Roadmap to Process Excellence: Integration of Process Mining into Business Process Management Life - Cycle

Detalhes bibliográficos
Autor(a) principal: Lourenço, Rita da Costa
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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spelling 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
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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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