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dc.contributor.author
Fellnhofer, Katharina
dc.date.accessioned
2021-01-21T09:56:32Z
dc.date.available
2021-01-04T17:10:10Z
dc.date.available
2021-01-21T09:56:32Z
dc.date.issued
2017
dc.identifier.issn
2040-4468
dc.identifier.issn
2040-4476
dc.identifier.other
10.1504/IJKBD.2017.086407
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/459159
dc.description.abstract
The aim of this paper is to present an overview of the applied research methods that have been used to examine smart specialisation. For this review, papers from various sources were collected and reviewed multiple times. The findings show that only a few papers applied mixed research methods. Primarily, there are more qualitative than quantitative methods used among papers concerning smart specialisation. More efforts to use mixed methods in smart specialisation could yield findings that are applicable to knowledge-based policymaking. To further illuminate the research discipline of smart specialisation, applying advanced, quantitative research techniques would enrich future efforts of all quadruple helix stakeholders engaged in smart specialisation. © 2017 Inderscience Enterprises Ltd.
en_US
dc.language.iso
en
en_US
dc.publisher
Inderscience Publishers
en_US
dc.subject
Smart specialisation
en_US
dc.subject
Literature review
en_US
dc.subject
Knowledge-based policy making
en_US
dc.subject
Research and innovation strategies
en_US
dc.title
Evidence revisited: literature on smart specialisation calls for more mixed research designs
en_US
dc.type
Journal Article
dc.date.published
2017-09-13
ethz.journal.title
International Journal of Knowledge-Based Development
ethz.journal.volume
8
en_US
ethz.journal.issue
3
en_US
ethz.pages.start
229
en_US
ethz.pages.end
248
en_US
ethz.publication.place
Olney
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::03738 - Sornette, Didier / Sornette, Didier
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::09704 - Renold, Ursula / Renold, Ursula
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02120 - Dep. Management, Technologie und Ökon. / Dep. of Management, Technology, and Ec.::09704 - Renold, Ursula / Renold, Ursula
ethz.date.deposited
2021-01-04T17:10:17Z
ethz.source
BATCH
ethz.eth
no
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2021-01-21T09:56:40Z
ethz.rosetta.lastUpdated
2021-01-21T09:56:40Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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