On visualizing knowledge flows at a university department
Open accessAbstract
The analysis of dynamic network data has become an increasingly relevant research issue, showing a high potential for applied use in organizations. To unlock its potential also for the target user group of non-domain experts, we introduce a software prototype, which provides different views on network dynamics, intertwining network analytical measures with options of visual exploration. To demonstrate, how this approach can provide new access to questions of knowledge management and accessibility, a case study of a university department will be discussed. By combining multi-relational data of communication networks with attribute data of individual knowledge domains, we show how essential knowledge and change management issues can be reframed from a social network perspective and further developed towards integrated applications in organizations.
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Knowledge can be characterized along various dimensions, from explicit knowledge to tacit knowledge.
“Knowledge can be characterized along various dimensions (Windhager et al., 2013), from explicit knowledge to tacit knowledge (Kogut & Zander, 1992;Nonaka & Von Krogh, 2009;Nonaka, 1994;Polanyi, 1962).”
From Linking knowledge management, organizational learning and memory (2020) · cites this paper as Windhager et al., 2013
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Linking knowledge management, organizational learning and memory
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- Authors
- Windhager, F., Smuc, M., Zenk, L., Federico, P., Pfeffer, J., & Aigner, W.
- Affiliations
- Universität für Weiterbildung Krems (AT)
- TU Wien (AT)
- Carnegie Mellon University (US)
- Venue
- Procedia - Social and Behavioral Sciences
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 100
- Pages
- 127-143
- ISSN
- 1877-0428 (ISSN-L)
- OpenAlex
- W2038256153
- Cited by
- 2
- References
- 45
- Citations by year
- 2019: 1 · 2014: 1
- FWCI
- 0.31
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Procedia - Social and Behavioral Sciences (publishedVersion, cc-by-nc-nd)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Social Sciences › Communication › Knowledge Management and Sharing
- Keywords
- knowledge flows, knowledge management, dynamic network analysis, network visualization, communication networks, knowledge domains, change management, academic departments, software prototype, social networks
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