Intelligent ERP: The general concept and a system assessment

Detalhes bibliográficos
Autor(a) principal: Bertram, Yannic
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/142295
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
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spelling Intelligent ERP: The general concept and a system assessmentERPi-ERPIntelligent ERPArtificial IntelligenceRPAMachine LearningData AnalyticsDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementEnterprise Resource Planning (ERP) systems have been developing gradually. A recent development are intelligent ERP systems (i-ERP). The interest in companies is increasing, whilst the offer is low and the path towards a more intelligent ERP is unclear. The problem is that there is no clear concept in academic research. This qualitative study uses Design Science Research Methodology to answer the questions of what an i-ERP is, how it could look like and how to differentiate, assess, and advance system development towards i-ERP. It became clear that i-ERP can be explained with four dimensions (Prerequisite, Data, Process, and User Experience) achieved through the application of intelligent (Artificial Intelligence, Machine Learning, Robotic Process Automation, Data Analytics) and prerequisite technology concepts (Cloud Computing, Big Data, Internet of the Things). A concept of i-ERP could be built, indicating the main features, goals, and role of technologies and the components of i-ERP and their relations could be visualized in a model. To show a possible development path, development steps from traditional towards intelligent ERP were proposed. Taking these as a fundament, a system assessment, and targeted recommendations to advance towards an i-ERP could be created. The proposals were validated through interviews with experts. The usability was demonstrated with a fictional example. Academic value is added by providing a fundamental, conceptual understanding of i-ERP and a path to reach it, opening new research opportunities with and around i-ERP. Practical value is added for system users to comprehend i-ERP and make decisions about use or benefits and for system providers to see what system developments should be considered to staying competitive.Santos, Vitor Manuel Pereira Duarte dosRUNBertram, Yannic2022-07-22T14:06:16Z2022-07-012022-07-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/142295TID:203044797enginfo: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:RCAAP2024-03-11T05:19:54Zoai:run.unl.pt:10362/142295Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:50:15.255404Repositório 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 Intelligent ERP: The general concept and a system assessment
title Intelligent ERP: The general concept and a system assessment
spellingShingle Intelligent ERP: The general concept and a system assessment
Bertram, Yannic
ERP
i-ERP
Intelligent ERP
Artificial Intelligence
RPA
Machine Learning
Data Analytics
title_short Intelligent ERP: The general concept and a system assessment
title_full Intelligent ERP: The general concept and a system assessment
title_fullStr Intelligent ERP: The general concept and a system assessment
title_full_unstemmed Intelligent ERP: The general concept and a system assessment
title_sort Intelligent ERP: The general concept and a system assessment
author Bertram, Yannic
author_facet Bertram, Yannic
author_role author
dc.contributor.none.fl_str_mv Santos, Vitor Manuel Pereira Duarte dos
RUN
dc.contributor.author.fl_str_mv Bertram, Yannic
dc.subject.por.fl_str_mv ERP
i-ERP
Intelligent ERP
Artificial Intelligence
RPA
Machine Learning
Data Analytics
topic ERP
i-ERP
Intelligent ERP
Artificial Intelligence
RPA
Machine Learning
Data Analytics
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies Management
publishDate 2022
dc.date.none.fl_str_mv 2022-07-22T14:06:16Z
2022-07-01
2022-07-01T00:00:00Z
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/10362/142295
TID:203044797
url http://hdl.handle.net/10362/142295
identifier_str_mv TID:203044797
dc.language.iso.fl_str_mv eng
language eng
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