The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Understanding online community user participation: a social influence perspective
Abstract
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.
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Cites
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“…multiple theories, such as technology acceptance model (TAM), trust theory, social cognitive theory, social capital theory and social network theory, to explore online community user participation (Ridings et al., 2002; Hsu and Lu, 2007; Hsu et al., 2007; Koh et al., 2007; Toral et al., 2009).”
Background
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Social research 2.0: virtual snowball sampling method using Facebook
Baltar, F., & Brunet, I. (2012) · Internet Research · doi:10.1108/10662241211199960 · Cited by 1,284
Online Learning: Adoption, Continuance, and Learning Outcome—A Review of Literature
Panigrahi, R., Srivastava, P. R., & Sharma, D. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2018.05.005 · Cited by 607
Islam, A. K. M. N., Laato, S., Talukder, S., & Sutinen, E. (2020) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2020.120201 · Cited by 538
“Working out for likes”: An empirical study on social influence in exercise gamification
Hamari, J., & Koivisto, J. (2015) · Computers in Human Behavior · doi:10.1016/j.chb.2015.04.018 · Cited by 473
Why do people share their travel experiences on social media?
Oliveira, T., Araujo, B., & Tam, C. (2020) · Tourism Management · doi:10.1016/j.tourman.2019.104041 · Cited by 359
Metadata
- Authors
- Zhou, T.
- Venue
- Internet Research
- Publisher
- Emerald
- Published
- 2011-01-28
- Volume
- 21
- Issue
- 1
- Pages
- 67-81
- ISSN
- 1066-2243 (ISSN-L)
- OpenAlex
- W2003413782
- Cited by
- 498
- References
- 12
- FWCI
- 115.68
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
