Virtual Knowledge Communities

Matthias Trier

ISBN 10: 3639408454 / ISBN 13: 9783639408454

Editore: AV Akademikerverlag Mai 2012, 2012

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Neuware -Revision with unchanged content. Knowledge work is mainly based on task- or topic-related communication among employees. Much of their time is allocated for searching and maintaining helpful contacts for specific business questions. By that, large yet invisible relationship networks develop. Understanding and utilizing such communities leverages the efficiency of knowledge transfer and collaboration in a company. Based on detailed foundations of Knowledge Management and Communities of Practice, this book shows that organizations are essentially knowledge networks of communication. Taking this perspective, a detailed procedure for IT-supported network analysis of knowledge communities based on their communication is introduced together with the required Social Network Intelligence Software. Using a transparent visual network model and a comprehensive network measurement system, the approach integrates methods from Dynamic Social Network Analysis, Information Visualization, and Text Mining to identify, monitor and analyze networks. Four practical cases demonstrate how this helps to identify important information bottle necks, important people, clusters, emerging topics, or lifecycles in knowledge communities. The book targets community moderators, corporate managers with a focus on groups and knowledge work, and researchers or students of network analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 288 pp. Englisch.

Codice articolo 9783639408454

Dati bibliografici

• Titolo: Virtual Knowledge Communities
• Editore: AV Akademikerverlag Mai 2012
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3639408454
• ISBN 13: 9783639408454
• Rilegatura: Taschenbuch
• Condizione: Neu

Descrizione articolo

Riassunto

Revision with unchanged content. Knowledge work is mainly based on task- or topic-related communication among employees. Much of their time is allocated for searching and main­tai­ning helpful contacts for specific business questions. By that, large yet in­vi­sible relationship networks develop. Understanding and utilizing such com­mu­nities leverages the efficiency of knowledge transfer and collaboration in a com­pany. Based on detailed foundations of Knowledge Management and Communities of Practice, this book shows that organizations are essentially knowledge net­works of communication. Taking this perspective, a detailed procedure for IT-supported network analysis of knowledge communities based on their com­mu­nication is introduced together with the required Social Network In­tel­li­gence Software. Using a transparent visual network model and a com­pre­hen­sive network measurement system, the approach integrates methods from Dy­namic Social Network Analysis, Information Visualization, and Text Mining to identify, monitor and analyze networks. Four practical cases demonstrate how this helps to identify important information bottle necks, important people, clusters, emerging topics, or lifecycles in knowledge communities. The book targets community moderators, corporate managers with a focus on groups and knowledge work, and researchers or students of network ana­ly­sis.

Informazioni sull?autore

Dr.-Ing., Dipl.-Kfm., Master in Economics, PhD in Computer Science with a focus on network visualization and analysis. Senior Researcher at TU Berlin. Head of IKMResearch.de, working on virtual networks, knowledge work, and e-learning production both in research and corporate projects. Founder of SNI Software Commetrix.de.