Cited by 389Knowledge Management and SharingDigital Marketing and Social MediaExpert finding and Q&A systems

Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective

Zhao, Ling, Lu, Yaobin, Wang, Bin, Chau, Patrick Y.K., Zhang, Long·2012·International Journal of Information Management

Integrity signals

Registry

Crossref · 10.1016/j.ijinfomgt.2012.02.006

Cites

15 of 15 references verified0 citation errors · 0 not checkable

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Authors
Zhao, L., Lu, Y., Wang, B., Chau, P. Y. K., & Zhang, L.
Affiliations
  • Huazhong University of Science and Technology (CN)
  • University of Hong Kong (HK)
Corresponding author
  • Lu, Yaobin
  • Zhang, Long
Venue
International Journal of Information Management
Publisher
Elsevier BV
Published
2012-12
Volume
32
Issue
6
Pages
574-588
ISSN
0268-4012 (ISSN-L)
OpenAlex
W1982697094
Cited by
389
References
15
Citations by year
2026: 21 · 2025: 32 · 2024: 34 · 2023: 33 · 2022: 33 · 2021: 39 · 2020: 25 · 2019: 37 · 2018: 37 · 2017: 22 · 2016: 27 · 2015: 21 · 2014: 24 · 2013: 4
FWCI
47.40
Type
journal article
Language
en
Open access
closed
Locations
  • International Journal of Information Management (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
Funders
  • National Natural Science Foundation of China (70971049, 9054004, N_CityU 115/10)
  • Research Grants Council, University Grants Committee
Topics
  • Social Sciences › Communication › Knowledge Management and Sharing
  • Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
  • Physical Sciences › Computer Science › Information Systems › Expert finding and Q&A systems
Keywords
online communities, sense of belonging, user participation, social capital, structural social capital, cognitive social capital, relational social capital, perceived similarity, trust, knowledge sharing, experience sharing, purchase decision

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

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