Yang Cai 0005

dblp:14/5359-5 · DBLP profile ↗
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3ranked-venue papers
3as first author
3since 2021 · last 2026
0000-0002-0408-5852ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 3 · 3 first-author · 3 since 2021
YearPublicationVenuePosition
2026 Gameful Experience Promotes Knowledge Sharing in Social Q&A Communities: A Longitudinal Study
Yang Cai 0005, Xiujun Li, Wendian Shi
Int. J. Hum. Comput. Interact.1
2022 The influence of the community climate on users' knowledge-sharing intention: the social cognitive theory perspective
abstract
The purpose of this paper is to investigate the underlying mechanism of the community climate on knowledge-sharing intention in virtual communities. Based on social cognitive theory, a theoretical model was developed and empirically tested using a web-based survey of 525 members from an online question and answer (Q&A) community in China. Results showed that knowledge-sharing self-efficacy and outcome expectation played a chain mediation role in the relationship between the community climate and knowledge-sharing intention. This study is among the first to examine whether and how community climate influences knowledge sharing. Our research findings unpack the mechanism of the community climate on knowledge-sharing intention, and provide practical insights on how to use community climate to facilitate users to share knowledge in online Q&A communities.
Yang Cai 0005, Wendian Shi
Behav. Inf. Technol.1
2022 A Predictive Model of the Knowledge-Sharing Intentions of Social Q&A Community Members: A Regression Tree Approach
abstract
Previous research on the factors affecting knowledge sharing has focused on the relationships between a limited number of variables. However, it is unclear how these factors interact with each other and jointly influence knowledge-sharing intentions. Drawing on social cognitive theory (SCT), this paper performs a decision tree analysis to predict the knowledge-sharing intentions of social question-and-answer (Q&A) community members based on a multitude of environmental and individual factors, including a sharing culture, motivations, and individual characteristics. Data from 1,007 users were collected, and a regression tree model was built using the R package rpart. The results show that high levels of knowledge-sharing intentions occur among those who strongly enjoyed sharing and who perceived fairness within the community. For those who had a moderate or low level of enjoyment, their willingness to share knowledge was jointly affected by the sharing culture and extrinsic motivations.
Yang Cai 0005, Yongyong Yang, Wendian Shi
Int. J. Hum. Comput. Interact.1