What’s coming next? Epistemic curiosity and lurking behavior in online communities

Schneider, Andreas; von Krogh, Georg; Jäger, Peter

doi:10.1016/j.chb.2012.09.008

Cited by 106Knowledge Management and SharingExpert finding and Q&A systemsInnovative Human-Technology Interaction

What’s coming next? Epistemic curiosity and lurking behavior in online communities

Schneider, Andreas, von Krogh, Georg, Jäger, Peter·2013·Computers in Human Behavior

DOI 10.1016/j.chb.2012.09.008

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The relatively broad measure of personality traits based on the Big Five model may have failed to capture related characteristics and may contribute to the insignificant influence of personality traits in predicting TikTok usage behavior in the present study.
“A possible explanation is that the relatively broad measure of personality traits based on the Big Five model may have failed to capture related characteristics that can explain TikTok usage behavior.”
From Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage (2020) · cites this paper as [71]
Some scholars have suggested the use of specific characteristics, such as shyness and curiosity, to better understand differences in people's behavior in certain contexts.
“some scholars [71] have suggested the use of specific characteristics, such as shyness and curiosity, to better understand differences in people behavior in certain contexts.”
From Watch, Share or Create: The Influence of Personality Traits and User Motivation on TikTok Mobile Video Usage (2020) · cites this paper as [71]
The 90-9-1 rule classifies user participation into three categories: Lurkers, Contributors, and Superusers, where 90% of actors do not participate, 9% seldom contribute, and 1% contribute significantly to the content.
“The 90–9–1 rule classifies user participation into three categories; specifically, Lurkers, Contributors, and Superusers, where 90% of actors do not participate, 9% seldom contribute, and 1% contribute significantly to the content (15, 17, 18, 22, 23).”
From Trouble with the curve: the 90-9-1 rule to measure volitional participation inequalities among Royal Canadian Mounted Police cadets during training (2024) · cites this paper as [23]

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Authors: Schneider, A., von Krogh, G., & Jäger, P.
Affiliations: ETH Zurich (CH)
Corresponding author: Schneider, Andreas
Venue: Computers in Human Behavior
Publisher: Elsevier BV
Published: 2013-01
Volume: 29
Issue: 1
Pages: 293-303
ISSN: 0747-5632 (ISSN-L)
DOI: 10.1016/j.chb.2012.09.008
OpenAlex: W2075472600
Cited by: 106
References: 136
Citations by year: 2026: 4 · 2025: 3 · 2024: 5 · 2023: 3 · 2022: 14 · 2021: 9 · 2020: 6 · 2019: 18 · 2018: 8 · 2017: 7 · 2016: 3 · 2015: 12 · 2014: 9 · 2013: 5
FWCI: 26.77
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
www.elsevier.com/legal/tdmrep-license (tdm)
Locations: Computers in Human Behavior (publishedVersion)
Funders: Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Topics: Social Sciences › Communication › Knowledge Management and Sharing
Physical Sciences › Computer Science › Information Systems › Expert finding and Q&A systems
Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords: epistemic curiosity, online communities, contribution behavior, process-based framework, community participation

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