Abstract

Virtual communities are essential in contemporary social and organizational domains. Their sustainability is largely propelled by members’ contributions, and yet the mechanisms for achieving significant participation remain ambiguous. Grounded in the Technology Acceptance Model, our primary objective is to identify the factors that may predict the intention to participate in a virtual community of practice; secondly, we aim to detect the most influential predictor(s) and the best model. In this paper, we conduct a cross-sectional study with a sample of 114 virtual community participants. Our multiple and weighted regression analyses reveal that technological, personal, and motivational factors sway participation intentions. Nevertheless, a combination of specific factors, interactivity, self-efficacy, and identification, are the most closely related to participation intention. This research offers valuable insights for organizations and community promoters, enhancing member retention and interaction stimulation and thereby constructing sustainable virtual environments through effective community design and management.

Full Text
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