Performing knowledge requirements analysis for public organisations in a Virtual Learning Environment: a social network analysis approach

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Fontenele, M. P., Sampaio, R. B., da Silva, A. I. B., Fernandes, J. H. C. and Sun, L. (2014) Performing knowledge requirements analysis for public organisations in a Virtual Learning Environment: a social network analysis approach. Journal of Information Technology & Software Engineering, 4 (2). 134. ISSN 2165-7866 doi: 10.4172/2165-7866.1000134

Abstract/Summary

This paper describes an application of Social Network Analysis methods for identification of knowledge demands in public organisations. Affiliation networks established in a postgraduate programme were analysed. The course was executed in a distance education mode and its students worked on public agencies. Relations established among course participants were mediated through a virtual learning environment using Moodle. Data available in Moodle may be extracted using knowledge discovery in databases techniques. Potential degrees of closeness existing among different organisations and among researched subjects were assessed. This suggests how organisations could cooperate for knowledge management and also how to identify their common interests. The study points out that closeness among organisations and research topics may be assessed through affiliation networks. This opens up opportunities for applying knowledge management between organisations and creating communities of practice. Concepts of knowledge management and social network analysis provide the theoretical and methodological basis.

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Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/39276
Identification Number/DOI	10.4172/2165-7866.1000134
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
Uncontrolled Keywords	Case study; Communities of practice; Interorganisational; Knowledge analytics; Knowledge management; Social network analysis
Publisher	OMICS International
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Date Deposited:	17 Feb 2015 11:50	Date item deposited into CentAUR
Last Modified:	23 Jun 2024 04:26	Date item last modified

References

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