Neuroscience research in consumer behavior: A review and future research agenda
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10071/24821 |
Resumo: | Consumer neuroscience is a growing field in both marketing and consumer behavior research. The number of articles published on the topic has increased exponentially in the last 15 years. However, there is still no compreenshive analysis of the literature highlighting the main constructs, trends and research gaps found in such a large collection of papers. Therefore, this paper provides a text mining (TM) analysis that clusters and systematizes the complex and dispersed information of 469 articles, using the correlated topic model algorithm (CTM). Results show that “consumer neuroscience”, “brand memory”, and “willingness to buy” are the most relevant topics in the field. This study also reveals that the literature has been focusing on ethical concerns as well as on controversial concerns in the use of consumer neuroscience techniques. We include a final section on future research questions and opportunities that emerged from the conducted research. |
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Neuroscience research in consumer behavior: A review and future research agendaConsumer researchConsumer behaviorNeuroscienceText miningCorrelated topic modelsConsumer neuroscience is a growing field in both marketing and consumer behavior research. The number of articles published on the topic has increased exponentially in the last 15 years. However, there is still no compreenshive analysis of the literature highlighting the main constructs, trends and research gaps found in such a large collection of papers. Therefore, this paper provides a text mining (TM) analysis that clusters and systematizes the complex and dispersed information of 469 articles, using the correlated topic model algorithm (CTM). Results show that “consumer neuroscience”, “brand memory”, and “willingness to buy” are the most relevant topics in the field. This study also reveals that the literature has been focusing on ethical concerns as well as on controversial concerns in the use of consumer neuroscience techniques. We include a final section on future research questions and opportunities that emerged from the conducted research.Wiley2024-03-10T00:00:00Z2022-01-01T00:00:00Z20222023-04-01T11:31:55Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/24821eng1470-642310.1111/ijcs.12800Oliveira, P. M.Guerreiro, J.Rita, P.info: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:RCAAP2024-03-17T01:17:02Zoai:repositorio.iscte-iul.pt:10071/24821Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:31:26.970305Repositório 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 |
Neuroscience research in consumer behavior: A review and future research agenda |
title |
Neuroscience research in consumer behavior: A review and future research agenda |
spellingShingle |
Neuroscience research in consumer behavior: A review and future research agenda Oliveira, P. M. Consumer research Consumer behavior Neuroscience Text mining Correlated topic models |
title_short |
Neuroscience research in consumer behavior: A review and future research agenda |
title_full |
Neuroscience research in consumer behavior: A review and future research agenda |
title_fullStr |
Neuroscience research in consumer behavior: A review and future research agenda |
title_full_unstemmed |
Neuroscience research in consumer behavior: A review and future research agenda |
title_sort |
Neuroscience research in consumer behavior: A review and future research agenda |
author |
Oliveira, P. M. |
author_facet |
Oliveira, P. M. Guerreiro, J. Rita, P. |
author_role |
author |
author2 |
Guerreiro, J. Rita, P. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Oliveira, P. M. Guerreiro, J. Rita, P. |
dc.subject.por.fl_str_mv |
Consumer research Consumer behavior Neuroscience Text mining Correlated topic models |
topic |
Consumer research Consumer behavior Neuroscience Text mining Correlated topic models |
description |
Consumer neuroscience is a growing field in both marketing and consumer behavior research. The number of articles published on the topic has increased exponentially in the last 15 years. However, there is still no compreenshive analysis of the literature highlighting the main constructs, trends and research gaps found in such a large collection of papers. Therefore, this paper provides a text mining (TM) analysis that clusters and systematizes the complex and dispersed information of 469 articles, using the correlated topic model algorithm (CTM). Results show that “consumer neuroscience”, “brand memory”, and “willingness to buy” are the most relevant topics in the field. This study also reveals that the literature has been focusing on ethical concerns as well as on controversial concerns in the use of consumer neuroscience techniques. We include a final section on future research questions and opportunities that emerged from the conducted research. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01T00:00:00Z 2022 2023-04-01T11:31:55Z 2024-03-10T00:00:00Z |
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 |
http://hdl.handle.net/10071/24821 |
url |
http://hdl.handle.net/10071/24821 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
1470-6423 10.1111/ijcs.12800 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
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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1799134876338749440 |