Applying territorial innovation models to less favoured regions in Western Newfoundland ...
Less favoured regions are struggling to adapt to global competition within the knowledge-based economy. Territorial Innovation Models (TIMs), particularly regional innovation systems and entrepreneurial ecosystems, suggest that entrepreneurial startups compete on their ability to innovate. However,...
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Memorial University of Newfoundland
2022
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ftdatacite:10.48336/56dc-ed14 2023-05-15T17:22:10+02:00 Applying territorial innovation models to less favoured regions in Western Newfoundland ... Carter, Ken 2022 https://dx.doi.org/10.48336/56dc-ed14 https://research.library.mun.ca/15756/ en eng Memorial University of Newfoundland Text ScholarlyArticle article-journal 2022 ftdatacite https://doi.org/10.48336/56dc-ed14 2023-04-03T16:55:00Z Less favoured regions are struggling to adapt to global competition within the knowledge-based economy. Territorial Innovation Models (TIMs), particularly regional innovation systems and entrepreneurial ecosystems, suggest that entrepreneurial startups compete on their ability to innovate. However, less favoured regions and resource-based economies struggle with applying lessons from these models that are tech focused, urban centric and oriented to high growth firms. The question arises as to what TIMs have to say in support of innovation and entrepreneurship in less favoured regions? The quadruple helix and regional innovation systems (RIS) suggest interactions between university research, government support, community partners and industry to increase collaboration to maximize local development. In less favoured regions, key partners are either absent or in a weakened state. Entrepreneurial ecosystems call for entrepreneurs to lead local entrepreneurial efforts to allow new startups to emerge and create ... Text Newfoundland DataCite Metadata Store (German National Library of Science and Technology) |
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Less favoured regions are struggling to adapt to global competition within the knowledge-based economy. Territorial Innovation Models (TIMs), particularly regional innovation systems and entrepreneurial ecosystems, suggest that entrepreneurial startups compete on their ability to innovate. However, less favoured regions and resource-based economies struggle with applying lessons from these models that are tech focused, urban centric and oriented to high growth firms. The question arises as to what TIMs have to say in support of innovation and entrepreneurship in less favoured regions? The quadruple helix and regional innovation systems (RIS) suggest interactions between university research, government support, community partners and industry to increase collaboration to maximize local development. In less favoured regions, key partners are either absent or in a weakened state. Entrepreneurial ecosystems call for entrepreneurs to lead local entrepreneurial efforts to allow new startups to emerge and create ... |
format |
Text |
author |
Carter, Ken |
spellingShingle |
Carter, Ken Applying territorial innovation models to less favoured regions in Western Newfoundland ... |
author_facet |
Carter, Ken |
author_sort |
Carter, Ken |
title |
Applying territorial innovation models to less favoured regions in Western Newfoundland ... |
title_short |
Applying territorial innovation models to less favoured regions in Western Newfoundland ... |
title_full |
Applying territorial innovation models to less favoured regions in Western Newfoundland ... |
title_fullStr |
Applying territorial innovation models to less favoured regions in Western Newfoundland ... |
title_full_unstemmed |
Applying territorial innovation models to less favoured regions in Western Newfoundland ... |
title_sort |
applying territorial innovation models to less favoured regions in western newfoundland ... |
publisher |
Memorial University of Newfoundland |
publishDate |
2022 |
url |
https://dx.doi.org/10.48336/56dc-ed14 https://research.library.mun.ca/15756/ |
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Newfoundland |
genre_facet |
Newfoundland |
op_doi |
https://doi.org/10.48336/56dc-ed14 |
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1766108602012008448 |