Hypothesis results (PLS-SEM) vs effect sizes (NCA)
| Relationship/variable | PLS-SEM hypothesis results | NCA effect size and p-value | Comparison and insight |
|---|---|---|---|
| GDC → HSP | β = 0.252, p < 0.01 | Effect size = 0.153, p < 0.01 | PLS-SEM confirms a strong and statistically significant relationship, indicating that GDC enhances HSP. Moreover, the NCA result shows a reasonable effect size of GDC, suggesting it is necessary for achieving HSP |
| GKS → HSP | β = 0.201, p < 0.01 | Effect size = 0.070, p < 0.01 | GKS has a positive effect on HSP in PLS-SEM. Moreover, NCA shows that GKS has a small effect on HSP, meaning that GKS alone is not a strict requirement for HSP but plays a supporting role |
| GDC → CEP | β = 0.207, p < 0.01 | Effect size = 0.000, p > 0.01 | While PLS-SEM shows a significant path. Whereas the NCA reveals that GDC is not a necessary condition for CEP. This suggests that GDC can influence CEP, but it is not a necessary condition to achieve CEP |
| GKS → CEP | β = 0.430, p < 0.01 | Effect size = 0.131, p < 0.01 | GKS exhibits the strongest impact on CEP through PLS-SEM, and NCA confirms that it is a necessary condition for CEP. To maximize CEP, organizations must fully develop GKS |
| CEP → HSP | β = 0.197, p < 0.01 | Effect size = 0.165, p < 0.01 | CEP significantly affects HSP in PLS-SEM, and NCA reinforces that CEP is a necessary condition for maximizing HSP. To optimize HSP, the CEP must be fully implemented |
| Relationship/variable | PLS-SEM hypothesis results | NCA effect size and | Comparison and insight |
|---|---|---|---|
| GDC → HSP | Effect size = 0.153, | PLS-SEM confirms a strong and statistically significant relationship, indicating that GDC enhances HSP. Moreover, the NCA result shows a reasonable effect size of GDC, suggesting it is necessary for achieving HSP | |
| GKS → HSP | Effect size = 0.070, | GKS has a positive effect on HSP in PLS-SEM. Moreover, NCA shows that GKS has a small effect on HSP, meaning that GKS alone is not a strict requirement for HSP but plays a supporting role | |
| GDC → CEP | Effect size = 0.000, | While PLS-SEM shows a significant path. Whereas the NCA reveals that GDC is not a necessary condition for CEP. This suggests that GDC can influence CEP, but it is not a necessary condition to achieve CEP | |
| GKS → CEP | Effect size = 0.131, | GKS exhibits the strongest impact on CEP through PLS-SEM, and NCA confirms that it is a necessary condition for CEP. To maximize CEP, organizations must fully develop GKS | |
| CEP → HSP | Effect size = 0.165, | CEP significantly affects HSP in PLS-SEM, and NCA reinforces that CEP is a necessary condition for maximizing HSP. To optimize HSP, the CEP must be fully implemented |
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