Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle
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/10362/159986 |
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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7160 |
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Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - CycleBusiness Process ManagementDataProcessEmergng TechnologiesProcess MiningAgileData driveSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceBusiness Process Management (BPM) is a management discipline that has gained recognition as a crucial factor for organizational success. Its primary focus is on documenting and redesigning processes to enhance process performances, gain awareness of the reality of the processes and tackle process inefficiencies across various business areas. However, current implementations of BPM often fail to fully exploit its potential benefits, leading to blocked initiatives. This happens since the dynamic nature of business environments and the rapid pace of change necessitate a flexible framework for BPM that can effectively handle these challenges. Unfortunately, there is a lack of a cohesive and structured theoretical foundation to address the pitfalls of BPM, which the basis reside on the subjectivity of BPM initiatives and the lack of process real perception. This paper aims to introduce an integrative and technology-based holistic framework that enhances the agility and flexibility of BPM implementation, by integrating emerging technologies, that promote agile solutions like Process Mining, and addressing the limitations of current BPM frameworks, this new framework aims to provide actionable recommendations for practitioners and organizations to use. The paper discusses the current issues and controversies surrounding non-agile BPM applications, explores the potential of emerging technologies for agile BPM, presents an agile BPM framework using Process Mining emerging technology, and assesses the impact of process mining on BPM agility through a questionnaire-based survey. Through an extensive review of existing literature and insights from BPM and Process Mining experts, this paper contributes to the development of a practical and adaptable framework for BPM to enhance processes across organizations and promote data driven process insights and decision.Jesus, Frederico Miguel Campos Cruz Ribeiro deNeves, Joana Paisana Pires Costa dasRUNLourenço, Rita da Costa2023-10-242026-10-24T00:00:00Z2023-10-24T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/159986TID:203388283enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:42:31Zoai:run.unl.pt:10362/159986Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:57:48.408526Repositório 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 |
Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle |
title |
Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle |
spellingShingle |
Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle Lourenço, Rita da Costa Business Process Management Data Process Emergng Technologies Process Mining Agile Data drive SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
title_short |
Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle |
title_full |
Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle |
title_fullStr |
Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle |
title_full_unstemmed |
Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle |
title_sort |
Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle |
author |
Lourenço, Rita da Costa |
author_facet |
Lourenço, Rita da Costa |
author_role |
author |
dc.contributor.none.fl_str_mv |
Jesus, Frederico Miguel Campos Cruz Ribeiro de Neves, Joana Paisana Pires Costa das RUN |
dc.contributor.author.fl_str_mv |
Lourenço, Rita da Costa |
dc.subject.por.fl_str_mv |
Business Process Management Data Process Emergng Technologies Process Mining Agile Data drive SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
topic |
Business Process Management Data Process Emergng Technologies Process Mining Agile Data drive SDG 8 - Decent work and economic growth SDG 9 - Industry, innovation and infrastructure Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação |
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 |
2023-10-24 2023-10-24T00:00:00Z 2026-10-24T00:00:00Z |
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/10362/159986 TID:203388283 |
url |
http://hdl.handle.net/10362/159986 |
identifier_str_mv |
TID:203388283 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
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) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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