In an always connected communication environment, users of social networking services (SNSs) need to pay continuous attention to the overwhelming volume of social demands from SNSs. These increased energy requirements may cause SNS fatigue, which can lead to physical and psychological strain. Using the transactional theory of stress and coping as the overarching theory, this study regards overload (i.e., stressors) as a core determinant of SNS fatigue (i.e., strain) and identifies three dimensions of overload - information overload, communication overload, and system feature overload. It also includes SNS characteristics as the antecedents of overload. The data used in this study were collected from 201 individuals through online and offline surveys. Our results show that all three dimensions of overload were significant stressors that influence SNS fatigue. Regarding the predictors of overload, the characteristics of the SNS system significantly influenced the features of system overload, while information equivocality positively influences information overload. However, information relevance was not a significant predictor of information overload and information equivocality was not a significant predictor of communication overload.
|Number of pages||11|
|Journal||Computers in Human Behavior|
|Publication status||Published - 2016 Feb 1|
Bibliographical noteFunding Information:
This work was supported by the Ministry of Education of the Republic of Korea and the National Research Foundation of Korea ( NRF-2015S1A5A8015070 ). Also, this research was supported in part by Barun ICT Research Center, Yonsei University.
© 2015 Elsevier Ltd.
All Science Journal Classification (ASJC) codes
- Arts and Humanities (miscellaneous)
- Human-Computer Interaction