	22
	7d_int	0.140	0.001	10	0.029	0.398	26	0.087	0.002	11	0.132	0.001	11	14
	7e_int	0.137	0.017	12	0.161	0.005	5	0.079	0.034	12	0.188	0.001	6	8
	7f_int	0.119	0.001	13	0.097	0.002	14	0.073	0.010	14	0.156	0.000	8	10
	7g_int	0.050	0.307	23	0.087	0.103	16	0.013	0.745	26	0.024	0.609	25	24–25

^aFor each dependent variable, the independent variable rank has been determined by ordering the absolute values of marginal effects from largest to smallest. Total rank is obtained by ordering the means of four ranks. The marginal effect has been noted with dy/dx and has been obtained from the Stata statistical package with the “mfx” command, i.e., the marginal effect at the mean value of each variable. As Likert-scale variables are concerned, the alternative command “margins” resulting in the average marginal effect provides very similar results, i.e., the rankings are not altered.