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Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems

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Resumo:Intelligent ERPs (Enterprise Resource Planning) and Artificial Intelligence (AI) are two emerging subjects in the academic and organizational spaces. The simple fact of using intelligent tools into ERPs or around it is something that happens a long time. However, in this dissertation, we analyze the new concept of Intelligent Enterprises, most specifically Intelligent ERPs. This new idea aims to be a kind of approach capable of joining different concepts like RPA (Robotic Process Automation), Machine Learning, UX (User Experience), Advanced Analytics, and Dark Analytics in a single integrated information system. Through the use of Design Science Research (DSR) methodology, this research aims to identify the most acceptable definition of an Intelligent ERP, the relation of this concept with Intelligent Enterprises, and the contribution of Artificial Intelligence to the systems. Besides that, we will analyze the actual scenario and propose new kinds of approaches and architectures to add features that can enhance the systems and make it more useful and related to cognitive and intelligent systems.
Autores principais:Silva, Uemerson Augusto de Carvalho
Assunto:Intelligent ERPs Artificial Intelligence Machine Learning Intelligent Enterprises Robotic Process Automation User Experience Advanced Analytics Dark Analytics Inteligência Artificial
Ano:2020
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
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author Silva, Uemerson Augusto de Carvalho
author_facet Silva, Uemerson Augusto de Carvalho
author_role author
contributor_name_str_mv Santos, Vítor Manuel Pereira Duarte dos
RUN
country_str PT
creators_json_txt [{\"Person.name\":\"Silva, Uemerson Augusto de Carvalho\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Santos, Vítor Manuel Pereira Duarte dos
RUN
datacite.creators.creator.creatorName.fl_str_mv Silva, Uemerson Augusto de Carvalho
datacite.date.Accepted.fl_str_mv 2020-06-02T00:00:00Z
datacite.date.available.fl_str_mv 2020-06-15T19:28:11Z
datacite.date.embargoed.fl_str_mv 2020-06-15T19:28:11Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_abf2
datacite.subjects.subject.fl_str_mv Intelligent ERPs
Artificial Intelligence
Machine Learning
Intelligent Enterprises
Robotic Process Automation
User Experience
Advanced Analytics
Dark Analytics
Inteligência Artificial
datacite.titles.title.fl_str_mv Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems
dc.contributor.none.fl_str_mv Santos, Vítor Manuel Pereira Duarte dos
RUN
dc.creator.none.fl_str_mv Silva, Uemerson Augusto de Carvalho
dc.date.Accepted.fl_str_mv 2020-06-02T00:00:00Z
dc.date.available.fl_str_mv 2020-06-15T19:28:11Z
dc.date.embargoed.fl_str_mv 2020-06-15T19:28:11Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10362/99350
dc.language.none.fl_str_mv eng
dc.rights.cclincense.fl_str_mv http://creativecommons.org/licenses/by/4.0/
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.subject.none.fl_str_mv Intelligent ERPs
Artificial Intelligence
Machine Learning
Intelligent Enterprises
Robotic Process Automation
User Experience
Advanced Analytics
Dark Analytics
Inteligência Artificial
dc.title.fl_str_mv Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_bdcc
description Intelligent ERPs (Enterprise Resource Planning) and Artificial Intelligence (AI) are two emerging subjects in the academic and organizational spaces. The simple fact of using intelligent tools into ERPs or around it is something that happens a long time. However, in this dissertation, we analyze the new concept of Intelligent Enterprises, most specifically Intelligent ERPs. This new idea aims to be a kind of approach capable of joining different concepts like RPA (Robotic Process Automation), Machine Learning, UX (User Experience), Advanced Analytics, and Dark Analytics in a single integrated information system. Through the use of Design Science Research (DSR) methodology, this research aims to identify the most acceptable definition of an Intelligent ERP, the relation of this concept with Intelligent Enterprises, and the contribution of Artificial Intelligence to the systems. Besides that, we will analyze the actual scenario and propose new kinds of approaches and architectures to add features that can enhance the systems and make it more useful and related to cognitive and intelligent systems.
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person_str_mv Silva, Uemerson Augusto de Carvalho
publishDate 2020
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spelling engpt_PTIntelligent ERPs (Enterprise Resource Planning) and Artificial Intelligence (AI) are two emerging subjects in the academic and organizational spaces. The simple fact of using intelligent tools into ERPs or around it is something that happens a long time. However, in this dissertation, we analyze the new concept of Intelligent Enterprises, most specifically Intelligent ERPs. This new idea aims to be a kind of approach capable of joining different concepts like RPA (Robotic Process Automation), Machine Learning, UX (User Experience), Advanced Analytics, and Dark Analytics in a single integrated information system. Through the use of Design Science Research (DSR) methodology, this research aims to identify the most acceptable definition of an Intelligent ERP, the relation of this concept with Intelligent Enterprises, and the contribution of Artificial Intelligence to the systems. Besides that, we will analyze the actual scenario and propose new kinds of approaches and architectures to add features that can enhance the systems and make it more useful and related to cognitive and intelligent systems.application/pdfpt_PTIntelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systemsSilva, Uemerson Augusto de CarvalhoSantos, Vítor Manuel Pereira Duarte dosHostingInstitutionOrganizationalRUNe-mailmailto:run@unl.ptrun@unl.ptURNurn:tid:2024856842020-06-15T19:28:11Z2020-06-022020-06-02T00:00:00ZHandlehttp://hdl.handle.net/10362/99350http://purl.org/coar/access_right/c_abf2open accessIntelligent ERPsArtificial IntelligenceMachine LearningIntelligent EnterprisesRobotic Process AutomationUser ExperienceAdvanced AnalyticsDark AnalyticsInteligência Artificial1650840 bytesliteraturehttp://purl.org/coar/resource_type/c_bdccmaster thesis2020-06-02http://creativecommons.org/licenses/by/4.0/http://purl.org/coar/access_right/c_abf2application/pdffulltexthttps://run.unl.pt/bitstreams/0d75d667-7532-40e3-9669-bd4e1284abab/download
spellingShingle Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems
Silva, Uemerson Augusto de Carvalho
Intelligent ERPs
Artificial Intelligence
Machine Learning
Intelligent Enterprises
Robotic Process Automation
User Experience
Advanced Analytics
Dark Analytics
Inteligência Artificial
status SINGLETON
subject.fl_str_mv Intelligent ERPs
Artificial Intelligence
Machine Learning
Intelligent Enterprises
Robotic Process Automation
User Experience
Advanced Analytics
Dark Analytics
Inteligência Artificial
title Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems
title_full Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems
title_fullStr Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems
title_full_unstemmed Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems
title_short Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems
title_sort Intelligent ERPS: a guide to incorporate artificial intelligence into enterprise resource planning systems
topic Intelligent ERPs
Artificial Intelligence
Machine Learning
Intelligent Enterprises
Robotic Process Automation
User Experience
Advanced Analytics
Dark Analytics
Inteligência Artificial
topic_facet Intelligent ERPs
Artificial Intelligence
Machine Learning
Intelligent Enterprises
Robotic Process Automation
User Experience
Advanced Analytics
Dark Analytics
Inteligência Artificial
url http://hdl.handle.net/10362/99350
visible 1