Journal article
Examining continuance use on social network and micro-blogging sites: Different roles of self-image and peer influence
International journal of information management, Vol.47, pp.215-232
08/2019
DOI: 10.1016/j.ijinfomgt.2019.01.010
Abstract
•Self-image is a more significant factor in increasing SNS users’ sense of belonging and satisfaction.•Peer influence has a greater effect on micro-blogging sites users’ sense of belonging and satisfaction.•The sense of belonging explains the greater variance of continuance intention in SNS as compared with satisfaction.
Social network sites (SNS) and micro-blogging sites are popular yet distinctive social media. Previous studies have focused on one type of social media and thus overlook how the distinctive features of SNS and micro-blogging sites may affect underlying motivational mechanisms. To address this research gap, we draw from the self-regulation framework and propose a research model to explain how different appraisal factors (i.e., self-image and peer influence) affect continuance use through emotional responses (i.e., a sense of belonging and satisfaction). Furthermore, we argue that the effects of these appraisal and emotional factors are different across types of social media. We tested our research model by survey data collected from SNS and micro-blogging sites. The results confirm our hypotheses: First, self-image is a more significant factor in increasing SNS users’ sense of belonging and satisfaction, while peer influence has a greater effect on micro-blogging sites users’ sense of belonging and satisfaction. Second, the sense of belonging explains the greater variance of continuance intention in SNS as compared with satisfaction. A few theoretical and practical implications are discussed related to our findings on different motivational mechanisms.
Details
- Title: Subtitle
- Examining continuance use on social network and micro-blogging sites: Different roles of self-image and peer influence
- Creators
- Mi Zhou - Xi'an Jiaotong UniversityXiaofang Cai - University of Hong KongQian Liu - Central University of Finance and EconomicsWeiguo Fan - University of Iowa
- Resource Type
- Journal article
- Publication Details
- International journal of information management, Vol.47, pp.215-232
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.ijinfomgt.2019.01.010
- ISSN
- 0268-4012
- eISSN
- 1873-4707
- Grant note
- DOI: 10.13039/501100001809, name: National Natural Science Foundation of China, award: 71702206, 71872142, 71531013; name: National Key Research & Development Plan of China, award: 2017YFB1400100; name: Beijing Planning Office of Philosophy and Social Science, award: 18JDGLB021
- Language
- English
- Date published
- 08/2019
- Academic Unit
- Business Analytics
- Record Identifier
- 9984380427302771
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