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“Thanks for sharing”—Identifying users’ roles based on knowledge contribution in Enterprise Social Networks

Cetto, Alexandra ; Klier, Mathias ; Richter, Alexander ; Zolitschka, Jan Felix



Abstract

While ever more companies use Enterprise Social Networks for knowledge management, there is still a lack of understanding of users' knowledge exchanging behavior. In this context, it is important to be able to identify and characterize users who contribute and communicate their knowledge in the network and help others to get their work done. In this paper, we propose a new methodological approach ...

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