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ERIC Number: EJ905344
Record Type: Journal
Publication Date: 2010-Nov
Pages: 13
Abstractor: As Provided
Reference Count: 44
ISSN: ISSN-1476-7333
Evaluating Action Learning: A Critical Realist Complex Network Theory Approach
Burgoyne, John G.
Action Learning: Research and Practice, v7 n3 p239-251 Nov 2010
This largely theoretical paper will argue the case for the usefulness of applying network and complex adaptive systems theory to an understanding of action learning and the challenge it is evaluating. This approach, it will be argued, is particularly helpful in the context of improving capability in dealing with wicked problems spread around complex systems and networks. Network theory is the general proposition that the world can be understood as a system of nodes or links at recursive levels (individuals, groups/departments, organisations, clusters and industries etc.) and includes, but is by no means limited to, social networking. The paper will argue that action learning can help organisations and groups, understood as networks, balance the destabilising tendencies to explosion and implosion, and, rightly used, can help prevent network distortion (over-dominance of one group of stakeholders). (Contains 7 figures.)
Routledge. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site:
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United Kingdom; United Kingdom (England)