Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities

By Hock Hai Teo, Hock Chuan Chan, Kwok Kee Wei, Zhongju Zhang. Int. J. Hum. Comput. Stud., 2003

299 citations recorded by the source corpus.

Subfields: Communication, Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/98a63e30d42a742bd1e12773a4a96c59c4146949

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Citations in the corpus

Understanding sustained participation in transactional virtual communities (2012, background): “Sustainability of virtual communities is an important criterion for measuring the success of VCs (Koh et al., 2007; Teo et al., 2003).”
The role of online and offline features in sustaining virtual communities: an empirical study (2007, methodology): “Sense of belonging to a virtual community was measured by Teo et al. (2003) method, in which subjects are asked to indicate if they felt strong sense of being part of the virtual community, commitment to the virtual community and strong morale among members of the virtual community.”
Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theories (2006, background): “The impact of virtual communities is increasingly pervasive, with activities ranging from the economic and marketing to the social and educational [70].”
A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects (2007, methodology): “And it has been used in Western cultures [2] [37] [63] and others [33] [51] [87].”
Determinants of successful virtual communities: Contributions from system characteristics and social factors (2008, methodology): “’s method [24], in which respondents showed if they strongly felt they were a part of the virtual community having strong morale among members.”
Understanding Online Community User Participation: A Social Influence Perspective (2011, background): “As noted earlier, previous research has used multiple theories including TAM, trust theory, commitment theory, social cognition theory, social capital theory and social network theory to explore online community user behavior.”