Table 3

Structural model results

HypothesisPathβt-valuep-value95% CIOutcome
Panel A. Direct path coefficients
H1aDigitalization → short-term efficiency and service performance0.316.20< 0.001[0.21, 0.41]Supported
H1bDigitalization → adaptability0.285.67< 0.001[0.18, 0.38]Supported
H1cDigitalization → resilience0.265.20< 0.001[0.16, 0.36]Supported
H2aLocalization → short-term efficiency and service performance0.295.88< 0.001[0.19, 0.39]Supported
H2bLocalization → adaptability0.336.25< 0.001[0.23, 0.43]Supported
H2cLocalization → resilience0.275.54< 0.001[0.18, 0.36]Supported
H3aRegulatory reform → short-term efficiency and service performance0.255.01< 0.001[0.15, 0.35]Supported
H3bRegulatory reform → adaptability0.224.55< 0.001[0.13, 0.31]Supported
H3cRegulatory reform → resilience0.244.87< 0.001[0.14, 0.34]Supported
H4aDigitalization → organizational readiness0.346.80< 0.001[0.24, 0.44]Supported
H4bLocalization → organizational readiness0.306.12< 0.001[0.20, 0.40]Supported
H4cRegulatory reform → organizational readiness0.326.40< 0.001[0.22, 0.42]Supported
Construct
Panel B. Model explanatory and predictive power
Short-term efficiency and service performance0.250.18
Adaptability0.240.17
Resilience0.220.15
Organizational readiness0.310.22
Note(s):

β = standardized path coefficient. Confidence intervals are based on bootstrapping (5,000 resamples). All relationships are statistically significant (p < 0.001). R2 = coefficient of determination; Q2 = predictive relevance. All Q2 values are above zero, indicating adequate predictive relevance

Source(s): Authors’ own work

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