Journal article
The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China
International journal of information management, Vol.43, pp.209-223
12/2018
DOI: 10.1016/j.ijinfomgt.2018.08.005
Abstract
•A research model is developed to explain the formation of social media usage habit.•Sense of belonging positively influences the strength of usage habit.•Sense of belonging attenuates the effect of frequency of past behavior on usage habit.•Social media usage habit is positively associated with continuance intention.
Continued usage is critical to the success of social media applications. Although usage tends to become routine, little is known about the development of these habits, particularly with regard to users’ sense of belonging. Drawing upon the theoretical framework of habit formation, we propose a conceptual model that introduces users’ sense of belonging to explore the formation of usage habit from an affective perspective. The empirical results (for two samples of 594 social network users and 608 microbloggers in China) suggest that sense of belonging positively influences the strength of usage habit. In addition, sense of belonging attenuates the effect of frequency of past behavior on usage habit. These findings offer rich insights for understanding how and why social media usage habit arises. The implications for both theory and practice are discussed.
Details
- Title: Subtitle
- The impact of users’ sense of belonging on social media habit formation: Empirical evidence from social networking and microblogging websites in China
- Creators
- Qian Liu - China Center for Internet Economy Research, Central University of Finance and Economics, Beijing, ChinaZhen Shao - School of Management, Harbin Institute of Technology, Harbin, ChinaWeiguo Fan - Tippie College of Business, University of Iowa, Iowa, USA
- Resource Type
- Journal article
- Publication Details
- International journal of information management, Vol.43, pp.209-223
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/j.ijinfomgt.2018.08.005
- ISSN
- 0268-4012
- eISSN
- 1873-4707
- Grant note
- DOI: 10.13039/501100012166, name: National Key Research and Development Program of China, award: 2017YFB1400100; DOI: 10.13039/501100013139, name: Humanities and Social Science Fund of Ministry of Education of China, award: 17YJC630118; DOI: 10.13039/501100001809, name: National Natural Science Foundation of China, award: 71702206, 71771064
- Language
- English
- Date published
- 12/2018
- Academic Unit
- Business Analytics
- Record Identifier
- 9984083863202771
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