Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/12127
Registo completo
Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Guerreiro, J. | - |
dc.contributor.author | Rita, P. | - |
dc.contributor.author | Trigueiros, D. | - |
dc.date.accessioned | 2016-12-02T16:29:55Z | - |
dc.date.available | 2016-12-02T16:29:55Z | - |
dc.date.issued | 2016 | - |
dc.identifier.issn | 0167-4544 | - |
dc.identifier.uri | http://hdl.handle.net/10071/12127 | - |
dc.description.abstract | Cause-related marketing (C-RM) has risen to become a popular strategy to increase business value through profit-motivated giving. Despite the growing number of articles published in the last decade, no comprehensive analysis of the most discussed constructs of cause-related marketing is available. This paper uses an advanced Text Mining methodology (a Bayesian contextual analysis algorithm known as Correlated Topic Model, CTM) to conduct a comprehensive analysis of 246 articles published in 40 different journals between 1988 and 2013 on the subject of cause-related marketing. Text Mining also allows quantitative analyses to be performed on the literature. For instance, it is shown that the most prominent long-term topics discussed since 1988 on the subject are “brand-cause fit”, “law and Ethics”, and “corporate and social identification”, while the most actively discussed topic presently is “sectors raising social taboos and moral debates”. The paper has two goals: first, it introduces the technique of CTM to the Marketing area, illustrating how Text Mining may guide, simplify, and enhance review processes while providing objective building blocks (topics) to be used in a review; second, it applies CTM to the C-RM field, uncovering and summarizing the most discussed topics. Mining text, however, is not aimed at replacing all subjective decisions that must be taken as part of literature review methodologies. | eng |
dc.language.iso | eng | - |
dc.publisher | Springer Verlag | - |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/147442/PT | - |
dc.rights | embargoedAccess | por |
dc.subject | Cause-related marketing | eng |
dc.subject | Text mining | eng |
dc.subject | Topic models | eng |
dc.title | A text mining-based review of cause-related marketing literature | eng |
dc.type | article | - |
dc.pagination | 111 - 128 | - |
dc.publicationstatus | Publicado | por |
dc.peerreviewed | yes | - |
dc.journal | Journal of Business Ethics | - |
dc.distribution | Internacional | por |
dc.volume | 139 | - |
dc.number | 1 | - |
degois.publication.firstPage | 111 | - |
degois.publication.lastPage | 128 | - |
degois.publication.issue | 1 | - |
degois.publication.title | A text mining-based review of cause-related marketing literature | eng |
dc.date.updated | 2019-04-09T11:00:44Z | - |
dc.description.version | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.doi | 10.1007/s10551-015-2622-4 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Sociais::Economia e Gestão | por |
dc.subject.fos | Domínio/Área Científica::Humanidades::Filosofia, Ética e Religião | por |
iscte.subject.ods | Erradicar a pobreza | por |
iscte.subject.ods | Erradicar a fome | por |
iscte.subject.ods | Reduzir as desigualdades | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-23341 | - |
iscte.alternateIdentifiers.wos | WOS:000387284300008 | - |
iscte.alternateIdentifiers.scopus | 2-s2.0-84925655079 | - |
Aparece nas coleções: | BRU-RI - Artigos em revistas científicas internacionais com arbitragem científica DMOG-RI - Artigos em revistas internacionais com arbitragem científica |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
Guerreiro2016_Article_ATextMining-BasedReviewOfCause.pdf Restricted Access | Versão Editora | 1,01 MB | Adobe PDF | Ver/Abrir Request a copy |
Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.