Maturity model to position and orient organizations through the process automation implementation
Autor(a) principal: | |
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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/10362/150592 |
Resumo: | Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics |
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Maturity model to position and orient organizations through the process automation implementationMaturity ModelsArtificial IntelligenceProcesses AutomationHyperautomationDissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business AnalyticsNowadays, companies are seeking for processes done with a zero error rate enhancing their service quality, while the demand for costs reduction and speed is also increasing. For these reasons, the value of Artificial Intelligence is raising, namely in the area of optimization and processes automation. These concepts lead to a hot topic: Hyperautomation, which aims to achieve an environment where machines are working together with each other or alongside human employees. However, it is not clear what does the introduction of intelligence means in processes. Previous studies have defined maturity models regarding Business Process Management or Industry 4.0, but there is a gap in this topic for the automation area. The Design Science Research Methodology (DSRM) was applied to build a Maturity Model that can help position and orient organizations through the process automation implementation. The model aims to be a framework where the companies can rely to be successful in the journey of automating and optimizing business processes not only by understanding their position but also finding the actions needed to improve. Thus, the Maturity Model incorporates a taxonomy to classify each level as well as a description of what each level represents. Additionally, the proposed Maturity Model provides an evaluation framework.Santos, Vitor Manuel Pereira Duarte dosRUNChumbinho, Beatriz Gonçalves Calado Pereira2023-03-15T17:35:59Z2023-01-272023-01-27T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/150592TID:203247361enginfo: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:RCAAP2024-03-11T05:32:39Zoai:run.unl.pt:10362/150592Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:54:12.626068Repositório 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 |
Maturity model to position and orient organizations through the process automation implementation |
title |
Maturity model to position and orient organizations through the process automation implementation |
spellingShingle |
Maturity model to position and orient organizations through the process automation implementation Chumbinho, Beatriz Gonçalves Calado Pereira Maturity Models Artificial Intelligence Processes Automation Hyperautomation |
title_short |
Maturity model to position and orient organizations through the process automation implementation |
title_full |
Maturity model to position and orient organizations through the process automation implementation |
title_fullStr |
Maturity model to position and orient organizations through the process automation implementation |
title_full_unstemmed |
Maturity model to position and orient organizations through the process automation implementation |
title_sort |
Maturity model to position and orient organizations through the process automation implementation |
author |
Chumbinho, Beatriz Gonçalves Calado Pereira |
author_facet |
Chumbinho, Beatriz Gonçalves Calado Pereira |
author_role |
author |
dc.contributor.none.fl_str_mv |
Santos, Vitor Manuel Pereira Duarte dos RUN |
dc.contributor.author.fl_str_mv |
Chumbinho, Beatriz Gonçalves Calado Pereira |
dc.subject.por.fl_str_mv |
Maturity Models Artificial Intelligence Processes Automation Hyperautomation |
topic |
Maturity Models Artificial Intelligence Processes Automation Hyperautomation |
description |
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-03-15T17:35:59Z 2023-01-27 2023-01-27T00:00:00Z |
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/10362/150592 TID:203247361 |
url |
http://hdl.handle.net/10362/150592 |
identifier_str_mv |
TID:203247361 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799138131794984960 |