Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Tipo de documento: | Dissertação |
Idioma: | eng |
Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
Texto Completo: | http://hdl.handle.net/10362/179525 |
Resumo: | This thesis explores how Generative Artificial Intelligence (GAI) accelerates early-stage startups focusing on software engineering capabilities. By integrating literature review and expert interviews, it identifies GAI's role in mitigating failure factors and enhancing success factors. Findings suggest that GAI's impact varies across tasks, offering strategic advantages for startup development. The study provides actionable recommendations for founders to leverage GAI, guiding them through the challenges of entrepreneurship in the AI age. This research fills a significant gap, offering insights and directions for future inquiry into GAIenhanced startup ecosystems. |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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https://opendoar.ac.uk/repository/7160 |
spelling |
Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineeringStartupSoftware engineeringGenerative aiLarge language modelsHuman-ai interactionEntrepreneurshipDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis thesis explores how Generative Artificial Intelligence (GAI) accelerates early-stage startups focusing on software engineering capabilities. By integrating literature review and expert interviews, it identifies GAI's role in mitigating failure factors and enhancing success factors. Findings suggest that GAI's impact varies across tasks, offering strategic advantages for startup development. The study provides actionable recommendations for founders to leverage GAI, guiding them through the challenges of entrepreneurship in the AI age. This research fills a significant gap, offering insights and directions for future inquiry into GAIenhanced startup ecosystems.Castro, JoãoRUNBakakis, Andreas2025-02-21T16:01:12Z2024-07-032023-12-192024-07-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/179525TID:203865367enginfo: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:RCAAP2025-02-24T01:52:17Zoai:run.unl.pt:10362/179525Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:40:23.433646Repositórios 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 |
Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering |
title |
Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering |
spellingShingle |
Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering Bakakis, Andreas Startup Software engineering Generative ai Large language models Human-ai interaction Entrepreneurship Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
title_short |
Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering |
title_full |
Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering |
title_fullStr |
Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering |
title_full_unstemmed |
Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering |
title_sort |
Pivotal or peripheral: assessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of enhancing software engineering |
author |
Bakakis, Andreas |
author_facet |
Bakakis, Andreas |
author_role |
author |
dc.contributor.none.fl_str_mv |
Castro, João RUN |
dc.contributor.author.fl_str_mv |
Bakakis, Andreas |
dc.subject.por.fl_str_mv |
Startup Software engineering Generative ai Large language models Human-ai interaction Entrepreneurship Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
topic |
Startup Software engineering Generative ai Large language models Human-ai interaction Entrepreneurship Domínio/Área Científica::Ciências Sociais::Economia e Gestão |
description |
This thesis explores how Generative Artificial Intelligence (GAI) accelerates early-stage startups focusing on software engineering capabilities. By integrating literature review and expert interviews, it identifies GAI's role in mitigating failure factors and enhancing success factors. Findings suggest that GAI's impact varies across tasks, offering strategic advantages for startup development. The study provides actionable recommendations for founders to leverage GAI, guiding them through the challenges of entrepreneurship in the AI age. This research fills a significant gap, offering insights and directions for future inquiry into GAIenhanced startup ecosystems. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-12-19 2024-07-03 2024-07-03T00:00:00Z 2025-02-21T16:01:12Z |
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/10362/179525 TID:203865367 |
url |
http://hdl.handle.net/10362/179525 |
identifier_str_mv |
TID:203865367 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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.source.none.fl_str_mv |
reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia instacron:RCAAP |
instname_str |
FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
collection |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
repository.mail.fl_str_mv |
info@rcaap.pt |
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