Software startup ecosystems evolution: a maturity model

Detalhes bibliográficos
Ano de defesa: 2017
Autor(a) principal: Cukier, Daniel
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: eng
Instituição de defesa: Biblioteca Digitais de Teses e Dissertações da USP
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-20062017-151018/
Resumo: Resulting from the technological revolution over the last few decades, many software startup ecosystems have emerged around the globe. Boosted by the Internet, the omnipresence of mobile devices, and the abundance of cloud-based services, software companies with scalable business models, known as startups, became all the hype. With tech entrepreneurs as their main agents, some of these ecosystems have existed for over 50 years, while others are newly born. This difference in evolution and maturity makes comparing tech hubs a challenge. Moreover, if they are to evolve towards fruitful and sustainable environments, nascent ecosystems need a clear vision of how to develop their community. This thesis presents a multiple-case study research in three different ecosystems, and it was divided in three phases. During the first phase, we analyzed the Israeli entrepreneurship ecosystem and, using grounded theory, created a conceptual generalized framework to map ecosystems. We also developed a methodology and a systematic interview protocol to be used to analyze any ecosystem. The second phase was performed in São Paulo, with the objective of refining and validating both the methodology and the conceptual framework. The second phase resulted in the discovery of how important it is to analyze ecosystem dynamics and evolution process, leading us to create a maturity model for software startup ecosystems. The maturity model was based on the conceptual model we created, mapping the most important factors that define an ecosystem. To validate and refine the Maturity Model created in the second phase, we ran a third case-study iteration in New York City. Based on the feedback from over a dozen experts, we generated the final model and a practical guide to determine an ecosystems maturity level. With this model, it is possible not only to compare different ecosystems, but also to identify gaps and propose customized practical actions that can yield meaningful improvements and lead ecosystems to the next level of development.
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spelling Software startup ecosystems evolution: a maturity modelA evolução dos ecossistemas de startups de software: um modelo de maturidadeEcossistemasecossistemas de startupsEcosystemempreendedorismoentrepreneurshipgrounded theoryinnovationinovaçãomaturity modelmétodos qualitativosmodelo de maturidadequalitative methodssoftware startupsstartup ecosystemsstartups de softwareteoria fundamentada em dadosResulting from the technological revolution over the last few decades, many software startup ecosystems have emerged around the globe. Boosted by the Internet, the omnipresence of mobile devices, and the abundance of cloud-based services, software companies with scalable business models, known as startups, became all the hype. With tech entrepreneurs as their main agents, some of these ecosystems have existed for over 50 years, while others are newly born. This difference in evolution and maturity makes comparing tech hubs a challenge. Moreover, if they are to evolve towards fruitful and sustainable environments, nascent ecosystems need a clear vision of how to develop their community. This thesis presents a multiple-case study research in three different ecosystems, and it was divided in three phases. During the first phase, we analyzed the Israeli entrepreneurship ecosystem and, using grounded theory, created a conceptual generalized framework to map ecosystems. We also developed a methodology and a systematic interview protocol to be used to analyze any ecosystem. The second phase was performed in São Paulo, with the objective of refining and validating both the methodology and the conceptual framework. The second phase resulted in the discovery of how important it is to analyze ecosystem dynamics and evolution process, leading us to create a maturity model for software startup ecosystems. The maturity model was based on the conceptual model we created, mapping the most important factors that define an ecosystem. To validate and refine the Maturity Model created in the second phase, we ran a third case-study iteration in New York City. Based on the feedback from over a dozen experts, we generated the final model and a practical guide to determine an ecosystems maturity level. With this model, it is possible not only to compare different ecosystems, but also to identify gaps and propose customized practical actions that can yield meaningful improvements and lead ecosystems to the next level of development.Resultado da revolução tecnológica das últimas décadas, vários ecossistemas de startups de software surgiram ao redor do globo. Acelerados pela Internet, pela onipresença dos dispositivos móveis e pela abundância de serviços de nuvem, empresas de software com modelos de negócio escalável, conhecidas como startups, se tornaram o assunto da moda. Com empreendedores de tecnologia como seus principais agentes, alguns desses ecossistemas já existem há mais de 50 anos, enquanto outros são apenas recém-nascidos. Essa diferença no grau de evolução e maturidade torna a comparação de aglomerados de tecnologia um desafio. Mais ainda, se alguns ecossistemas querem evoluir para um estágio próspero e sustentável, ecossitemas nascentes precisam de uma visão clara de como desenvolver suas comunidades. Esta tese apresenta nossa pesquisa baseada em um estudo de caso múltiplo em três diferentes ecossistemas, e foi dividade em três fases. Durante a primeira fase, nós analisamos o ecossistema empreendedor de Israel e, utilizando teoria fundamentada em dados, criamos um arcabouço conceitual que provê uma versão generalizada para mapear ecossistemas. Desenvolvemos, também, uma metodologia e um protocolo sistemático para entrevistas a serem usadas na análise de ecossistemas específicos. A segunda fase da pesquisa foi realizada em São Paulo, com o objetivo de refinar e validar a metodologia e o arcabouço conceitual. Esta fase resultou na descoberta de como é importante analisar a dinâmica e o processo de evolução dos ecossistemas, nos levando a criar um modelo de maturidade para ecossistemas de startups de software. O modelo de maturidade foi baseado no modelo conceitual que criamos, mapeando os fatores mais importantes que definem as características de um ecossistema. Para validar e refinar o modelo de maturidade criado na segunda fase, realizamos um terceiro estudo de caso em Nova Iorque que contou com o feedback de mais de uma dezena de especialistas. Geramos um modelo de maturidade final, um guia prático para determinar o nível de maturidade de cada ecossistema. Com esse modelo, é possível não somente comparar diferentes ecossistemas, como também identificar lacunas e propor ações práticas e personalizadas que podem resultar em melhorias significativas e levar ecossistemas ao próximo nível de desenvolvimento.Biblioteca Digitais de Teses e Dissertações da USPKon, FabioCukier, Daniel2017-05-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdfhttp://www.teses.usp.br/teses/disponiveis/45/45134/tde-20062017-151018/reponame:Biblioteca Digital de Teses e Dissertações da USPinstname:Universidade de São Paulo (USP)instacron:USPLiberar o conteúdo para acesso público.info:eu-repo/semantics/openAccesseng2018-07-17T16:38:18Zoai:teses.usp.br:tde-20062017-151018Biblioteca Digital de Teses e Dissertaçõeshttp://www.teses.usp.br/PUBhttp://www.teses.usp.br/cgi-bin/mtd2br.plvirginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.bropendoar:27212018-07-17T16:38:18Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Software startup ecosystems evolution: a maturity model
A evolução dos ecossistemas de startups de software: um modelo de maturidade
title Software startup ecosystems evolution: a maturity model
spellingShingle Software startup ecosystems evolution: a maturity model
Cukier, Daniel
Ecossistemas
ecossistemas de startups
Ecosystem
empreendedorismo
entrepreneurship
grounded theory
innovation
inovação
maturity model
métodos qualitativos
modelo de maturidade
qualitative methods
software startups
startup ecosystems
startups de software
teoria fundamentada em dados
title_short Software startup ecosystems evolution: a maturity model
title_full Software startup ecosystems evolution: a maturity model
title_fullStr Software startup ecosystems evolution: a maturity model
title_full_unstemmed Software startup ecosystems evolution: a maturity model
title_sort Software startup ecosystems evolution: a maturity model
author Cukier, Daniel
author_facet Cukier, Daniel
author_role author
dc.contributor.none.fl_str_mv Kon, Fabio
dc.contributor.author.fl_str_mv Cukier, Daniel
dc.subject.por.fl_str_mv Ecossistemas
ecossistemas de startups
Ecosystem
empreendedorismo
entrepreneurship
grounded theory
innovation
inovação
maturity model
métodos qualitativos
modelo de maturidade
qualitative methods
software startups
startup ecosystems
startups de software
teoria fundamentada em dados
topic Ecossistemas
ecossistemas de startups
Ecosystem
empreendedorismo
entrepreneurship
grounded theory
innovation
inovação
maturity model
métodos qualitativos
modelo de maturidade
qualitative methods
software startups
startup ecosystems
startups de software
teoria fundamentada em dados
description Resulting from the technological revolution over the last few decades, many software startup ecosystems have emerged around the globe. Boosted by the Internet, the omnipresence of mobile devices, and the abundance of cloud-based services, software companies with scalable business models, known as startups, became all the hype. With tech entrepreneurs as their main agents, some of these ecosystems have existed for over 50 years, while others are newly born. This difference in evolution and maturity makes comparing tech hubs a challenge. Moreover, if they are to evolve towards fruitful and sustainable environments, nascent ecosystems need a clear vision of how to develop their community. This thesis presents a multiple-case study research in three different ecosystems, and it was divided in three phases. During the first phase, we analyzed the Israeli entrepreneurship ecosystem and, using grounded theory, created a conceptual generalized framework to map ecosystems. We also developed a methodology and a systematic interview protocol to be used to analyze any ecosystem. The second phase was performed in São Paulo, with the objective of refining and validating both the methodology and the conceptual framework. The second phase resulted in the discovery of how important it is to analyze ecosystem dynamics and evolution process, leading us to create a maturity model for software startup ecosystems. The maturity model was based on the conceptual model we created, mapping the most important factors that define an ecosystem. To validate and refine the Maturity Model created in the second phase, we ran a third case-study iteration in New York City. Based on the feedback from over a dozen experts, we generated the final model and a practical guide to determine an ecosystems maturity level. With this model, it is possible not only to compare different ecosystems, but also to identify gaps and propose customized practical actions that can yield meaningful improvements and lead ecosystems to the next level of development.
publishDate 2017
dc.date.none.fl_str_mv 2017-05-02
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
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dc.identifier.uri.fl_str_mv http://www.teses.usp.br/teses/disponiveis/45/45134/tde-20062017-151018/
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dc.language.iso.fl_str_mv eng
language eng
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dc.rights.driver.fl_str_mv Liberar o conteúdo para acesso público.
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Liberar o conteúdo para acesso público.
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
publisher.none.fl_str_mv Biblioteca Digitais de Teses e Dissertações da USP
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reponame:Biblioteca Digital de Teses e Dissertações da USP
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Biblioteca Digital de Teses e Dissertações da USP
collection Biblioteca Digital de Teses e Dissertações da USP
repository.name.fl_str_mv Biblioteca Digital de Teses e Dissertações da USP - Universidade de São Paulo (USP)
repository.mail.fl_str_mv virginia@if.usp.br|| atendimento@aguia.usp.br||virginia@if.usp.br
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