Table 3

Results of regression analyses

Dependent variablesSC responsivenessFirm resilienceCOVID-19 impactResilience (moderation)
B1)(SE/t)B (SE/t)B (SE/t)B (SE/t)
 Constant3.009*** (0.104 / 28.810)2.984*** (0.332 / 8.987)1.292*** (0.229 / 5.636)1.127 (0.778 / 1.448)
Control variables2)Firm size0.030 (0.026 / 1.155)0.085*** (0.018 / 4.671)−0.004 (0.018 / −0.206)0.089*** (0.022 / 4.125)
 Electronics and
machinery
−0.006 (0.142 / −0.042)−0.207 (0.181 / −1.146)−0.299** (0.133 / −2.247)−0.227 (0.177 / −1.279)
 Consumer goods0.026 (0.141 / 0.187)0.122 (0.173 / 0.705)−0.053 (0.128 / −0.411)0.118 (0.174 / 0.679)
 Process industry0.009 (0.120 / 0.074)−0.024 (0.159 / −0.150)0.224 (0.133 / 1.685)−0.028 (0.157 / −1.778)
 Metal industry0.155 (0.125 / 1.236)−0.086 (0.156 / −0.548)−0.329*** (0.112 / −2.947)−0.086 (0.153 / −0.559)
Main variablesGeographic dispersion0.334 (0.386 / 0.865)   
 SC responsiveness 0.264*** (0.089 / 2.976) 0.866*** (0.226 / 3.828)
 Firm resilience  0.354*** (0.053 / 6.674) 
InteractionLogistics outsourcing   0.703*** (0.262 / 2.683)
 SC responsiveness ×
logistics outsourcing
   −0.227*** (0.076 / −3.007)
 Adj. R20.0060.0930.2670.1263)
 F1.2815.843***18.283***6.304***
 df6668 (df1); 277 (df2)

Notes:

1)Unstandardized coefficient;

2)Industry dummy variables, industry labelled “other” is the reference category;

3)Test of highest order unconditional interaction: R2-change = 0.0391; F(1, 277) = 9.043***;

*p < 0.1; **p < 0.05; ***p < 0.01

Source: Authors’ own work

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