Research trends on Big Data in Marketing
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://doi.org/10.1016/j.iedeen.2017.06.002 |
Resumo: | Amado, A., Cortez, P., Rita, P., & Moro, S. (2018). Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis. European Research on Management and Business Economics, 24(1), 1-7. DOI: 10.1016/j.iedeen.2017.06.002 |
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Research trends on Big Data in MarketingA text mining and topic modeling based literature analysisBig dataLiterature analysisMarketingResearch trendsText miningBusiness and International ManagementMarketingStrategy and ManagementEconomics and EconometricsAmado, A., Cortez, P., Rita, P., & Moro, S. (2018). Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis. European Research on Management and Business Economics, 24(1), 1-7. DOI: 10.1016/j.iedeen.2017.06.002Given the research interest on Big Data in Marketing, we present a research literature analysis based on a text mining semi-automated approach with the goal of identifying the main trends in this domain. In particular, the analysis focuses on relevant terms and topics related with five dimensions: Big Data, Marketing, Geographic location of authors' affiliation (countries and continents), Products, and Sectors. A total of 1560 articles published from 2010 to 2015 were scrutinized. The findings revealed that research is bipartite between technological and research domains, with Big Data publications not clearly aligning cutting edge techniques toward Marketing benefits. Also, few inter-continental co-authored publications were found. Moreover, findings show that research in Big Data applications to Marketing is still in an embryonic stage, thus making it essential to develop more direct efforts toward business for Big Data to thrive in the Marketing arena.NOVA Information Management School (NOVA IMS)Information Management Research Center (MagIC) - NOVA Information Management SchoolRUNAmado, AlexandraCortez, PauloRita, PauloMoro, Sérgio2018-01-11T23:23:50Z20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article7application/pdfhttps://doi.org/10.1016/j.iedeen.2017.06.002eng2444-8834PURE: 3340223http://www.scopus.com/inward/record.url?scp=85021832314&partnerID=8YFLogxKhttps://doi.org/10.1016/j.iedeen.2017.06.002info: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:RCAAP2024-03-11T04:14:59Zoai:run.unl.pt:10362/28033Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:28:51.302007Repositório 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 |
Research trends on Big Data in Marketing A text mining and topic modeling based literature analysis |
title |
Research trends on Big Data in Marketing |
spellingShingle |
Research trends on Big Data in Marketing Amado, Alexandra Big data Literature analysis Marketing Research trends Text mining Business and International Management Marketing Strategy and Management Economics and Econometrics |
title_short |
Research trends on Big Data in Marketing |
title_full |
Research trends on Big Data in Marketing |
title_fullStr |
Research trends on Big Data in Marketing |
title_full_unstemmed |
Research trends on Big Data in Marketing |
title_sort |
Research trends on Big Data in Marketing |
author |
Amado, Alexandra |
author_facet |
Amado, Alexandra Cortez, Paulo Rita, Paulo Moro, Sérgio |
author_role |
author |
author2 |
Cortez, Paulo Rita, Paulo Moro, Sérgio |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
NOVA Information Management School (NOVA IMS) Information Management Research Center (MagIC) - NOVA Information Management School RUN |
dc.contributor.author.fl_str_mv |
Amado, Alexandra Cortez, Paulo Rita, Paulo Moro, Sérgio |
dc.subject.por.fl_str_mv |
Big data Literature analysis Marketing Research trends Text mining Business and International Management Marketing Strategy and Management Economics and Econometrics |
topic |
Big data Literature analysis Marketing Research trends Text mining Business and International Management Marketing Strategy and Management Economics and Econometrics |
description |
Amado, A., Cortez, P., Rita, P., & Moro, S. (2018). Research trends on Big Data in Marketing: A text mining and topic modeling based literature analysis. European Research on Management and Business Economics, 24(1), 1-7. DOI: 10.1016/j.iedeen.2017.06.002 |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-01-11T23:23:50Z 2018 2018-01-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://doi.org/10.1016/j.iedeen.2017.06.002 |
url |
https://doi.org/10.1016/j.iedeen.2017.06.002 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2444-8834 PURE: 3340223 http://www.scopus.com/inward/record.url?scp=85021832314&partnerID=8YFLogxK https://doi.org/10.1016/j.iedeen.2017.06.002 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
7 application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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