## 7 Discussion
As the t-value is higher than the critical value (1.96) and at the significance value lower than the threshold of 0.05, the path coefficient is significant. Thus, there is a significant positive relationship between GF and CP. This provides substantial empirical evidence to accept hypothesis H14. The result appears to be consistent with both theoretical predictions and the results of several other investigations [76; 77; 78] from various contexts, and it is in line with findings from earlier research that has shown a similar finding [77], where the government issues periodic warnings regarding internet security as a result of the growth in data breaches brought on by hacking incidents. H15: Cybersecurity leadership (CL) has a positive, significant relationship with cyberattack prevention (CP). The result shows that the path coefficient value between CP and CL is 0.554. As the t-value is 7.595, higher than the critical value of 1.96, as well as the \(p\)-value of 0.000, which is smaller than the threshold of 0.05, the results show that the path coefficient is significant. Hence, there is a significant positive relationship between CP and CL. This result provides sufficient empirical evidence to accept hypothesis H15. The result appears to be consistent with both theoretical predictions and the results of several other investigations [84; 86; 87] from various contexts, and it is in line with findings from earlier research that has shown similar findings [89], where putting cybersecurity functions in the right positions will be essential for maintaining business operations, and cybersecurity leadership on new practices will lead to successful prevention measures. Hypotheses 16-22 show the results of indirect mediation effect between all seven proposed independent variables (IVs) and dependent variables (DV) through cybersecurity leadership (CL) as the mediating variable. According to [116], full mediation occurs when the mediated effect is significant but not the direct effect, while partial mediation occurs when a mediator variable partially explains the relationship between an exogenous and an endogenous construct in the presence of a significant direct effect. Therefore, and as shown in Table 14, Cybersecurity Leadership (CL) has a full indirect mediating effect between the dependent variable Cyberattack Prevention (CP) and the five independent variables Self-Efficacy (SE), Perceived Severity (PS), Perceived Vulnerability (PV), Response Cost (RC) and Organization Training (OFT) because none of these five constructs have a direct significant effect on cyberattack prevention as a DV, but there was significant direct effect through cybersecurity leadership as a mediating variable. Meanwhile, Cybersecurity Leadership (CL) has a partial mediation effect between Cyberattack Prevention (CP) and only two independent variables, Response Efficacy (RE), and Government Frequent Alerting (GF). This is because these two constructs have a significant direct effect on cyberattack prevention as a DV, and significant direct effect through cybersecurity leadership as a mediating variable at the same time. These findings confirmed the importance of cybersecurity leadership (CL) as a mediator that leverages and boosts cyberattack preventive behavior among individuals in financial and business organizations. Many recent studies in the cybersecurity field have emphasized the importance of cybersecurity leadership [19; 83; 132; 133]. Despite the significance of leaders in encouraging cybersecurity practices, there is a lack of empirical research on the role of these leaders as a human factor that fosters organizational cyberattack prevention among individuals. Thus, the findings of the testing hypotheses (H16-H22) filled this gap by revealing an empirical result on the importance of cybersecurity leadership as a mediating variable that facilitates higher cyberattack prevention among individuals in the organization.