In the modern knowledge-driven workplace, organizations strive to harness collective intelligence through social computing tools like Enterprise Social Tagging Tools (ESTTs). Yet many of these efforts fail-not due to technology-but because employees hesitate to engage, contribute, or share knowledge. This book explores the critical social, technical, and organizational factors that influence employee participation in ESTTs. Drawing from an extensive literature review and two comprehensive research phases, it introduces and validates a conceptual model that explains tagging behavior. The study uniquely integrates knowledge-seeking and knowledge-contribution perspectives and employs established theories like TRA, TPB, TAM, and social exchange theory. Based on data from nearly 500 IT professionals, the findings highlight the roles of enjoyment, ease of use, managerial influence, altruism, and tag retrievability. Ideal for researchers, practitioners, and organizational leaders, this book delivers actionable insights into unlocking the power of enterprise knowledge sharing.
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