Evolutionary Paths of Digital Ventures

Detalhes bibliográficos
Autor(a) principal: Proença, Beatriz Antunes
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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spelling 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
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/165514
TID:203564715
url http://hdl.handle.net/10362/165514
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dc.language.iso.fl_str_mv eng
language eng
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repository.mail.fl_str_mv info@rcaap.pt
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