Prediction of entrepreneurship : an ordered regression approach

Detalhes bibliográficos
Autor(a) principal: Silva, Francisco
Data de Publicação: 2010
Outros Autores: Couto, Gualter, Coelho, Hugo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.3/4875
Resumo: Entrepreneurship is a popular research topic over the last several decades. Various authors study the characteristics that best define future entrepreneur profiles. In this paper, we apply a framework to screen school populations in the Azores Islands, Portugal, for prospects of entrepreneurship and to study the profiles of those who show noticeably entrepreneurial orientations. The contribution of the paper consists of applying ordered regression to explain the entrepreneurial prospects of students in high school.
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spelling Prediction of entrepreneurship : an ordered regression approachEntrepreneurshipEntrepreneurial ProspectsHigh School StudentsEntrepreneurship is a popular research topic over the last several decades. Various authors study the characteristics that best define future entrepreneur profiles. In this paper, we apply a framework to screen school populations in the Azores Islands, Portugal, for prospects of entrepreneurship and to study the profiles of those who show noticeably entrepreneurial orientations. The contribution of the paper consists of applying ordered regression to explain the entrepreneurial prospects of students in high school.Universidade dos AçoresRepositório da Universidade dos AçoresSilva, FranciscoCouto, GualterCoelho, Hugo2018-11-20T17:33:31Z2010-072010-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/4875engSilva, Francisco; Couto, Gualter; Coelho, Hugo (2010). Prediction of entrepreneurship: an ordered regression approach, “Working Paper Series” n.º 7/10, 14 pp.. Ponta Delgada: Universidade dos Açores, CEEAplA-A.info: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:RCAAP2022-12-20T14:33:07Zoai:repositorio.uac.pt:10400.3/4875Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:27:12.372618Repositório 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 Prediction of entrepreneurship : an ordered regression approach
title Prediction of entrepreneurship : an ordered regression approach
spellingShingle Prediction of entrepreneurship : an ordered regression approach
Silva, Francisco
Entrepreneurship
Entrepreneurial Prospects
High School Students
title_short Prediction of entrepreneurship : an ordered regression approach
title_full Prediction of entrepreneurship : an ordered regression approach
title_fullStr Prediction of entrepreneurship : an ordered regression approach
title_full_unstemmed Prediction of entrepreneurship : an ordered regression approach
title_sort Prediction of entrepreneurship : an ordered regression approach
author Silva, Francisco
author_facet Silva, Francisco
Couto, Gualter
Coelho, Hugo
author_role author
author2 Couto, Gualter
Coelho, Hugo
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade dos Açores
dc.contributor.author.fl_str_mv Silva, Francisco
Couto, Gualter
Coelho, Hugo
dc.subject.por.fl_str_mv Entrepreneurship
Entrepreneurial Prospects
High School Students
topic Entrepreneurship
Entrepreneurial Prospects
High School Students
description Entrepreneurship is a popular research topic over the last several decades. Various authors study the characteristics that best define future entrepreneur profiles. In this paper, we apply a framework to screen school populations in the Azores Islands, Portugal, for prospects of entrepreneurship and to study the profiles of those who show noticeably entrepreneurial orientations. The contribution of the paper consists of applying ordered regression to explain the entrepreneurial prospects of students in high school.
publishDate 2010
dc.date.none.fl_str_mv 2010-07
2010-07-01T00:00:00Z
2018-11-20T17:33:31Z
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/10400.3/4875
url http://hdl.handle.net/10400.3/4875
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Silva, Francisco; Couto, Gualter; Coelho, Hugo (2010). Prediction of entrepreneurship: an ordered regression approach, “Working Paper Series” n.º 7/10, 14 pp.. Ponta Delgada: Universidade dos Açores, CEEAplA-A.
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 Universidade dos Açores
publisher.none.fl_str_mv Universidade dos Açores
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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
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