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Identifying groups of entrepreneurial activities at universities

Daniel Fuller, David Pickernell Orcid Logo

International Journal of Entrepreneurial Behavior & Research, Volume: 24, Issue: 1, Pages: 171 - 190

Swansea University Author: David Pickernell Orcid Logo

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Abstract

Purpose – The purpose of this paper is to identify whether the entrepreneurial activities of universities in the UK can be statistically grouped together. Design/methodology/approach – This paper is performing a principal component analysis (PCA) of the 2009/2010 UK Higher Education Business and Com...

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Published in: International Journal of Entrepreneurial Behavior & Research
ISSN: 1355-2554
Published: Emerald 2018
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URI: https://cronfa.swan.ac.uk/Record/cronfa61274
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first_indexed 2022-09-19T09:47:43Z
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spelling 2022-10-12T15:46:01.6866134 v2 61274 2022-09-19 Identifying groups of entrepreneurial activities at universities 913bd73da00d7df4f5038f6f144b235e 0000-0003-0912-095X David Pickernell David Pickernell true false 2022-09-19 BBU Purpose – The purpose of this paper is to identify whether the entrepreneurial activities of universities in the UK can be statistically grouped together. Design/methodology/approach – This paper is performing a principal component analysis (PCA) of the 2009/2010 UK Higher Education Business and Community Interaction Survey (HE-BCIS) data for the third stream activities of universities in the UK.Findings – The PCA of the 144 included institutions identified four groups of entrepreneurial activities being engaged in by universities in the UK. Three of the four groups were related to spin-offs, labelled as “Staff Spin-off Activity”, “Non-HEI Owned Spin-Off Activity” and “Graduate Start-up Activity”. The remaining factor has been named “University Knowledge Exploitation Activity (UKEA)” and encompasses a wide range of university knowledge creation, exchange and exploitation activities.Research limitations/implications – The research indicates, through a ranking system for eachuniversity for the various groups of entrepreneurial activities, that universities are often entrepreneurial in just one or two of the groups of entrepreneurial activities identified by the PCA. Identifying what is causing those differences is required to further understand why we see this variation across the HE sector.Originality/value – The use of a PCA to identify groups of entrepreneurial activities is a novel approach. Typically studies use a select few indicators, such as spin-offs or patents to analyse the entrepreneurial activities of universities. This study uses PCA to group together statistically related activities which can then be used to identify what is driving these groups of activities in future studies. Journal Article International Journal of Entrepreneurial Behavior &amp; Research 24 1 171 190 Emerald 1355-2554 8 1 2018 2018-01-08 10.1108/ijebr-03-2017-0096 COLLEGE NANME Business COLLEGE CODE BBU Swansea University 2022-10-12T15:46:01.6866134 2022-09-19T10:45:35.3130446 Faculty of Humanities and Social Sciences School of Management - Business Management Daniel Fuller 1 David Pickernell 0000-0003-0912-095X 2
title Identifying groups of entrepreneurial activities at universities
spellingShingle Identifying groups of entrepreneurial activities at universities
David Pickernell
title_short Identifying groups of entrepreneurial activities at universities
title_full Identifying groups of entrepreneurial activities at universities
title_fullStr Identifying groups of entrepreneurial activities at universities
title_full_unstemmed Identifying groups of entrepreneurial activities at universities
title_sort Identifying groups of entrepreneurial activities at universities
author_id_str_mv 913bd73da00d7df4f5038f6f144b235e
author_id_fullname_str_mv 913bd73da00d7df4f5038f6f144b235e_***_David Pickernell
author David Pickernell
author2 Daniel Fuller
David Pickernell
format Journal article
container_title International Journal of Entrepreneurial Behavior &amp; Research
container_volume 24
container_issue 1
container_start_page 171
publishDate 2018
institution Swansea University
issn 1355-2554
doi_str_mv 10.1108/ijebr-03-2017-0096
publisher Emerald
college_str Faculty of Humanities and Social Sciences
hierarchytype
hierarchy_top_id facultyofhumanitiesandsocialsciences
hierarchy_top_title Faculty of Humanities and Social Sciences
hierarchy_parent_id facultyofhumanitiesandsocialsciences
hierarchy_parent_title Faculty of Humanities and Social Sciences
department_str School of Management - Business Management{{{_:::_}}}Faculty of Humanities and Social Sciences{{{_:::_}}}School of Management - Business Management
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description Purpose – The purpose of this paper is to identify whether the entrepreneurial activities of universities in the UK can be statistically grouped together. Design/methodology/approach – This paper is performing a principal component analysis (PCA) of the 2009/2010 UK Higher Education Business and Community Interaction Survey (HE-BCIS) data for the third stream activities of universities in the UK.Findings – The PCA of the 144 included institutions identified four groups of entrepreneurial activities being engaged in by universities in the UK. Three of the four groups were related to spin-offs, labelled as “Staff Spin-off Activity”, “Non-HEI Owned Spin-Off Activity” and “Graduate Start-up Activity”. The remaining factor has been named “University Knowledge Exploitation Activity (UKEA)” and encompasses a wide range of university knowledge creation, exchange and exploitation activities.Research limitations/implications – The research indicates, through a ranking system for eachuniversity for the various groups of entrepreneurial activities, that universities are often entrepreneurial in just one or two of the groups of entrepreneurial activities identified by the PCA. Identifying what is causing those differences is required to further understand why we see this variation across the HE sector.Originality/value – The use of a PCA to identify groups of entrepreneurial activities is a novel approach. Typically studies use a select few indicators, such as spin-offs or patents to analyse the entrepreneurial activities of universities. This study uses PCA to group together statistically related activities which can then be used to identify what is driving these groups of activities in future studies.
published_date 2018-01-08T04:20:00Z
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