Pivotal or peripheral

Bibliographic Details
Main Author: Sitty, Jean-Pierre Gabriel
Publication Date: 2024
Format: Master thesis
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10362/173641
Summary: This research investigates the extent to which generative artificial intelligence (GAI) accelerates early-stage startups, focusing on the area ‘ideation’. By integrating literature and expert interviews, the study aims to fill the current research gap. This research examines how GAI affects the success of startups, by mitigating common failure factors and capitalizing on success factors. The results show that GAI varies between different kind of tasks and offers practical recommendations and ideas for future research. These insights guide founders in effectively utilizing GAI to navigate the new era of GAI-enhanced entrepreneurship.
id RCAP_9a9ec03fcc2ed44ec2f12cee470d2b7a
oai_identifier_str oai:run.unl.pt:10362/173641
network_acronym_str RCAP
network_name_str Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
repository_id_str https://opendoar.ac.uk/repository/7160
spelling Pivotal or peripheralassessing the role of generative artificial intelligence in accelerating entrepreneurial success - a study of the ideation processStartupEntrepreneurshipIdeationInnovationGenerative AiDomínio/Área Científica::Ciências Sociais::Economia e GestãoThis research investigates the extent to which generative artificial intelligence (GAI) accelerates early-stage startups, focusing on the area ‘ideation’. By integrating literature and expert interviews, the study aims to fill the current research gap. This research examines how GAI affects the success of startups, by mitigating common failure factors and capitalizing on success factors. The results show that GAI varies between different kind of tasks and offers practical recommendations and ideas for future research. These insights guide founders in effectively utilizing GAI to navigate the new era of GAI-enhanced entrepreneurship.Castro, JoãoRUNSitty, Jean-Pierre Gabriel2024-10-17T15:51:50Z2024-01-122024-01-12T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/173641TID:203603010enginfo: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:RCAAP2024-10-21T01:39:14Zoai:run.unl.pt:10362/173641Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T18:59:37.096037Repositórios 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 the ideation process
title Pivotal or peripheral
spellingShingle Pivotal or peripheral
Sitty, Jean-Pierre Gabriel
Startup
Entrepreneurship
Ideation
Innovation
Generative Ai
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Pivotal or peripheral
title_full Pivotal or peripheral
title_fullStr Pivotal or peripheral
title_full_unstemmed Pivotal or peripheral
title_sort Pivotal or peripheral
author Sitty, Jean-Pierre Gabriel
author_facet Sitty, Jean-Pierre Gabriel
author_role author
dc.contributor.none.fl_str_mv Castro, João
RUN
dc.contributor.author.fl_str_mv Sitty, Jean-Pierre Gabriel
dc.subject.por.fl_str_mv Startup
Entrepreneurship
Ideation
Innovation
Generative Ai
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Startup
Entrepreneurship
Ideation
Innovation
Generative Ai
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description This research investigates the extent to which generative artificial intelligence (GAI) accelerates early-stage startups, focusing on the area ‘ideation’. By integrating literature and expert interviews, the study aims to fill the current research gap. This research examines how GAI affects the success of startups, by mitigating common failure factors and capitalizing on success factors. The results show that GAI varies between different kind of tasks and offers practical recommendations and ideas for future research. These insights guide founders in effectively utilizing GAI to navigate the new era of GAI-enhanced entrepreneurship.
publishDate 2024
dc.date.none.fl_str_mv 2024-10-17T15:51:50Z
2024-01-12
2024-01-12T00:00:00Z
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/10362/173641
TID:203603010
url http://hdl.handle.net/10362/173641
identifier_str_mv TID:203603010
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
_version_ 1833597805766115328