Table 9

Path analysis with sustainability-oriented resource availability as explanatory variable

EUUKUSA
Testing pathLabelCoefficientBoot SECI lowerCI upperCoefficientBoot SECI lowerCI upperCoefficientBoot SECI lowerCI upper
Panel A: Path analysis with responsible innovation as a mediator
Direct effect
Sustainability-oriented resource availability → responsible innovationa1.02***0.100.831.210.83***0.090.651.011.00***0.120.781.23
Responsible innovation → competitivenessb0.18***0.020.140.220.17***0.090.130.210.12***0.030.050.18
Sustainability-oriented resource availability → competitivenessc0.27***0.030.210.330.21***0.030.140.270.19***0.040.110.26
Indirect effect
Sustainability-oriented resource availability → responsible innovation → competitivenessA * b0.23***0.080.060.400.27**0.130.030.520.130.11−0.080.35
Total effect
Sustainability-oriented resource availability → competitivenessc + (a * b)0.50***0.090.320.670.48***0.130.230.730.32***0.120.080.55
Panel B: Path analysis with organisational support as a mediator
Direct effect
Sustainability-oriented resource availability → organisational supporte0.22***0.030.190.250.23***0.010.200.250.24***0.020.210.28
Organisational support → competitivenessf0.84***0.120.601.080.64***0.110.430.840.44***0.140.170.71
Sustainability-oriented resource availability → competitivenessd0.28***0.030.210.330.21***0.030.140.270.19***0.040.110.26
Indirect effect
Sustainability-oriented resource availability → organisational support → competitivenesse * f0.600.38−0.151.360.620.41−0.201.43−0.490.46−1.400.42
Total effect
Sustainability-oriented resource availability → competitivenessd + (e * f)0.88**0.380.121.630.82**0.420.001.64−0.310.47−1.220.61
Note(s):

The results of the path analysis with bootstrap procedure include all control variables; Latent variables have undergone a transformation process via the Box-Cox technique, Significance levels: *p < 0.10; **p < 0.05; ***p < 0.01

Source(s): Authors’ elaboration using Stata® software

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