A decision support system application module - for PESTLE analysis - competitive intelligence algorithm

Detalhes bibliográficos
Autor(a) principal: Simões, Elson Neves
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/94985
Resumo: Project Work report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business Intelligence.
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spelling A decision support system application module - for PESTLE analysis - competitive intelligence algorithmDSSCompetitive IntelligencePESTLEPythonNeural NetworksProject Work report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business Intelligence.In today’s competitive environment, board directors of companies strive to make the right decisions that will put them ahead of their competitors. However due to the volatility of the company’s external environments any decision has its inherent risks. This thesis aims to apply the Python Programming Language to develop a specific module of a Decision Support Tool that intends to predict market movements, trading position and potential, and operations orientation. The module that will be the scope of this thesis will consist in the creation of a predictive model for countries political factors based in public databases with political indexes all over the globe. This module refers to the first factor to consider in a PESTLE analysis.Castelli, MauroMadureira, Luís Alexandre AbrantesRUNSimões, Elson Neves2020-03-25T11:19:07Z2020-03-092020-03-09T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/94985TID:202468429enginfo: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:RCAAP2024-03-11T04:43:00Zoai:run.unl.pt:10362/94985Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:38:10.926970Repositório 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 A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
title A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
spellingShingle A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
Simões, Elson Neves
DSS
Competitive Intelligence
PESTLE
Python
Neural Networks
title_short A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
title_full A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
title_fullStr A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
title_full_unstemmed A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
title_sort A decision support system application module - for PESTLE analysis - competitive intelligence algorithm
author Simões, Elson Neves
author_facet Simões, Elson Neves
author_role author
dc.contributor.none.fl_str_mv Castelli, Mauro
Madureira, Luís Alexandre Abrantes
RUN
dc.contributor.author.fl_str_mv Simões, Elson Neves
dc.subject.por.fl_str_mv DSS
Competitive Intelligence
PESTLE
Python
Neural Networks
topic DSS
Competitive Intelligence
PESTLE
Python
Neural Networks
description Project Work report presented as partial requirement for obtaining the Master’s degree in Information Management, with a specialization in Knowledge Management and Business Intelligence.
publishDate 2020
dc.date.none.fl_str_mv 2020-03-25T11:19:07Z
2020-03-09
2020-03-09T00:00:00Z
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/10362/94985
TID:202468429
url http://hdl.handle.net/10362/94985
identifier_str_mv TID:202468429
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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repository.mail.fl_str_mv
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