Biomedical entrepreneurship in U.S. regions
Entrepreneurial ecosystem researchers generally focus on the few dominant factors affecting entrepreneurship. Insufficient attention has been paid to the interdependencies among regional conditions within an entrepreneurial ecosystem. We focus on the collective effects of factors for regional biomed...
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Veröffentlicht in: | The Journal of technology transfer 2024-04, Vol.49 (2), p.782-800 |
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description | Entrepreneurial ecosystem researchers generally focus on the few dominant factors affecting entrepreneurship. Insufficient attention has been paid to the interdependencies among regional conditions within an entrepreneurial ecosystem. We focus on the collective effects of factors for regional biomedical entrepreneurship. We use the fuzzy-set qualitative comparative analysis (fsQCA) method to identify sets of regional conditions promoting biomedical entrepreneurship in all 381 U.S. metropolitan areas. The results indicate three configurations contributing to high levels of regional biomedical entrepreneurship: the first one combines public sector biomedical R&D, biomedical patents, and human capital, thus stressing science conditions and related human capital; the second combines public sector biomedical R&D, biomedical patents, clinical trials, and venture capital, thus placing more emphasis on the regional infrastructure sustaining entrepreneurial activity; the third combines private sector biomedical R&D, biomedical patents, human capital, per capita income, population density, and venture capital, thus emphasizing the private sector’s role on boosting regional biomedical entrepreneurship. There is no single recipe for a region to increase its level of biomedical entrepreneurship. |
doi_str_mv | 10.1007/s10961-023-09996-8 |
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The results indicate three configurations contributing to high levels of regional biomedical entrepreneurship: the first one combines public sector biomedical R&D, biomedical patents, and human capital, thus stressing science conditions and related human capital; the second combines public sector biomedical R&D, biomedical patents, clinical trials, and venture capital, thus placing more emphasis on the regional infrastructure sustaining entrepreneurial activity; the third combines private sector biomedical R&D, biomedical patents, human capital, per capita income, population density, and venture capital, thus emphasizing the private sector’s role on boosting regional biomedical entrepreneurship. 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Insufficient attention has been paid to the interdependencies among regional conditions within an entrepreneurial ecosystem. We focus on the collective effects of factors for regional biomedical entrepreneurship. We use the fuzzy-set qualitative comparative analysis (fsQCA) method to identify sets of regional conditions promoting biomedical entrepreneurship in all 381 U.S. metropolitan areas. The results indicate three configurations contributing to high levels of regional biomedical entrepreneurship: the first one combines public sector biomedical R&D, biomedical patents, and human capital, thus stressing science conditions and related human capital; the second combines public sector biomedical R&D, biomedical patents, clinical trials, and venture capital, thus placing more emphasis on the regional infrastructure sustaining entrepreneurial activity; the third combines private sector biomedical R&D, biomedical patents, human capital, per capita income, population density, and venture capital, thus emphasizing the private sector’s role on boosting regional biomedical entrepreneurship. There is no single recipe for a region to increase its level of biomedical entrepreneurship.</description><subject>Biomedical research</subject><subject>Biotechnology industry</subject><subject>Business and Management</subject><subject>Clinical trials</subject><subject>Commercial Law</subject><subject>Comparative analysis</subject><subject>Economic Growth</subject><subject>Entrepreneurs</subject><subject>Entrepreneurship</subject><subject>Fuzzy sets</subject><subject>Human capital</subject><subject>Identification methods</subject><subject>Industrial Organization</subject><subject>Innovation/Technology Management</subject><subject>Management</subject><subject>Metropolitan areas</subject><subject>Population density</subject><subject>Private sector</subject><subject>Public sector</subject><subject>Qualitative analysis</subject><subject>Qualitative research</subject><subject>R&D</subject><subject>Regions</subject><subject>Research & development</subject><subject>Venture capital</subject><issn>0892-9912</issn><issn>0892-9912</issn><issn>1573-7047</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>7TQ</sourceid><recordid>eNp9kM1LAzEQxYMoWKv_gKcFj5I6k2zzcdTiFxQ8aM8h3c7WLW12TbYH_3ujK9STpxmY33tveIxdIkwQQN8kBKuQg5AcrLWKmyM2AmMFtxbF8Z_9lJ2ltAGAEoQeseu7pt3Rqqn8tqDQR-oiBdrH9N50RROKxeR1UkRaN21I5-yk9ttEF79zzBYP92-zJz5_eXye3c55JYXpuVLGaCW9qJXQFU1JE1khlJe2Fr6icllPS5JIZoU233RdLiWiX1nUiArkmF0Nvl1sP_aUerdp9zHkSCehlFOtDOpMiYGqYptSpNp1sdn5-OkQ3HcpbijF5VLcTynOZFExiKhqQ5MOEpup_ATYjMgBSfkY1hQP6f8YfwGTh20z</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Park, Sang-Min</creator><creator>Vonortas, Nicholas S.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>OQ6</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7TA</scope><scope>7TB</scope><scope>7TQ</scope><scope>8FD</scope><scope>DHY</scope><scope>DON</scope><scope>FR3</scope><scope>JG9</scope><orcidid>https://orcid.org/0000-0002-1290-3544</orcidid><orcidid>https://orcid.org/0000-0002-6745-4926</orcidid></search><sort><creationdate>20240401</creationdate><title>Biomedical entrepreneurship in U.S. regions</title><author>Park, Sang-Min ; Vonortas, Nicholas S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c328t-6688763a2f627ce5e7ee9226a39f2ace4bf54e31e8d197ee7f4b311ad91711603</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Biomedical research</topic><topic>Biotechnology industry</topic><topic>Business and Management</topic><topic>Clinical trials</topic><topic>Commercial Law</topic><topic>Comparative analysis</topic><topic>Economic Growth</topic><topic>Entrepreneurs</topic><topic>Entrepreneurship</topic><topic>Fuzzy sets</topic><topic>Human capital</topic><topic>Identification methods</topic><topic>Industrial Organization</topic><topic>Innovation/Technology Management</topic><topic>Management</topic><topic>Metropolitan areas</topic><topic>Population density</topic><topic>Private sector</topic><topic>Public sector</topic><topic>Qualitative analysis</topic><topic>Qualitative research</topic><topic>R&D</topic><topic>Regions</topic><topic>Research & development</topic><topic>Venture capital</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Park, Sang-Min</creatorcontrib><creatorcontrib>Vonortas, Nicholas S.</creatorcontrib><collection>ECONIS</collection><collection>CrossRef</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>PAIS Index</collection><collection>Technology Research Database</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><jtitle>The Journal of technology transfer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Park, Sang-Min</au><au>Vonortas, Nicholas S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Biomedical entrepreneurship in U.S. regions</atitle><jtitle>The Journal of technology transfer</jtitle><stitle>J Technol Transf</stitle><date>2024-04-01</date><risdate>2024</risdate><volume>49</volume><issue>2</issue><spage>782</spage><epage>800</epage><pages>782-800</pages><issn>0892-9912</issn><eissn>0892-9912</eissn><eissn>1573-7047</eissn><abstract>Entrepreneurial ecosystem researchers generally focus on the few dominant factors affecting entrepreneurship. Insufficient attention has been paid to the interdependencies among regional conditions within an entrepreneurial ecosystem. We focus on the collective effects of factors for regional biomedical entrepreneurship. We use the fuzzy-set qualitative comparative analysis (fsQCA) method to identify sets of regional conditions promoting biomedical entrepreneurship in all 381 U.S. metropolitan areas. The results indicate three configurations contributing to high levels of regional biomedical entrepreneurship: the first one combines public sector biomedical R&D, biomedical patents, and human capital, thus stressing science conditions and related human capital; the second combines public sector biomedical R&D, biomedical patents, clinical trials, and venture capital, thus placing more emphasis on the regional infrastructure sustaining entrepreneurial activity; the third combines private sector biomedical R&D, biomedical patents, human capital, per capita income, population density, and venture capital, thus emphasizing the private sector’s role on boosting regional biomedical entrepreneurship. 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subjects | Biomedical research Biotechnology industry Business and Management Clinical trials Commercial Law Comparative analysis Economic Growth Entrepreneurs Entrepreneurship Fuzzy sets Human capital Identification methods Industrial Organization Innovation/Technology Management Management Metropolitan areas Population density Private sector Public sector Qualitative analysis Qualitative research R&D Regions Research & development Venture capital |
title | Biomedical entrepreneurship in U.S. regions |
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