Maturity model to position and orient organizations through the process automation implementation

Detalhes bibliográficos
Autor(a) principal: Chumbinho, Beatriz Gonçalves Calado Pereira
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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spelling 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
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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
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