Time-to-unicorn and digital entrepreneurial ecosystems

Detalhes bibliográficos
Autor(a) principal: Venâncio, Ana
Data de Publicação: 2023
Outros Autores: Picoto, Winnie, Pinto, Inês
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.
id RCAP_7496178c02ea417888451f431e8c1f15
oai_identifier_str oai:repositorio.ul.pt:10400.5/31094
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling 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
_version_ 1817549508151607296