Towards a framework to predict start-up's business model success potential

Detalhes bibliográficos
Autor(a) principal: Barros, Salvador Burnay
Data de Publicação: 2016
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.14/21016
Resumo: The present master thesis regards the development a theoretical framework which is an algorithm with the goal of predicting start-ups business model’s success potential. It was designed to support entrepreneurs understanding better what venture capitalists and business angels (VC/BA) take into consideration for predicting start-ups’ success. ISC stands for Idea, Story and Context which are considered the main drivers towards start-ups’ business model success prediction by the model. This study has tested this framework on three real case-study start-ups to compare how the framework rates the three start-ups in comparison with business savvy people, such as VC/BA investors and management students. For doing this study, the framework leveraged an online platform named Business Model Composer®, an online platform for communicating business models using state-of-the-art research on business models’ topics. Finally, it is suggested how such algorithm could be integrated into an online tool to support entrepreneurs swiftly.
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spelling Towards a framework to predict start-up's business model success potentialDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe present master thesis regards the development a theoretical framework which is an algorithm with the goal of predicting start-ups business model’s success potential. It was designed to support entrepreneurs understanding better what venture capitalists and business angels (VC/BA) take into consideration for predicting start-ups’ success. ISC stands for Idea, Story and Context which are considered the main drivers towards start-ups’ business model success prediction by the model. This study has tested this framework on three real case-study start-ups to compare how the framework rates the three start-ups in comparison with business savvy people, such as VC/BA investors and management students. For doing this study, the framework leveraged an online platform named Business Model Composer®, an online platform for communicating business models using state-of-the-art research on business models’ topics. Finally, it is suggested how such algorithm could be integrated into an online tool to support entrepreneurs swiftly.A presente tese de mestrado centra-se no desenvolvimento de um algoritmo com o objetivo de prever o potencial de sucesso de um modelo de negócio de um start-up. O algoritmo foi concebido de forma a apoiar os empreendedores entenderem melhor o que capitalistas de risco (VC) e business angels (BA) têm em consideração para antever sucesso de start-ups. ISC significa Idea, Story e Context que são considerados pelo modelo os principais fatores conducentes à previsão de sucesso de um modelo de negócio de uma start-up. Este estudo testou essa estrutura em três casos de estudo start-ups reais, afim de comparar a forma como a framework classifica estas três start-ups vis-à-vis com pessoas experientes em negócios, como investidores VC/BA e estudantes de gestão. Para fazer este estudo, o algoritmo aproveitou uma plataforma online chamada Business Model Composer® que visa comunicar modelos de negócio e que se baseia em investigação na área de modelos de negócios. Por fim, sugere-se como poderia tal algoritmo ser integrado numa ferramenta online para ajudar empreendedores de forma clara e imediata.Bohnsack, RenéVeritati - Repositório Institucional da Universidade Católica PortuguesaBarros, Salvador Burnay2016-12-13T14:48:31Z2016-10-1820162016-10-18T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10400.14/21016TID:201283620enginfo: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:RCAAP2023-07-12T17:27:03Zoai:repositorio.ucp.pt:10400.14/21016Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:17:27.625233Repositório 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 Towards a framework to predict start-up's business model success potential
title Towards a framework to predict start-up's business model success potential
spellingShingle Towards a framework to predict start-up's business model success potential
Barros, Salvador Burnay
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Towards a framework to predict start-up's business model success potential
title_full Towards a framework to predict start-up's business model success potential
title_fullStr Towards a framework to predict start-up's business model success potential
title_full_unstemmed Towards a framework to predict start-up's business model success potential
title_sort Towards a framework to predict start-up's business model success potential
author Barros, Salvador Burnay
author_facet Barros, Salvador Burnay
author_role author
dc.contributor.none.fl_str_mv Bohnsack, René
Veritati - Repositório Institucional da Universidade Católica Portuguesa
dc.contributor.author.fl_str_mv Barros, Salvador Burnay
dc.subject.por.fl_str_mv Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The present master thesis regards the development a theoretical framework which is an algorithm with the goal of predicting start-ups business model’s success potential. It was designed to support entrepreneurs understanding better what venture capitalists and business angels (VC/BA) take into consideration for predicting start-ups’ success. ISC stands for Idea, Story and Context which are considered the main drivers towards start-ups’ business model success prediction by the model. This study has tested this framework on three real case-study start-ups to compare how the framework rates the three start-ups in comparison with business savvy people, such as VC/BA investors and management students. For doing this study, the framework leveraged an online platform named Business Model Composer®, an online platform for communicating business models using state-of-the-art research on business models’ topics. Finally, it is suggested how such algorithm could be integrated into an online tool to support entrepreneurs swiftly.
publishDate 2016
dc.date.none.fl_str_mv 2016-12-13T14:48:31Z
2016-10-18
2016
2016-10-18T00:00:00Z
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/10400.14/21016
TID:201283620
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identifier_str_mv TID:201283620
dc.language.iso.fl_str_mv eng
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dc.format.none.fl_str_mv application/pdf
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