Inter-organisational knowledge sharing in regional sustainable development communities

van der Meer, Rosemary, Torlina, Luba and Mustard, Jamie 2013, Inter-organisational knowledge sharing in regional sustainable development communities, International Journal of Information Technology and Management, vol. 12, no. 3/4, pp. 252-272.

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Title Inter-organisational knowledge sharing in regional sustainable development communities
Author(s) van der Meer, Rosemary
Torlina, Luba
Mustard, Jamie
Journal name International Journal of Information Technology and Management
Volume number 12
Issue number 3/4
Start page 252
End page 272
Total pages 20
Publisher Inderscience Publishers
Place of publication Olney, England
Publication date 2013
ISSN 1461-4111
1741-5179
Keyword(s) Inter-organisational knowledge sharing
Collaboration
SNA
Social network analysis
Inter-organisational groups
Local expertise
Local knowledge
Sustainability
Regional knowledge communities
Regional sustainable development
Summary There has been an increasing interest in the use of inter-organisational groups to address regional implications in sustainable development. These groups bring together local knowledge and expertise and span boundaries between government and industry organisations. Our focus is in understanding how knowledge is shared in such inter-organisational groups. Utilising interviews, observations and social network analysis, we examine the knowledge sharing implications derived from the mixed membership, multilevel interaction, and the need to span boundaries with external organisations in these collaborations.
Language eng
Field of Research 089999 Information and Computing Sciences not elsewhere classified
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2013, Inderscience Publishers
Persistent URL http://hdl.handle.net/10536/DRO/DU:30060200

Document type: Journal Article
Collection: School of Information and Business Analytics
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