Neuroscience research in consumer behavior: A review and future research agenda

Detalhes bibliográficos
Autor(a) principal: Oliveira, P. M.
Data de Publicação: 2022
Outros Autores: Guerreiro, J., Rita, P.
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.
id RCAP_d501ef702bda7fee7d3cf251eb6dbda9
oai_identifier_str oai:repositorio.iscte-iul.pt:10071/24821
network_acronym_str RCAP
network_name_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository_id_str 7160
spelling 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)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
_version_ 1799134876338749440