Table 5

Robustness results for different depth I4.0 and knowledge creation

Model 3aModel 3bModel 4aModel 4b
Knowledge for processKnowledge for product
Main variablesßßßß
Production depth I4.00.056–––
Marketing depth I4.0––0.151 
IF collaboration0.376***–0.298***–
Production depth I4.0 mediated by IF collaboration0.204*–––
Marketing depth I4.0 mediated by IF collaboration– 0.204*–
Production depth I4.0–0.118––
Marketing depth I4.0–– 0.125
KIBS–0.227*–0.324**
Production depth I4.0 mediated by KIBS–0.204*––
Marketing depth I4.0 mediated by KIBS–––0.204*
Control variables    
Technology customization−0.066−0.2530.9680.716
Employees (log)0.1820.460−0.0230.230
Industry0.097−0.0200.1470.069
Market type0.0680.063−0.102−0.099
Export (% on turnover)0.0020.0020.0030.003
R&D expenditure0.0020.0070.0020.005
Turnover (log)−0.032−0.170−0.149−0.348
Firm’s age−0.009−0.015−0.002−0.007
Product customization0.2760.184−0.0070.070

Note(s): N = 137. Dependent variable Models 3a and b = knowledge for process innovation. Dependent variable Models 4a,b = knowledge for product innovation. Unstandardized regression coefficients are reported. Models 3a and b: R = 0.377, R2 = 0.142. Models 4a and b: R = 0.286, R2 = 0.082. Bootstrap sample size = 5,000. LLCI = lower limit of 95% confidence interval; ULCI = upper limit of 95% confidence interval. Models 3a and b: SE = 0.098; z = 2.082; p = 0.039; LLCI = 0.010; ULCI = 0.398. Models 4a and b: SE = 0.096; z = 2.137; p = 0.035; LLCI = 0.015; ULCI = 0.394

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