Time-to-unicorn and digital entrepreneurial ecosystems
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.5/31094 |
Resumo: | This study examines the influence of a digital entrepreneurial ecosystem in setting the pace of how fast a start-up becomes a unicorn (time-to-unicorn). We apply a fuzzy-set qualitative comparative analysis approach (fsQCA) in which we use factors such as supply and demand conditions, innovation and change, institutional environment, and digital trust to determine the configurations that lead to unicorn success, measured by time-to-unicorn. We draw on data on unicorns from CB Insights and use the digital evolution and digital trust scores from the Digital Intelligence Index to analyze 766 unicorns from 39 countries that achieved this status between 2014 and 2021. The results show that several combinations of conditions increase the average national speed that a start-up takes to become a unicorn. Institutions, resources, and infrastructures have a stronger effect on unicorn success than digital trust. These findings contribute to the ongoing debate on the role of digitalization and institutions in the performance of digital entrepreneurial ecosystems. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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7160 |
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Time-to-unicorn and digital entrepreneurial ecosystemsEntrepreneurshipEcosystemUnicornsDigitalizationTime-To-UnicornInstitutional TheoryfsQCAThis study examines the influence of a digital entrepreneurial ecosystem in setting the pace of how fast a start-up becomes a unicorn (time-to-unicorn). We apply a fuzzy-set qualitative comparative analysis approach (fsQCA) in which we use factors such as supply and demand conditions, innovation and change, institutional environment, and digital trust to determine the configurations that lead to unicorn success, measured by time-to-unicorn. We draw on data on unicorns from CB Insights and use the digital evolution and digital trust scores from the Digital Intelligence Index to analyze 766 unicorns from 39 countries that achieved this status between 2014 and 2021. The results show that several combinations of conditions increase the average national speed that a start-up takes to become a unicorn. Institutions, resources, and infrastructures have a stronger effect on unicorn success than digital trust. These findings contribute to the ongoing debate on the role of digitalization and institutions in the performance of digital entrepreneurial ecosystems.ElsevierRepositório da Universidade de LisboaVenâncio, AnaPicoto, WinniePinto, Inês2024-05-27T10:42:12Z20232023-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/31094engVenâncio, Ana; Winnie Picoto and Inês Pinto .(2023). “Time-to-unicorn and digital entrepreneurial ecosystems”, Technological Forecasting and Social Change, Volume 190: 122425 .(search PDF in 2024).0040-162doi.org/10.1016/j.techfore.2023.122425info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-11-20T19:22:58Zoai:repositorio.ul.pt:10400.5/31094Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-20T19:22:58Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Time-to-unicorn and digital entrepreneurial ecosystems |
title |
Time-to-unicorn and digital entrepreneurial ecosystems |
spellingShingle |
Time-to-unicorn and digital entrepreneurial ecosystems Venâncio, Ana Entrepreneurship Ecosystem Unicorns Digitalization Time-To-Unicorn Institutional Theory fsQCA |
title_short |
Time-to-unicorn and digital entrepreneurial ecosystems |
title_full |
Time-to-unicorn and digital entrepreneurial ecosystems |
title_fullStr |
Time-to-unicorn and digital entrepreneurial ecosystems |
title_full_unstemmed |
Time-to-unicorn and digital entrepreneurial ecosystems |
title_sort |
Time-to-unicorn and digital entrepreneurial ecosystems |
author |
Venâncio, Ana |
author_facet |
Venâncio, Ana Picoto, Winnie Pinto, Inês |
author_role |
author |
author2 |
Picoto, Winnie Pinto, Inês |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade de Lisboa |
dc.contributor.author.fl_str_mv |
Venâncio, Ana Picoto, Winnie Pinto, Inês |
dc.subject.por.fl_str_mv |
Entrepreneurship Ecosystem Unicorns Digitalization Time-To-Unicorn Institutional Theory fsQCA |
topic |
Entrepreneurship Ecosystem Unicorns Digitalization Time-To-Unicorn Institutional Theory fsQCA |
description |
This study examines the influence of a digital entrepreneurial ecosystem in setting the pace of how fast a start-up becomes a unicorn (time-to-unicorn). We apply a fuzzy-set qualitative comparative analysis approach (fsQCA) in which we use factors such as supply and demand conditions, innovation and change, institutional environment, and digital trust to determine the configurations that lead to unicorn success, measured by time-to-unicorn. We draw on data on unicorns from CB Insights and use the digital evolution and digital trust scores from the Digital Intelligence Index to analyze 766 unicorns from 39 countries that achieved this status between 2014 and 2021. The results show that several combinations of conditions increase the average national speed that a start-up takes to become a unicorn. Institutions, resources, and infrastructures have a stronger effect on unicorn success than digital trust. These findings contribute to the ongoing debate on the role of digitalization and institutions in the performance of digital entrepreneurial ecosystems. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023 2023-01-01T00:00:00Z 2024-05-27T10:42:12Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.5/31094 |
url |
http://hdl.handle.net/10400.5/31094 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Venâncio, Ana; Winnie Picoto and Inês Pinto .(2023). “Time-to-unicorn and digital entrepreneurial ecosystems”, Technological Forecasting and Social Change, Volume 190: 122425 .(search PDF in 2024). 0040-162 doi.org/10.1016/j.techfore.2023.122425 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
mluisa.alvim@gmail.com |
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1817549508151607296 |