Digital acceleration index: digital maturity trends in Portugal

Detalhes bibliográficos
Autor(a) principal: André, Daniel Dormal
Data de Publicação: 2021
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/138128
Resumo: The importance of having the digital means to adapt and survive digital disruption isa ubiquitous factor for firms in the 21st century. The Digital Acceleration Index (DAI)is a Digital Maturity Model developed by Boston Consulting Group (BCG). This project follows its first edition in Portugal, analyzing the results and providing a framework for analyzing and mapping out digital trends through text analysis. A second sister-thesis further explores the relationship between Digital Maturity and gross salary through the lens of a multiple regression model.
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spelling Digital acceleration index: digital maturity trends in PortugalDigital maturityDigital transformationMaturity modelDomínio/Área Científica::Ciências Sociais::Economia e GestãoThe importance of having the digital means to adapt and survive digital disruption isa ubiquitous factor for firms in the 21st century. The Digital Acceleration Index (DAI)is a Digital Maturity Model developed by Boston Consulting Group (BCG). This project follows its first edition in Portugal, analyzing the results and providing a framework for analyzing and mapping out digital trends through text analysis. A second sister-thesis further explores the relationship between Digital Maturity and gross salary through the lens of a multiple regression model.Duarte, JoãoRUNAndré, Daniel Dormal2022-05-18T10:36:06Z2021-05-312021-05-312021-05-31T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/138128TID:202932095enginfo: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:RCAAP2024-03-11T05:15:27Zoai:run.unl.pt:10362/138128Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:48:57.933850Repositório 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 Digital acceleration index: digital maturity trends in Portugal
title Digital acceleration index: digital maturity trends in Portugal
spellingShingle Digital acceleration index: digital maturity trends in Portugal
André, Daniel Dormal
Digital maturity
Digital transformation
Maturity model
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
title_short Digital acceleration index: digital maturity trends in Portugal
title_full Digital acceleration index: digital maturity trends in Portugal
title_fullStr Digital acceleration index: digital maturity trends in Portugal
title_full_unstemmed Digital acceleration index: digital maturity trends in Portugal
title_sort Digital acceleration index: digital maturity trends in Portugal
author André, Daniel Dormal
author_facet André, Daniel Dormal
author_role author
dc.contributor.none.fl_str_mv Duarte, João
RUN
dc.contributor.author.fl_str_mv André, Daniel Dormal
dc.subject.por.fl_str_mv Digital maturity
Digital transformation
Maturity model
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
topic Digital maturity
Digital transformation
Maturity model
Domínio/Área Científica::Ciências Sociais::Economia e Gestão
description The importance of having the digital means to adapt and survive digital disruption isa ubiquitous factor for firms in the 21st century. The Digital Acceleration Index (DAI)is a Digital Maturity Model developed by Boston Consulting Group (BCG). This project follows its first edition in Portugal, analyzing the results and providing a framework for analyzing and mapping out digital trends through text analysis. A second sister-thesis further explores the relationship between Digital Maturity and gross salary through the lens of a multiple regression model.
publishDate 2021
dc.date.none.fl_str_mv 2021-05-31
2021-05-31
2021-05-31T00:00:00Z
2022-05-18T10:36:06Z
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/138128
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url http://hdl.handle.net/10362/138128
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dc.language.iso.fl_str_mv eng
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