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Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA

Malcolm Beynon, Paul Jones Orcid Logo, David Pickernell

Entrepreneurship & Regional Development, Volume: 33, Issue: 3-4, Pages: 227 - 248

Swansea University Author: Paul Jones Orcid Logo

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DOI (Published version): 10.1080/08985626.2021.1872936

Abstract

Using a 2019 data set, 236 regions across 26 European countries are investigated, focusing on four, interlinked, conditions of potential relevance to SME innovation, specifically measures focused on levels of human capital, internal firm innovation, innovation collaborations and broader knowledge co...

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Published in: Entrepreneurship & Regional Development
ISSN: 0898-5626 1464-5114
Published: UK Informa UK Limited 2021
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URI: https://cronfa.swan.ac.uk/Record/cronfa56131
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first_indexed 2021-02-12T13:03:58Z
last_indexed 2022-01-29T03:37:03Z
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spelling 2022-01-28T11:24:29.6913787 v2 56131 2021-01-25 Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA 21e2660aaa102fe36fc981880dd9e082 0000-0003-0417-9143 Paul Jones Paul Jones true false 2021-01-25 BBU Using a 2019 data set, 236 regions across 26 European countries are investigated, focusing on four, interlinked, conditions of potential relevance to SME innovation, specifically measures focused on levels of human capital, internal firm innovation, innovation collaborations and broader knowledge collaborations between public and private sectors. The methodology applied uses a configurational approach to elucidate relationships, specifically fuzzy-set Qualitative Comparative Analysis (fsQCA) to evaluate how these conditions affect sales of new-to-market and new-to-firm innovations as a percentage of total turnover for SMEs in each region against the EU 2019 average (NMFS). In addition to existence of the classic ‘core’ region ‘innovation ecosystem’ recipe, having presence of three of the four conditions (in-house innovation being non-relevant), analysis reveals innovation policy may require specific tailoring in certain types of regions. This suggests greater collaboration is required to overcome more extensive absence of other parts of the Regional Innovation System, in-house innovation required to overcome lack of education alone. The main contributions of the research are to generate a more comprehensive evaluation of the complexity of innovation at the regional level, graphical ‘map’ based elucidation of findings also contributing to establishing a baseline for future analysis for European regions’ SME-innovation performance. Journal Article Entrepreneurship & Regional Development 33 3-4 227 248 Informa UK Limited UK 0898-5626 1464-5114 SMEs; innovation; european regions; fsQCA; collaboration; knowledge base; absorptive capacity 15 3 2021 2021-03-15 10.1080/08985626.2021.1872936 COLLEGE NANME Business COLLEGE CODE BBU Swansea University Not Required 2022-01-28T11:24:29.6913787 2021-01-25T16:03:50.1011074 School of Management Business Malcolm Beynon 1 Paul Jones 0000-0003-0417-9143 2 David Pickernell 3 Under embargo Under embargo 2021-02-15T09:39:46.7716801 Output 758477 application/pdf Accepted Manuscript true 2022-07-21T00:00:00.0000000 Released under the terms of a CC BY-NC license true eng https://creativecommons.org/licenses/by-nc/4.0/
title Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA
spellingShingle Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA
Paul Jones
title_short Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA
title_full Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA
title_fullStr Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA
title_full_unstemmed Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA
title_sort Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA
author_id_str_mv 21e2660aaa102fe36fc981880dd9e082
author_id_fullname_str_mv 21e2660aaa102fe36fc981880dd9e082_***_Paul Jones
author Paul Jones
author2 Malcolm Beynon
Paul Jones
David Pickernell
format Journal article
container_title Entrepreneurship & Regional Development
container_volume 33
container_issue 3-4
container_start_page 227
publishDate 2021
institution Swansea University
issn 0898-5626
1464-5114
doi_str_mv 10.1080/08985626.2021.1872936
publisher Informa UK Limited
college_str School of Management
hierarchytype
hierarchy_top_id schoolofmanagement
hierarchy_top_title School of Management
hierarchy_parent_id schoolofmanagement
hierarchy_parent_title School of Management
department_str Business{{{_:::_}}}School of Management{{{_:::_}}}Business
document_store_str 0
active_str 0
description Using a 2019 data set, 236 regions across 26 European countries are investigated, focusing on four, interlinked, conditions of potential relevance to SME innovation, specifically measures focused on levels of human capital, internal firm innovation, innovation collaborations and broader knowledge collaborations between public and private sectors. The methodology applied uses a configurational approach to elucidate relationships, specifically fuzzy-set Qualitative Comparative Analysis (fsQCA) to evaluate how these conditions affect sales of new-to-market and new-to-firm innovations as a percentage of total turnover for SMEs in each region against the EU 2019 average (NMFS). In addition to existence of the classic ‘core’ region ‘innovation ecosystem’ recipe, having presence of three of the four conditions (in-house innovation being non-relevant), analysis reveals innovation policy may require specific tailoring in certain types of regions. This suggests greater collaboration is required to overcome more extensive absence of other parts of the Regional Innovation System, in-house innovation required to overcome lack of education alone. The main contributions of the research are to generate a more comprehensive evaluation of the complexity of innovation at the regional level, graphical ‘map’ based elucidation of findings also contributing to establishing a baseline for future analysis for European regions’ SME-innovation performance.
published_date 2021-03-15T04:11:33Z
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score 10.919533

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