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Application of social network analysis in knowledge processes
Abstract Social network analysis (SNA) is increasinSocial network analysis (SNA) is increasingly applied to analyze existing knowledge exchange processes in companies. In the past, these processes were mainly analyzed by traditional business process modeling methods. Same of these methods are working with a specific knowledge perspective, e.g. KMDL (Knowledge Modeling and Description Language). The knowledge needs and demands are modeled along knowledge-intensive business processes. The SNA however has no direct reference to processes; here persons with specific relationships (e.g. knowledge exchange) are mainly the object of interest. Therefore a combination of both views - the SNA and knowledge-intensive business process modeling - is valuable. In the following contribution two approaches are introduced to combine social network analysis with the modeling of knowledge intensive business processes based on KMDL. In addition to a theoretical introduction to SNA and KMDL there are two examples introduced, which illustrate the practical implementation of these approaches. In this work in progress traditional techniques like interviews are combined with electronically gathered data. Also by using different perspectives a better understanding of all events in knowledge processes can be extracted.s in knowledge processes can be extracted.
Abstractsub Social network analysis (SNA) is increasinSocial network analysis (SNA) is increasingly applied to analyze existing knowledge exchange processes in companies. In the past, these processes were mainly analyzed by traditional business process modeling methods. Same of these methods are working with a specific knowledge perspective, e.g. KMDL (Knowledge Modeling and Description Language). The knowledge needs and demands are modeled along knowledge-intensive business processes. The SNA however has no direct reference to processes; here persons with specific relationships (e.g. knowledge exchange) are mainly the object of interest. Therefore a combination of both views - the SNA and knowledge-intensive business process modeling - is valuable. In the following contribution two approaches are introduced to combine social network analysis with the modeling of knowledge intensive business processes based on KMDL. In addition to a theoretical introduction to SNA and KMDL there are two examples introduced, which illustrate the practical implementation of these approaches. In this work in progress traditional techniques like interviews are combined with electronically gathered data. Also by using different perspectives a better understanding of all events in knowledge processes can be extracted.s in knowledge processes can be extracted.
Bibtextype inproceedings  +
Has author Mueller C. + , Gronau N. + , Lembcke R. +
Has extra keyword Business process modeling + , Description languages + , Knowledge exchange + , Knowledge modeling + , Knowledge process + , Knowledge-intensive business + , Object of interests + , Practical implementation + , Social Network Analysis + , Specific knowledge + , Traditional techniques + , Wiki + , Work in progress + , Industrial engineering + , Information systems + , Social networking (online) + , Systems engineering + , Knowledge management +
Has keyword Knowledge process + , Modeling method + , Social network analysis + , Wiki +
Language English +
Number of citations by publication 0  +
Number of references by publication 0  +
Published in 16th European Conference on Information Systems, ECIS 2008 +
Title Application of social network analysis in knowledge processes +
Type conference paper  +
Year 2008 +
Creation dateThis property is a special property in this wiki. 6 November 2014 18:12:57  +
Categories Publications without license parameter  + , Publications without DOI parameter  + , Publications without remote mirror parameter  + , Publications without archive mirror parameter  + , Publications without paywall mirror parameter  + , Conference papers  + , Publications without references parameter  + , Publications  +
Modification dateThis property is a special property in this wiki. 6 November 2014 18:12:57  +
DateThis property is a special property in this wiki. 2008  +
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