Trust without touch: jumpstarting long-distance trust with initial social activities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Working Knowledge: How Organizations Manage What They Know
Working Knowledge: How Organizations Manage What They Know
Community-Building with Web-Based Systems -- Investigating a Hybrid Community of Students
Computer Supported Cooperative Work
Is anybody out there?: antecedents of trust in global virtual teams
Journal of Management Information Systems - Special section: Managing virtual workplaces and teleworking with information technology
International Journal of Human-Computer Studies
Journal of Management Information Systems
A study of the intention–action gap in knowledge sharing practices
Journal of the American Society for Information Science and Technology
Predicting knowledge sharing practices through intention: A test of competing models
Computers in Human Behavior
Breaking the Myths of Rewards: An Exploratory Study of Attitudes about Knowledge Sharing
Information Resources Management Journal
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Self-regulation involves a triadic interplay among personal beliefs, individual behavior, and environment that both proactively and reactively influences one's adjustment of efforts, courses of action, and attainment of goals to reach the anticipated outcomes. In this study, we propose and validate a self-regulation model that explores the effects of social capital and social cognitive factors on knowledge-sharing behavior. The results demonstrate that members of an online knowledge communities regulate his or her internal motivation, external demands, interpersonal relationships, help-seeking strategies, as well as confidence of capability in utilizing social resources and performing knowledge sharing task. Through a stronger sense of community, emotional attachment and empathic concern about others' needs, members develop a high level of professional competence to collaborate with others and adequate efficacious beliefs to emotionally and instrumentally help others. The implications to both research and practice are discussed to enhance the understanding and effectiveness of self-regulation in the realm of knowledge management.