Web competitive intelligence methodology

Detalhes bibliográficos
Autor(a) principal: Fonseca, Joaquim Pedro Nogueira da Costa de Castro
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/8227
Resumo: Master’s Degree Dissertation
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spelling Web competitive intelligence methodologyCompetitive intelligenceWorld wide webSemantic webOntologiesWeCIMMaster’s Degree DissertationThe present dissertation covers academic concerns in disruptive change that causes value displacements in today’s competitive economic environment. To enhance survival capabilities organizations are increasing efforts in more untraditional business value assets such intellectual capital and competitive intelligence. Dynamic capabilities, a recent strategy theory states that companies have to develop adaptive capabilities to survive disruptive change and increase competitive advantage in incremental change phases. Taking advantage of the large amount of information in the World Wide Web it is propose a methodology to develop applications to gather, filter and analyze web data and turn it into usable intelligence (WeCIM). In order to enhance information search and management quality it is proposed the use of ontologies that allow computers to “understand” particular knowledge domains. Two case studies were conducted with satisfactory results. Two software prototypes were developed according to the proposed methodology. It is suggested that even a bigger step can be made. Not only the success of the methodology was proved but also common software architecture elements are present which suggests that a solid base can be design for different field applications based on web competitive intelligence tools.Faculdade de Ciências e TecnologiaGrilo, AntónioRUNFonseca, Joaquim Pedro Nogueira da Costa de Castro2012-11-29T15:17:35Z20122012-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/8227enginfo: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:RCAAP2024-03-11T03:40:45Zoai:run.unl.pt:10362/8227Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:18:04.146209Repositório 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 Web competitive intelligence methodology
title Web competitive intelligence methodology
spellingShingle Web competitive intelligence methodology
Fonseca, Joaquim Pedro Nogueira da Costa de Castro
Competitive intelligence
World wide web
Semantic web
Ontologies
WeCIM
title_short Web competitive intelligence methodology
title_full Web competitive intelligence methodology
title_fullStr Web competitive intelligence methodology
title_full_unstemmed Web competitive intelligence methodology
title_sort Web competitive intelligence methodology
author Fonseca, Joaquim Pedro Nogueira da Costa de Castro
author_facet Fonseca, Joaquim Pedro Nogueira da Costa de Castro
author_role author
dc.contributor.none.fl_str_mv Grilo, António
RUN
dc.contributor.author.fl_str_mv Fonseca, Joaquim Pedro Nogueira da Costa de Castro
dc.subject.por.fl_str_mv Competitive intelligence
World wide web
Semantic web
Ontologies
WeCIM
topic Competitive intelligence
World wide web
Semantic web
Ontologies
WeCIM
description Master’s Degree Dissertation
publishDate 2012
dc.date.none.fl_str_mv 2012-11-29T15:17:35Z
2012
2012-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/8227
url http://hdl.handle.net/10362/8227
dc.language.iso.fl_str_mv eng
language eng
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dc.publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
publisher.none.fl_str_mv Faculdade de Ciências e Tecnologia
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