Please use this identifier to cite or link to this item: https://doi.org/10.1016/S1071-5819(03)00087-9
Title: Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities
Authors: Teo, H.-H. 
Chan, H.-C. 
Wei, K.-K.
Zhang, Z.
Keywords: Community adaptivity
Community sustainability
Information accessibility
Sense of belonging
Technology acceptance model
Virtual learning community
Issue Date: 2003
Source: Teo, H.-H., Chan, H.-C., Wei, K.-K., Zhang, Z. (2003). Evaluating information accessibility and community adaptivity features for sustaining virtual learning communities. International Journal of Human Computer Studies 59 (5) : 671-697. ScholarBank@NUS Repository. https://doi.org/10.1016/S1071-5819(03)00087-9
Abstract: Virtual communities have been identified as the "killer applications" on the Internet Information Superhighway. Their impact is increasingly pervasive, with activities ranging from the economic and marketing to the social and educational. Despite their popularity, little is understood as to what factors contribute to the sustainability of virtual communities. This study focuses on a specific type of virtual communities - the virtual learning communities. It employs an experiment to examine the impact of two critical issues in system design - information accessibility and community adaptivity - on the sustainability of virtual learning communities. Adopting an extended Technology Acceptance Model, the experiment exposed 69 subjects to six different virtual learning communities differentiated by two levels of information accessibility and three levels of community adaptivity, solicited their feelings and perceptions, and measured their intentions to use the virtual learning communities. Results indicate that both information accessibility and community adaptivity have significant effects on user perceptions and behavioural intention. Implications for theory and practice are drawn and discussed. © 2003 Elsevier Ltd. All rights reserved.
Source Title: International Journal of Human Computer Studies
URI: http://scholarbank.nus.edu.sg/handle/10635/42520
ISSN: 10715819
DOI: 10.1016/S1071-5819(03)00087-9
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