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Strategic choices of Finnish universities in the light of general strategy frameworks

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Luoma, M., Risikko, T., & Erkkilä, P. (2016). Strategic choices of Finnish universities in the light of general strategy frameworks. European Journal of Higher Education, 6 (4), 343-355. doi:10.1080/21568235.2016.1224672
Published in
European Journal of Higher Education
Authors
Luoma, Mikko |
Risikko, Tanja |
Erkkilä, Paula
Date
2016
Discipline
Chydenius-instituutti
Copyright
© 2016 Informa UK Limited, trading as Taylor & Francis Group. This is a final draft version of an article whose final and definitive form has been published by Taylor & Francis. Published in this repository with the kind permission of the publisher.

 
This study examines university strategies from the content perspective. Since the early 1980s, the pressure to adopt strategic management in universities and other higher education institutions has increased because of issues including reduced public funding, pressures and possibilities for internationalization, developments in teaching technologies, and demands for increased accountability to stakeholders. The study employs content analysis and multivariate statistical techniques to examine the written strategies of 13 Finnish universities formulated after the University Act 2010 that aimed at enhancing their competitiveness in the global arena. The studied organizations cover practically Finland’s entire university sector. As a novel tool, the study introduces visual presentations of strategy and investigates to what degree the strategies conform to general content strategy frameworks, such as generic competitive strategies, strategic types, and value disciplines. The results indicate only light conformity with such frameworks. Finally, the study discusses the implications of these findings for both researchers and practitioners of management in the higher education sector. ...
Publisher
Taylor & Francis Group
ISSN Search the Publication Forum
2156-8235
Keywords
strategy strategic choices visual mapping content analysis multidimensional scaling
DOI
10.1080/21568235.2016.1224672
URI

http://urn.fi/URN:NBN:fi:jyu-201701301316

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