Predictors of organizational agility

Detalhes bibliográficos
Autor(a) principal: Barbosa, Raul Afonso Pommer
Data de Publicação: 2024
Tipo de documento: Tese
Idioma: eng
Título da fonte: Repositório Institucional do FGV (FGV Repositório Digital)
Texto Completo: https://hdl.handle.net/10438/35526
Resumo: Several IT researchers have studied individuals' relationships and the impact on organizational agility. More recently, research has pointed out a model that sees organizations from the perspective of how it relates to common management practices in terms of entities, such as business processes and organizational capabilities, while still placing the human being as a central player with influence on the agility of the organization. Studying the organizational variables of this phenomenon offers leaders and professionals opportunities to evaluate the approaches used within organizations and how to improve them. Previous studies point to the need for a greater focus on the individual and structures in organizations. Few studies have sought to explore the predictors of Organizational Agility. The aim of this thesis is to identify the relationships between IT Capacity, Alignment in IT, Ambidexterity in IT, and Flexibility in IT as predictors of Organizational Agility. Our theoretical structure shows the state of the art of the predictors of Organizational Agility in the organizational context. The method used was quantitative, using the survey strategy. As for the time horizon of the research, a cross-section was chosen. The techniques and procedures adopted are the structural equation modeling with the minimum partial squares from data collected using the scales already validated in previous works. The sample size was 264 organizations. s a result, the hypotheses were confirmed that IT capabilities, IT alignment, IT ambidexterity, and IT flexibility are predictors of Organizational Agility. This study significantly advances knowledge on how to increase the agility of organizations from information technology skills.
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spelling Barbosa, Raul Afonso PommerEscolasSamartini, André Luiz SilvaBido, Diógenes de SouzaWatanabe, Carolina Yukari VeludoMeirelles, Fernando de Souza2024-07-05T13:09:11Z2024-07-05T13:09:11Z2024-05-24https://hdl.handle.net/10438/35526Several IT researchers have studied individuals' relationships and the impact on organizational agility. More recently, research has pointed out a model that sees organizations from the perspective of how it relates to common management practices in terms of entities, such as business processes and organizational capabilities, while still placing the human being as a central player with influence on the agility of the organization. Studying the organizational variables of this phenomenon offers leaders and professionals opportunities to evaluate the approaches used within organizations and how to improve them. Previous studies point to the need for a greater focus on the individual and structures in organizations. Few studies have sought to explore the predictors of Organizational Agility. The aim of this thesis is to identify the relationships between IT Capacity, Alignment in IT, Ambidexterity in IT, and Flexibility in IT as predictors of Organizational Agility. Our theoretical structure shows the state of the art of the predictors of Organizational Agility in the organizational context. The method used was quantitative, using the survey strategy. As for the time horizon of the research, a cross-section was chosen. The techniques and procedures adopted are the structural equation modeling with the minimum partial squares from data collected using the scales already validated in previous works. The sample size was 264 organizations. s a result, the hypotheses were confirmed that IT capabilities, IT alignment, IT ambidexterity, and IT flexibility are predictors of Organizational Agility. This study significantly advances knowledge on how to increase the agility of organizations from information technology skills.Diversos pesquisadores de TI estudaram a relação dos indivíduos e seu impacto sobre a agilidade organizacional. Mais recentemente, pesquisas apontaram um modelo que vê as organizações sob a ótica da forma que se relaciona com as práticas comuns de gestão em termos de entidades, tais como processos de negócios e capacidades organizacionais, enquanto ainda coloca o ser humano como um ator central com influência na agilidade da organização. Estudar as variáveis organizacionais deste fenômeno oferece aos líderes e profissionais oportunidades para avaliar as abordagens utilizadas dentro das organizações e como aprimorá-las. Estudos anteriores apontam para a necessidade de um maior enfoque sobre o indivíduo e as estruturas nas organizações. Poucos estudos têm procurado explorar os preditores da Agilidade Organizacional. O objetivo desta tese é identificar as relações de Capacidade de TI, Alinhamento em TI, Ambidestria em TI e Flexibilidade em TI, como preditores da Agilidade Organizacional. A estrutura teórica mostra o estado da arte dos preditores da Agilidade Organizacional no contexto organizacional. O método utilizado foi o quantitativo, por meio da estratégia de levantamento. Quanto ao horizonte temporal da pesquisa, optou-se por um corte transversal. As técnicas e procedimentos adotados são a modelagem de equações estruturais com os mínimos quadrados parciais, a partir de dados coletados por meio das escalas já validadas em trabalhos anteriores. A amostra foi de 264 empresas pesquisadas. Como resultados, foram confirmadas as hipóteses de que a Capacidade de TI, Alinhamento em TI, Ambidestria em TI e Flexibilidade em TI, como preditores da Agilidade Organizacional. Este estudo avança significativamente o conhecimento sobre como aumentar a agilidade das organizações a partir de competências em tecnologia da informação.engIT CapabilitiesIT AlignmentIT AmbidexterityOrganizational AgilityIT FlexibilityPLS-SEMAdministração de empresasTecnologia da informaçãoEmpresas - Inovações tecnológicasDesenvolvimento organizacionalMínimos quadradosModelos de equações estruturaisPredictors of organizational agilityinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional do FGV (FGV Repositório Digital)instname:Fundação Getulio Vargas (FGV)instacron:FGVLICENSElicense.txtlicense.txttext/plain; charset=utf-85112https://repositorio.fgv.br/bitstreams/ac7f69ea-9892-4544-ac2e-c32bfc2fcf23/download2a4b67231f701c416a809246e7a10077MD52ORIGINALRaul Pommer - PREDICTORS OF ORGANIZATIONAL AGILITY.pdfRaul Pommer - PREDICTORS OF ORGANIZATIONAL 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dc.title.eng.fl_str_mv Predictors of organizational agility
title Predictors of organizational agility
spellingShingle Predictors of organizational agility
Barbosa, Raul Afonso Pommer
IT Capabilities
IT Alignment
IT Ambidexterity
Organizational Agility
IT Flexibility
PLS-SEM
Administração de empresas
Tecnologia da informação
Empresas - Inovações tecnológicas
Desenvolvimento organizacional
Mínimos quadrados
Modelos de equações estruturais
title_short Predictors of organizational agility
title_full Predictors of organizational agility
title_fullStr Predictors of organizational agility
title_full_unstemmed Predictors of organizational agility
title_sort Predictors of organizational agility
author Barbosa, Raul Afonso Pommer
author_facet Barbosa, Raul Afonso Pommer
author_role author
dc.contributor.unidadefgv.por.fl_str_mv Escolas
dc.contributor.member.none.fl_str_mv Samartini, André Luiz Silva
Bido, Diógenes de Souza
Watanabe, Carolina Yukari Veludo
dc.contributor.author.fl_str_mv Barbosa, Raul Afonso Pommer
dc.contributor.advisor1.fl_str_mv Meirelles, Fernando de Souza
contributor_str_mv Meirelles, Fernando de Souza
dc.subject.eng.fl_str_mv IT Capabilities
IT Alignment
IT Ambidexterity
Organizational Agility
IT Flexibility
PLS-SEM
topic IT Capabilities
IT Alignment
IT Ambidexterity
Organizational Agility
IT Flexibility
PLS-SEM
Administração de empresas
Tecnologia da informação
Empresas - Inovações tecnológicas
Desenvolvimento organizacional
Mínimos quadrados
Modelos de equações estruturais
dc.subject.area.por.fl_str_mv Administração de empresas
dc.subject.bibliodata.por.fl_str_mv Tecnologia da informação
Empresas - Inovações tecnológicas
Desenvolvimento organizacional
Mínimos quadrados
Modelos de equações estruturais
description Several IT researchers have studied individuals' relationships and the impact on organizational agility. More recently, research has pointed out a model that sees organizations from the perspective of how it relates to common management practices in terms of entities, such as business processes and organizational capabilities, while still placing the human being as a central player with influence on the agility of the organization. Studying the organizational variables of this phenomenon offers leaders and professionals opportunities to evaluate the approaches used within organizations and how to improve them. Previous studies point to the need for a greater focus on the individual and structures in organizations. Few studies have sought to explore the predictors of Organizational Agility. The aim of this thesis is to identify the relationships between IT Capacity, Alignment in IT, Ambidexterity in IT, and Flexibility in IT as predictors of Organizational Agility. Our theoretical structure shows the state of the art of the predictors of Organizational Agility in the organizational context. The method used was quantitative, using the survey strategy. As for the time horizon of the research, a cross-section was chosen. The techniques and procedures adopted are the structural equation modeling with the minimum partial squares from data collected using the scales already validated in previous works. The sample size was 264 organizations. s a result, the hypotheses were confirmed that IT capabilities, IT alignment, IT ambidexterity, and IT flexibility are predictors of Organizational Agility. This study significantly advances knowledge on how to increase the agility of organizations from information technology skills.
publishDate 2024
dc.date.accessioned.fl_str_mv 2024-07-05T13:09:11Z
dc.date.available.fl_str_mv 2024-07-05T13:09:11Z
dc.date.issued.fl_str_mv 2024-05-24
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/doctoralThesis
format doctoralThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/10438/35526
url https://hdl.handle.net/10438/35526
dc.language.iso.fl_str_mv eng
language eng
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