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Examining user switching between social Q&A platforms: a push–pull-mooring perspective
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Mooring factors play a moderating role in switch intention.
“Furthermore, research has found that mooring factors play a moderating role in switch intention (Zhou and Mi, 2023).”
From Understanding user switch of information seeking: From search engines to generative AI (2026) · cites this paper as Zhou and Mi, 2023
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Research works printed but not linked: 45
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Cited by
Sorted by citations
Understanding user switch of information seeking: From search engines to generative AI
Zhou, T., & Li, S. (2026) · Journal of Librarianship and Information Science · doi:10.1177/09610006241244800 · Cited by 70
Self-citation
Metadata
- Authors
- Zhou, T., & Mi, Q.
- Affiliations
- Hangzhou Dianzi University (CN)
- Corresponding author
- Zhou, Tao
- Venue
- Universal Access in the Information Society
- Published
- 2023-06-05
- Volume
- 23
- Issue
- 3
- Pages
- 1333-1342
- ISSN
- 1615-5289 (ISSN-L)
- 1615-5297
- OpenAlex
- W4379389955
- Cited by
- 15
- References
- 0
- Citations by year
- 2026: 5 · 2025: 6 · 2024: 4
- FWCI
- 2.71
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Universal Access in the Information Society (publishedVersion)
- Funders
- National Natural Science Foundation of China (71771069)
- Topics
- Physical Sciences › Computer Science › Information Systems › Expert finding and Q&A systems
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Social Sciences › Business, Management and Accounting › Marketing › Customer Service Quality and Loyalty
- Keywords
- push-pull-mooring framework, switching intention, switching costs, user dissatisfaction, user fatigue, content quality, user experience, user retention, platform selection
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