## 5 Results and Discussion
### The Structural Model Test
In other words, the concept of open reachability refers to the existence of open communication methods between SNS users and others who surround them. Certain SNS users are always openly communicating--for example, sending texts or providing updates to other users with whom they have relationships. In this sense, if an SNS user ignores all communications from other users, the user will not personally feel particularly high levels of SNS fatigue. [PERSON] and [PERSON] [13] claimed that open communication among both information producers and consumers of SNSs is a great advantage of SNSs. However, users often use SNSs for the purpose of self-expression and ignore information about other people. Regarding the relationship between the constructs involved in the process of reduced intention to use SNSs, first, SNS fatigue had a significant effect (at \(p<0.01\)) on living disorder (\(\beta=0.411\), \(t\)-value = 7.236). Thus, H5 was supported. This result implies that when users suffer SNS use-related fatigue, they experience various living disorders in their daily lives. Between 2017 and 2018, as various information technologies become increasingly popular, the number of SNS users worldwide expanded from 2.46 billion to 2.62 billion [53]. [PERSON] et al. [40] claimed that proactive use of SNSs may have an adverse effect on privacy and business. Furthermore, [PERSON] et al. [54] argued that if the technology used during work results in stress or exhaustion, it causes conflict between technology and life, which negatively affects the latter. Second, our analysis showed a significant relationship between living disorder and reduced SNS use intention, with a path coefficient of 0.324 and a \(t\)-value of 4.322. Thus, H6 was supported at \(p<0.01\). This result is consistent with prior studies e.g., [20; 31] showing that the addictive use of SNSs leads to both living and job disorders that negatively influence users' intentions to use the services. Figure 3 shows the structural model analysis of the direct effects (H1 to H6) and Table 8 summarizes the results of the hypotheses tests (H1 to H6). The \(R^{2}\) of the endogenous variables suggested that the four external constructs--irrelevant information overload, open reachability, engagement, and maintaining self-reputation--explained 51.8% of the variance in SNS fatigue, which explained 16.9% of the variance in living disorder. These results imply that the direction in which the four exogenous variables move determined 51.8% of the information related to SNS fatigue (endogenous variable). Similarly, 16.9% of the information related to living disorder moved in the same direction as SNS fatigue. Lastly, living disorder explained 10.5% of the information related to reduced SNS use intention. Figure 3: The structural model for the direct effects (H1 to H6). After evaluating the direct effects, we evaluated the moderating effect of the experience of privacy violations using [PERSON] and [PERSON]'s [55] moderated multiple regression approach, which involves testing two models to identify differences in R\({}^{2}\). First, we analyzed the model with living disorder and experience of privacy violations as predecessor variables to find R\({}^{2}(R_{1}^{2})\). Next, we analyzed the second model with three variables (living disorder, experience of privacy violations, and the interaction term of these two variables) as predecessor variables to find R\({}^{2}(R_{2}^{2})\). We then found the F-value by considering \(\Delta R^{2}\), samples (N), and DF (degrees of freedom). This analysis showed that the moderating effect of the experience of privacy violations was significant within the relationship between living disorder and reduced SNS use intention. This result implies that when individuals experience living disorders because of excessive SNS use, their use reduction intentions increase. In this context, experiencing more privacy intrusions will strengthen individuals' intentions to reduce SNS use.