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Analysis of informal communication networks - a case study

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Show simple item record Schoder, Detlef en_US Gloor, Peter A. en_US Fischbach, Kai en_US 2009-10-19T13:22:53Z 2009-10-19T13:22:53Z 2009-04 en_US 2008-05 en_US
dc.identifier.issn 1867-0202 en_US
dc.description.abstract The structure and dynamics of informal communication networks are of central importance for the functionality of enterprise workflows and for performance and innovation of knowledge-centric organizations. While most executives are aware of this fact, there is a general lack of (semi-) automated, IT-supported methods and instruments to make informal communication networks measurable. Although logging of electronic communications has made considerable progress over the past few years, it is still extremely difficult to map personal interaction; manual approaches in particular are extremely error-prone. The article shows how informal communication networks can be investigated by IT-based methods. At the same time, the authors will be presenting an instrument (“Social Badges”) that collects personal communications automatically and more precisely than legacy approaches allow. The practical applicability of the approach is evaluated through a case study. en_US
dc.language.iso en_US en_US
dc.publisher Gabler Verlag en_US
dc.relation.isversionof en_US
dc.rights Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. en_US
dc.rights.uri en_US
dc.source Peter Gloor en_US
dc.subject social badges en_US
dc.subject knowledge worker en_US
dc.subject communications analysis en_US
dc.subject informal communications en_US
dc.subject analysis of social networks en_US
dc.subject communication networks en_US
dc.title Analysis of informal communication networks - a case study en_US
dc.type Article en_US
dc.identifier.citation K. Fischbach, P.A. Gloor, and D. Schoder, “Analysis of Informal Communication Networks – A Case Study,” Business & Information Systems Engineering, vol. 1, Apr. 2009, pp. 140-149. en_US
dc.contributor.department Massachusetts Institute of Technology. Center for Collective Intelligence en_US
dc.contributor.approver Gloor, Peter A. en_US
dc.contributor.mitauthor Gloor, Peter A. en_US
dc.relation.journal Business & Information Systems Engineering en_US
dc.identifier.mitlicense SPRINGER_OTHER en_US
dc.eprint.version Author's final manuscript
dc.type.uri en_US
eprint.status en_US
dspace.orderedauthors Fischbach, Kai; Gloor, Peter A.; Schoder, Detlef en

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