Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/27357
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Campo DCValorIdioma
dc.contributor.authorMoro, S.-
dc.contributor.authorPires, G.-
dc.contributor.authorRita, P.-
dc.contributor.authorCortez, P.-
dc.contributor.authorRamos, R. F.-
dc.date.accessioned2023-01-23T11:18:51Z-
dc.date.available2023-01-23T11:18:51Z-
dc.date.issued2023-
dc.identifier.citationMoro, S., Pires, G., Rita, P., Cortez, P., & Ramos, R. F. (2023). Discovering ethnic minority business research directions using text mining and topic modelling. Journal of Research in Marketing and Entrepreneurship, 25(1), 83-102. http://dx.doi.org/10.1108/JRME-01-2022-0004-
dc.identifier.issn1471-5201-
dc.identifier.urihttp://hdl.handle.net/10071/27357-
dc.description.abstractPurpose: This study aims to unveil within the current academic literature the principal directions in the ethnic entrepreneurship and small business marketing research context. Design/methodology/approach: An automated literature analysis procedure was undertaken, attempting to cover all literature published on the subject since 1962. A total of 188 articles were analysed using text mining and topic modelling. Findings: The results show a lack of framing of ethnic entrepreneurship literature outside the narrower scope of migration. Some core themes were found (e.g. network, diversity) around which several other themes orbit, including both related issues to the ethnic factor (e.g. barriers and minorities) and managerial issues (e.g. marketing and production). Originality/value: Ethnic minority business and small business marketing research has seen a growing number of publications. However, a careful review of existing work is missing.eng
dc.language.isoeng-
dc.publisherEmerald-
dc.rightsopenAccess-
dc.subjectEntrepreneurshipeng
dc.subjectEntrepreneurial marketingeng
dc.subjectSmall business marketingeng
dc.subjectEthnic entrepreneurseng
dc.subjectLiterature analysiseng
dc.titleDiscovering ethnic minority business research directions using text mining and topic modellingeng
dc.typearticle-
dc.pagination83 - 102-
dc.peerreviewedyes-
dc.volume25-
dc.number1-
dc.date.updated2023-01-23T11:17:51Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1108/JRME-01-2022-0004-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
dc.subject.fosDomínio/Área Científica::Ciências Sociais::Economia e Gestãopor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.subject.odsReduzir as desigualdadespor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-90758-
iscte.alternateIdentifiers.wosWOS:000865094400001-
iscte.alternateIdentifiers.scopus2-s2.0-85139679546-
iscte.journalJournal of Research in Marketing and Entrepreneurship-
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