- مبلغ: ۸۶,۰۰۰ تومان
- مبلغ: ۹۱,۰۰۰ تومان
Based upon the stressor-strain-outcome framework, this study proposes that perceived system feature overload, information overload, and social overload are stressors which induce strain, in terms of social network fatigue and dissatisfaction. Both of social network fatigue and dissatisfaction further influence discontinuous use intention. The empirical results indicate that three types of perceived overload exert greater effects on social network fatigue than dissatisfaction, both of which further increase users’ intention of discontinuance. The study also finds that demographic characteristics, such as gender and age, also have moderating effects on these relationships.
6. Implications, limitations, and future research
The results of this study should be interpreted in light of its limitations. First, though behavioral intention is usually regarded as an effective predictor of actual behavior, in-depth investigation should be conducted in the future considering the actual discontinuous behavior. Second, the variance of social network fatigue explained by perceived overload is 45.8%, indicating that future research can address other contributing factors. In addition, though the results of Harman’s one-factor test suggest that common method bias is unlikely to be a major threat in our study,statistical methods alone could not solve method bias. In future work, programmatic work with other methods would be needed to minimize method bias in advance and ensure that our results are not limited to the particular methods used in this study . Moreover, as fatigue is a psychological state that could arise and disappear suddenly, more studies need to be conducted on the inhibitors of social network fatigue. In the long run, whether there is a regular pattern in the occurrence of social network fatigue and discontinuous use and what factors will motivate users who have experienced social network fatigue to stop suspending and reuse SNSs are questions that provide potential directions for future research. Finally, although Qzone is a widely used SNS in China, it represents only one type of SNS. More studies are needed to generalize our findings to other types of SNS, such as microblogs or WeChat, which is another prevalent SNS with a huge user base in China, or SNSs in other countries.