Digital Social Learning – How to Enhance Serious Gaming for Collaborative Networks - Collaboration in a Data-Rich World
Conference Papers Year : 2017

Digital Social Learning – How to Enhance Serious Gaming for Collaborative Networks

Christian Zinke
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Julia Friedrich
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Abstract

Virtual organizations and enterprises are prominent examples for collaborative networks (CN). Trends like Web 2.0 and Social Media refine the technological base of CN, namely through enterprise social networks (ESN). To strengthen knowledge management and through it the innovation capabilities of CN, further research on supporting knowledge exchange and social learning within ESN is needed. Approaches like serious gaming or digital social learning already tackle this problem. However, there is still a significant lack in integrated approaches, concepts or tools for ESN and digital social learning. In order to address this issue, within the work presented in this paper a design research approach has been chosen to consider the lack of methodological clearness of the iteration process. Thus, the paper will firstly introduce a framework for the iteration process of design research and secondly show first insights on how to integrate ESN and digital social learning.
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hal-01674898 , version 1 (03-01-2018)

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Christian Zinke, Julia Friedrich. Digital Social Learning – How to Enhance Serious Gaming for Collaborative Networks. 18th Working Conference on Virtual Enterprises (PROVE), Sep 2017, Vicenza, Italy. pp.669-677, ⟨10.1007/978-3-319-65151-4_59⟩. ⟨hal-01674898⟩
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