Journal article 129 views
Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA / Malcolm Beynon, Paul Jones, David Pickernell
Entrepreneurship & Regional Development, Volume: 33, Issue: 3-4, Pages: 227 - 248
Swansea University Author: Paul Jones
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...
| 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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<?xml version="1.0"?><rfc1807><datestamp>2021-05-24T16:09:44.1578335</datestamp><bib-version>v2</bib-version><id>56131</id><entry>2021-01-25</entry><title>Innovation and the knowledge-base for entrepreneurship: investigating SME innovation across European regions using fsQCA</title><swanseaauthors><author><sid>21e2660aaa102fe36fc981880dd9e082</sid><ORCID>0000-0003-0417-9143</ORCID><firstname>Paul</firstname><surname>Jones</surname><name>Paul Jones</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2021-01-25</date><deptcode>BBU</deptcode><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 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.</abstract><type>Journal Article</type><journal>Entrepreneurship & Regional Development</journal><volume>33</volume><journalNumber>3-4</journalNumber><paginationStart>227</paginationStart><paginationEnd>248</paginationEnd><publisher>Informa UK Limited</publisher><placeOfPublication>UK</placeOfPublication><isbnPrint/><isbnElectronic/><issnPrint>0898-5626</issnPrint><issnElectronic>1464-5114</issnElectronic><keywords>SMEs; innovation; european regions; fsQCA; collaboration; knowledge base; absorptive capacity</keywords><publishedDay>15</publishedDay><publishedMonth>3</publishedMonth><publishedYear>2021</publishedYear><publishedDate>2021-03-15</publishedDate><doi>10.1080/08985626.2021.1872936</doi><url/><notes/><college>COLLEGE NANME</college><department>Business</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BBU</DepartmentCode><institution>Swansea University</institution><apcterm>Not Required</apcterm><lastEdited>2021-05-24T16:09:44.1578335</lastEdited><Created>2021-01-25T16:03:50.1011074</Created><path><level id="1">School of Management</level><level id="2">Business</level></path><authors><author><firstname>Malcolm</firstname><surname>Beynon</surname><order>1</order></author><author><firstname>Paul</firstname><surname>Jones</surname><orcid>0000-0003-0417-9143</orcid><order>2</order></author><author><firstname>David</firstname><surname>Pickernell</surname><order>3</order></author></authors><documents><document><filename>Under embargo</filename><originalFilename>Under embargo</originalFilename><uploaded>2021-02-15T09:39:46.7716801</uploaded><type>Output</type><contentLength>758477</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2022-07-21T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect><language>eng</language></document></documents><OutputDurs/></rfc1807> |
| spelling |
2021-05-24T16:09:44.1578335 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 2021-05-24T16:09:44.1578335 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 true eng |
| 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 |
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21e2660aaa102fe36fc981880dd9e082 |
| author_id_fullname_str_mv |
21e2660aaa102fe36fc981880dd9e082_***_Paul, Jones |
| author |
Paul, Jones |
| author2 |
Malcolm Beynon Paul Jones David Pickernell |
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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 |
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| 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 |
2021-03-15T04:20:09Z |
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1714741375433441280 |
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10.830325 |