Culture effects on business intelligence systems success

Detalhes bibliográficos
Autor(a) principal: Catarro, Vasco Miguel de Sousa Dias
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/149739
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Culture effects on business intelligence systems successBusiness IntelligenceData-Driven CultureInnovation CultureInformation SystemsBusiness Intelligence successDeLone & McLeanDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceBusiness Intelligence (BI) enables users to quickly access real time information to support their decision-making processes. Recently it has become one of the principal tools used by corporations to analyze business data and turn it into actionable insights. This study identifies the effects that culture has on the main and essential drivers for the success of a BI system in an organization. This research combines two culture dimensions (innovation culture and data-driven culture), with the Delone & Mclean information systems success model, in order to evaluate BI success in the post-adoption stage. Based on a sample of 201 users, the results reveal that the usage, user satisfaction, and data-driven culture are important precedents of net benefits. Both use and user satisfaction have a significant relationship between each other, and information quality, system quality, service quality, and innovation culture positively affect user satisfaction. Previous research has focused mainly on the adoption of BI information systems. However, this study evaluates the effects of cultural dimensions on a BI system’s success in the post-adoption stage, while also identifying the critical success factors of this technology.Tam Chuem Vai, CarlosRUNCatarro, Vasco Miguel de Sousa Dias2023-02-27T16:20:11Z2023-01-252023-01-25T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/149739TID:203237730enginfo: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:RCAAP2023-07-10T16:12:26ZPortal AgregadorONG
dc.title.none.fl_str_mv Culture effects on business intelligence systems success
title Culture effects on business intelligence systems success
spellingShingle Culture effects on business intelligence systems success
Catarro, Vasco Miguel de Sousa Dias
Business Intelligence
Data-Driven Culture
Innovation Culture
Information Systems
Business Intelligence success
DeLone & McLean
title_short Culture effects on business intelligence systems success
title_full Culture effects on business intelligence systems success
title_fullStr Culture effects on business intelligence systems success
title_full_unstemmed Culture effects on business intelligence systems success
title_sort Culture effects on business intelligence systems success
author Catarro, Vasco Miguel de Sousa Dias
author_facet Catarro, Vasco Miguel de Sousa Dias
author_role author
dc.contributor.none.fl_str_mv Tam Chuem Vai, Carlos
RUN
dc.contributor.author.fl_str_mv Catarro, Vasco Miguel de Sousa Dias
dc.subject.por.fl_str_mv Business Intelligence
Data-Driven Culture
Innovation Culture
Information Systems
Business Intelligence success
DeLone & McLean
topic Business Intelligence
Data-Driven Culture
Innovation Culture
Information Systems
Business Intelligence success
DeLone & McLean
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2023
dc.date.none.fl_str_mv 2023-02-27T16:20:11Z
2023-01-25
2023-01-25T00:00:00Z
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/10362/149739
TID:203237730
url http://hdl.handle.net/10362/149739
identifier_str_mv TID:203237730
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:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
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repository.mail.fl_str_mv
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