Evolutionary Paths of Digital Ventures
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2024 |
| Tipo de documento: | Dissertação |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10362/165514 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence |
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Evolutionary Paths of Digital VenturesDigital VentureStartupPrivate InvestmentsUnicorn CompanyInitial Public OfferingSDG 4 - Quality educationSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureSDG 10 - Reduced inequalitiesSDG 17 - Partnerships for the goalsDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing IntelligenceThe unicorn companies and its performance have attracted increasing interest due to its rarity and the need to stand out from the thousands of startups that emerge every day, in order not to fail prematurely like the majority of these companies. Keeping this in mind, this project seeks to understand the performance of these companies between the pre-and post-IPO periods, that is, during the transition process to becoming a public company. Eight US companies have been analyzed using data available on platforms such as Yahoo Finance and Stock Analysis. The results show that the companies are able to achieve financial stability after this transition, but that they find it more difficult to increase their market value in the years following the IPO.Rita, Paulo Miguel Rasquinho FerreiraSousa, Vasco Duarte Eiriz deRUNProença, Beatriz Antunes2025-02-05T01:31:42Z2024-02-052024-02-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/165514TID:203564715enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-10T01:36:29Zoai:run.unl.pt:10362/165514Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T17:50:46.337439Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Evolutionary Paths of Digital Ventures |
| title |
Evolutionary Paths of Digital Ventures |
| spellingShingle |
Evolutionary Paths of Digital Ventures Proença, Beatriz Antunes Digital Venture Startup Private Investments Unicorn Company Initial Public Offering SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 10 - Reduced inequalities SDG 17 - Partnerships for the goals Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
| title_short |
Evolutionary Paths of Digital Ventures |
| title_full |
Evolutionary Paths of Digital Ventures |
| title_fullStr |
Evolutionary Paths of Digital Ventures |
| title_full_unstemmed |
Evolutionary Paths of Digital Ventures |
| title_sort |
Evolutionary Paths of Digital Ventures |
| author |
Proença, Beatriz Antunes |
| author_facet |
Proença, Beatriz Antunes |
| author_role |
author |
| dc.contributor.none.fl_str_mv |
Rita, Paulo Miguel Rasquinho Ferreira Sousa, Vasco Duarte Eiriz de RUN |
| dc.contributor.author.fl_str_mv |
Proença, Beatriz Antunes |
| dc.subject.por.fl_str_mv |
Digital Venture Startup Private Investments Unicorn Company Initial Public Offering SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 10 - Reduced inequalities SDG 17 - Partnerships for the goals Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
| topic |
Digital Venture Startup Private Investments Unicorn Company Initial Public Offering SDG 4 - Quality education SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure SDG 10 - Reduced inequalities SDG 17 - Partnerships for the goals Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
| description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence |
| publishDate |
2024 |
| dc.date.none.fl_str_mv |
2024-02-05 2024-02-05T00:00:00Z 2025-02-05T01:31:42Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/masterThesis |
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masterThesis |
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publishedVersion |
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http://hdl.handle.net/10362/165514 TID:203564715 |
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http://hdl.handle.net/10362/165514 |
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TID:203564715 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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