Cultivating the sense of belonging and motivating user participation in virtual communities: A social capital perspective
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Members' feelings of relatedness positively correlate with their intention to acquire and share knowledge in virtual communities.
“Ref. [66], through their investigation into fostering a sense of belonging in virtual communities, discovered that members' feelings of relatedness positively correlated with their intention to acquire and share knowledge, further confirming the role of relatedness in promoting knowledge-sharing intention.”
From What Influences Users’ Intention to Share Works in Designer-Driven User-Generated Content Communities? A Study Based on Self-Determination Theory (2023) · cites this paper as [66]
Cites
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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
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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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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