Understanding online community user participation
A social influence perspective
Bibliographic Data
| ID | 12420635 |
|---|---|
| Authors | Tao Zhou (0000-0003-1295-8331, Hangzhou Dianzi University, corresponding author) |
| Year | 2011 |
| Volume | 21 |
| Issue | 1 |
| Pages | 67-81 |
| Publication date | 2011-01-22 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Internet Research (JOURNAL) |
| Journal identifiers | ISSN: 1066-2243 • E-ISSN: 2054-5657 |
| Publisher | Emerald Publishing Limited (PUBLISHER • GB) |
| DOI | 10.1108/10662241111104884 |
| OpenAlex | W2003413782 |
| Language | EN |
| Citations received | 79 |
| References cited | 44 |
Purpose The purpose of this study is to examine the determinants of online community user participation from a social influence perspective. Design/methodology/approach Based on 450 valid responses collected from a survey questionnaire, structural equation modeling (SEM) technology was employed to examine the research model. Findings The results show that both social identity and group norm have significant effects on user participation. In addition, group norm affects social identity. It was not possible to find the effect of subjective norm on participation intention. Research limitations/implications This research is limited to a particular sample: students. Thus the results need to be generalized to other samples, such as working professionals. Originality/value Extant research has mainly focused on the effects of user motivations such as perceived usefulness, trust and commitment on online community user behavior, and seldom considered the effects of social processes including compliance, identification and internalization on user behavior. This research tries to fill the gap
Extant taxon · Identity (music · Knowledge management · Norm (philosophy · Online community · Originality · Perspective (graphical · Political science · Social group · Social identity theory · Structural equation modeling · User group · Value (mathematics · World Wide Web · Computer Science · Digital Marketing and Social Media · Knowledge Management and Sharing · Psychology · Social Psychology · Technology Adoption and User Behaviour
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| Unique citing works | 79 |
|---|---|
| Citations per year | 4,94 |
| Citation span | 2010 - 2026 (17) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 79 |