# The Role of Decision-Making Styles in Shaping Cybersecurity Compliance Behavior
## 6 Discussion  
Our research provided the evidence for cybersecurity compliance behavior and explained in detail how the various decision-making styles of the employees differed in  
\begin{table}
\begin{tabular}{c c c c c c c c c c c c c} \hline  & \multicolumn{3}{c}{**Model 1**} & \multicolumn{3}{c}{**Model 2**} & \multicolumn{3}{c}{**Model 3**} & \multicolumn{3}{c}{**Model 4**} \\  & \multicolumn{3}{c}{**Dependent Var. CSCB**} & \multicolumn{3}{c}{**Dependent Var. CSCB**} & \multicolumn{3}{c}{**Dependent Var. CSCB**} & \multicolumn{3}{c}{**Dependent Var. CSCB**} \\  & \multicolumn{3}{c}{**General**} & \multicolumn{3}{c}{**DMS-Rational**} & \multicolumn{3}{c}{**DMS-Intuitive**} & \multicolumn{3}{c}{**DMS-Dependent**} \\ \hline  & **Beta** & **t** & **Sig. ** & **Beta** & **t** & **Sig. ** & **Beta** & **T** & **Sig. ** & **Beta** & **t** & **Sig. ** \\ \hline PS & 0.186 & 4.014 & 0.000 ** 00 00 00 00 00 00 00 00 00 000 00 00 00 00 000 00 00 000 00 000 00 00 000 00 000 00 000 000 000 00 000 000 000 000 00 000 000 000 000 000 000 000 000 000 000 000  
cybersecurity compliance behaviors. In this respect, the findings might be evaluated from two aspects. The first would be to evaluate the model for the overall group that included all participants, and the second would be to consider the differentiation in current cybersecurity compliance behaviors of subgroups, based on individuals' decision-making styles. For the general group, it was observed that perceived severity, perceived vulnerability, self-efficacy, response-efficacy, and security awareness affected cybersecurity compliance behavior, while perceived barriers had no impact. The effect of all variables differed from the general group and other subgroups. However, security awareness stood out as an essential explanatory factor in the general group and all subgroups, and perceived barriers did not have a significant explanatory effect. The effect of perceived severity on employees' cybersecurity compliance behaviors was tested, and results showed that the severity of cyber threats perceived by employees positively related to their compliance behaviors. Findings were in the same line as the results of [PERSON] et al. (2015), [PERSON] et al. (2014); [PERSON] et al. (2013); [PERSON] et al. (2011); [PERSON] and [PERSON] (2015); [PERSON] and [PERSON] (2013); and [PERSON] et al. (2010). From the decision style perspective, it was found that while perceived severity strongly explained the cybersecurity compliance behaviors of employees with rational decision-making styles, it could not explain the behaviors of employees with intuitive and dependent decision-making styles. Contrary to previous studies, [PERSON] et al. (2017) concluded that the perceived severity of employees was not a reliable indicator of cybersecurity protection intentions, and people's unawareness of the potential cyber threats was suggested as the cause of this. Indeed, this proposition was confirmed, since it was observed that employees with intuitive and dependent decision-making styles had less cybersecurity awareness, compared to employees with rational decision-making styles. We also examined the effects of perceived vulnerability on employees' cybersecurity compliance behaviors. Findings indicated that perceived vulnerability positively affected employees' cybersecurity compliance behaviors. This result supported the findings of [PERSON] (2013), [PERSON] et al. (2016), and [PERSON] et al. (2013) and extended [PERSON] et al. 's (2011) study by working on employees as a sample. On the other hand, the positive relationship could not be observed when participants were evaluated based on subgroups according to their decision-making styles. In light of the analysis, it was seen that employees' self-efficacy was significant in explaining cybersecurity compliance behavior. Findings showed that self-efficacy strongly explained the cybersecurity compliance behaviors of employees with rational decision-making styles.