Cetto, Alexandra and Klier, Mathias and Richter, Alexander and Zolitschka, Jan Felix (2018) Thanks for sharing-Identifying users' roles based on knowledge contribution in Enterprise Social Networks. COMPUTER NETWORKS, 135. pp. 275-288. ISSN 1389-1286, 1872-7069
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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 consisting of three steps, namely "message classification", "identification of users' roles" as well as "characterization of users' roles". We apply the approach to a dataset from a multinational consulting company, which allows us to identify three user roles based on their knowledge contribution in messages: givers, takers, and matchers. Going beyond this categorization, our data shows that whereas the majority of messages aims to share knowledge, matchers, that means people that give and take, are a central element of the network. In conclusion, the development and application of a new methodological approach allows us to contribute to a more refined understanding of users' knowledge exchanging behavior in Enterprise Social Networks which can ultimately help companies to take measures to improve their knowledge management. (C) 2018 Elsevier B.V. All rights reserved.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | ELECTRONIC NETWORKS; SEEKING; MEDIA; CLASSIFICATION; REPOSITORIES; COMMUNITIES; RELIABILITY; EVOLUTION; FRAMEWORK; BEHAVIOR; Enterprise Social Networks; User roles; Knowledge contribution; Knowledge sharing; Knowledge seeking |
| Subjects: | 300 Social sciences > 330 Economics |
| Divisions: | Business, Economics and Information Systems > Institut für Wirtschaftsinformatik > Lehrstuhl für Wirtschaftsinformatik II (Prof. Dr. Bernd Heinrich) |
| Depositing User: | Dr. Gernot Deinzer |
| Date Deposited: | 20 Mar 2020 07:12 |
| Last Modified: | 20 Mar 2020 07:12 |
| URI: | https://pred.uni-regensburg.de/id/eprint/14712 |
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