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Pervasive Marketing Intelligence

datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia
datacite.subject.fosCiências Sociais
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg12:Produção e Consumo Sustentáveis
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorGuarda, Teresa
dc.contributor.authorPinto, Filipe Mota
dc.date.accessioned2026-01-26T14:47:02Z
dc.date.available2026-01-26T14:47:02Z
dc.date.issued2015
dc.descriptionInternational Conference on Computer Information Systems and Industrial Applications (CISIA 2015) Series: Advances in Computer Science Research
dc.descriptionInternational Journal of Applied Engineering Research (IJAER) (Discontinued in Scopus as of 2017) https://www.ripublication.com/ijaer.htm
dc.description.abstractCurrently, the complexity of the business environment requires companies to be agile and proactive, for that companies must learn to know themselves and to the market through the collection and analysis of quality information. A successful business strategy requires a raising awareness about the external environment of organizations, including customers, competitors, industry structure and competitive forces. In this context, we intend to develop a research framework that can assist decision makers in emerging economies. The proposed framework was evaluated by a expert panel, for that, it was applied the Delphi methodology to assess the framework. We hope that this research will be considered as a contribution to a better understanding of the application of Marketing Intelligence in Pervasive Business Intelligence systems, which will enable organizations can achieve and maintain a competitive advantage.eng
dc.description.sponsorshipAcknowledgements This work has been supported by FCT –Fundaçãopara a Ciência Tecnologia within the Project Scope UID/CEC/00319/2013.
dc.identifier.citationGuarda, Teresa & Pinto, Filipe. (2015). A framework for pervasive marketing intelligence. International Journal of Applied Engineering Research.
dc.identifier.doi10.2991/cisia-15.2015.144
dc.identifier.issn09734562
dc.identifier.urihttp://hdl.handle.net/10400.8/15494
dc.language.isoeng
dc.peerreviewedyes
dc.publisherResearch India Publications
dc.relationALGORITMI Research Centre
dc.relation.hasversionhttps://www.atlantis-press.com/proceedings/cisia-15/22578
dc.relation.ispartofAdvances in Computer Science Research
dc.relation.ispartofProceedings of the International Conference on Computer Information Systems and Industrial Applications
dc.relation.ispartofseries246
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectBusiness intelligence
dc.subjectMarketing intelligence
dc.subjectPervasive business intelligence
dc.subjectPervasive marketing intelligence
dc.titlePervasive Marketing Intelligenceeng
dc.title.alternativeA framework for pervasive marketing intelligenceeng
dc.title.alternativeInternational Conference on Computer Information Systems and Industrial Applications (CISIA 2015)eng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardTitleALGORITMI Research Centre
oaire.awardURIhttp://hdl.handle.net/10400.8/14276
oaire.citation.issue69
oaire.citation.titleInternational Conference on Computer Information Systems and Industrial Applications (CISIA 2015)
oaire.citation.volume10
oaire.fundingStreamFinanciamento do Plano Estratégico de Unidades de I&D - 2019
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMota Pinto
person.givenNameFilipe
person.identifier.orcid0000-0001-7634-0296
relation.isAuthorOfPublication908ef8f4-823a-41fd-8184-287f872b943c
relation.isAuthorOfPublication.latestForDiscovery908ef8f4-823a-41fd-8184-287f872b943c
relation.isProjectOfPublication5332dae8-24de-4374-b26a-bbdca38108af
relation.isProjectOfPublication.latestForDiscovery5332dae8-24de-4374-b26a-bbdca38108af

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