398
Views
2
CrossRef citations to date
0
Altmetric
Article

Engaging staff communities in a knowledge transfer strategy: a case study at the University of Melbourne

Pages 285-294 | Published online: 06 Jun 2012
 

Abstract

Within the framework of the strategic journey undertaken between 2005 and 2010, this paper seeks to examine how the University of Melbourne sought to differentiate itself through the introduction and reconceptualisation of a ‘third stream’ of academic work. Specifically, this paper seeks to investigate, through qualitative methods, how those in leadership roles in diverse areas of the University understood and operationalised knowledge transfer as a new strategic priority from 2006; and the approaches taken leading to the University's (subsequently refined) view of third stream activity as engagement. This paper also argues that there were multiple barriers to introducing and implementing the new strategy. However, once personal linkages were created between the changed strategy and scholarly life, an organisational story developed with the potential benefits leading to opportunities through mission differentiation, without the risk of unsustainable organisational resource demands. Finally, this paper concludes that significant change is not easy, but it is possible.

Acknowledgement

This paper is based on the author's project report, prepared while studying at the LH Martin Institute's Master of Tertiary Education Management programme in 2010.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 404.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.