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Table 5 Marginal effects of multinomial Probit model for innovation choice (second model)

From: Innovation decision of Tunisian service firms: an empirical analysis

Variables

Probit model

Multinomial Probit model

New-to-market only

New-to-firm only

Both

dy/dx

SE

dy/dx

SE

dy/dx

SE

dy/dx

SE

Internal knowledge sourcing

 Engaging in innovation activities (ENGAG)

−0.193

0.120

−0.062

0.041

−0.029

0.023

0.091

0.048*

External knowledge sourcing

 Cooperation (COOPER)

0.191

0.087**

−0.039

0.044

0.025

0.029

0.014

0.057

 International orientation (INTER)

0.040

0.020**

−0.010

0.019

0.000

0.011

0.010

0.023

Absorptive capacity

 Education level (QUAL)

0.060

0.125

−0.041

0.085

0.164

0.087***

−0.122

0.124

 Group membership (APP GROUP)

0.057

0.046

−0.022

0.036

0.037

0.035

−0.014

0.056

Ressources

 Size (SIZE)

−0.007

0.048

0.063

0.044

0.057

0.036

−0.121

0.056**

 Size-squared

−0.003

0.006

−0.005

0.004

−0.005

0.004

0.010

0.006*

 Firm vintage (AGE)

0.009

0.005

−0.004

0.003

0.001

0.001

0.002

0.003

The aims of the innovation

 Replace obsolete services (SERV_OBS)

−0.023

0.020

−0.002

0.013

−0.006

0.010

0.009

0.017

 Improve service quality (QUAL_SERV)

0.043

0.045

0.119

0.056**

−0.021

0.021

−0.097

0.059*

 Extend the line of services (GAM_SERV)

0.020

0.022

0.038

0.024

0.021

0.014

−0.059

0.029**

 Sustain the market share (PART_MAR)

0.037

0.037

−0.125

0.056**

0.015

0.019

0.110

0.060*

 Reduce production cost (RED_COUT)

0.037

0.019*

−0.019

0.019

−0.025

0.010**

0.044

0.023*

Log-likelihood

−1526.3879

−4360.0491

Likelihood Ratio statistic (LR)

20814.832

6830.8306

Prob > LR

[0.000]

[0.000]

AIC

4627.886

8776.098

BIC

4664.217

8842.443

R squared

0.80

0.44

Number of observation

99

79

  1. Significance level: ***p < 1 %, **p < 5 %, *p < 10 %