Understanding the use of Virtual Reality in Marketing: a text mining-based review
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: | http://hdl.handle.net/10071/16949 |
Resumo: | The current study intends to highlight the most relevant studies in simulated realities with special attention to VR and marketing, showing how studies have evolved over time and discussing the findings. A text-mining approach using a Bayesian statistical topic model called latent Dirichlet allocation is employed to conduct a comprehensive analysis of 150 articles from 115 journals, all indexed in Web of Science. The findings reveal seven relevant topics, as well as the number of articles published over time, the authors most cited in VR papers and the leading journals in each topic. The article also provides theoretical and practical implications and suggestions for further research. |
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Understanding the use of Virtual Reality in Marketing: a text mining-based reviewVirtual realitySimulated realitiesMarketingText miningThe current study intends to highlight the most relevant studies in simulated realities with special attention to VR and marketing, showing how studies have evolved over time and discussing the findings. A text-mining approach using a Bayesian statistical topic model called latent Dirichlet allocation is employed to conduct a comprehensive analysis of 150 articles from 115 journals, all indexed in Web of Science. The findings reveal seven relevant topics, as well as the number of articles published over time, the authors most cited in VR papers and the leading journals in each topic. The article also provides theoretical and practical implications and suggestions for further research.Elsevier2018-12-13T12:03:15Z2019-11-09T00:00:00Z2019-01-01T00:00:00Z20192019-05-25T12:48:18Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10071/16949eng0148-296310.1016/j.jbusres.2018.10.055Loureiro, S. M. C.Guerreiro, J.Eloy, S.Langaro, D.Panchapakesan, 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:RCAAP2023-11-09T17:41:44Zoai:repositorio.iscte-iul.pt:10071/16949Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:19:27.622096Repositório 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 |
Understanding the use of Virtual Reality in Marketing: a text mining-based review |
title |
Understanding the use of Virtual Reality in Marketing: a text mining-based review |
spellingShingle |
Understanding the use of Virtual Reality in Marketing: a text mining-based review Loureiro, S. M. C. Virtual reality Simulated realities Marketing Text mining |
title_short |
Understanding the use of Virtual Reality in Marketing: a text mining-based review |
title_full |
Understanding the use of Virtual Reality in Marketing: a text mining-based review |
title_fullStr |
Understanding the use of Virtual Reality in Marketing: a text mining-based review |
title_full_unstemmed |
Understanding the use of Virtual Reality in Marketing: a text mining-based review |
title_sort |
Understanding the use of Virtual Reality in Marketing: a text mining-based review |
author |
Loureiro, S. M. C. |
author_facet |
Loureiro, S. M. C. Guerreiro, J. Eloy, S. Langaro, D. Panchapakesan, P. |
author_role |
author |
author2 |
Guerreiro, J. Eloy, S. Langaro, D. Panchapakesan, P. |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Loureiro, S. M. C. Guerreiro, J. Eloy, S. Langaro, D. Panchapakesan, P. |
dc.subject.por.fl_str_mv |
Virtual reality Simulated realities Marketing Text mining |
topic |
Virtual reality Simulated realities Marketing Text mining |
description |
The current study intends to highlight the most relevant studies in simulated realities with special attention to VR and marketing, showing how studies have evolved over time and discussing the findings. A text-mining approach using a Bayesian statistical topic model called latent Dirichlet allocation is employed to conduct a comprehensive analysis of 150 articles from 115 journals, all indexed in Web of Science. The findings reveal seven relevant topics, as well as the number of articles published over time, the authors most cited in VR papers and the leading journals in each topic. The article also provides theoretical and practical implications and suggestions for further research. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-12-13T12:03:15Z 2019-11-09T00:00:00Z 2019-01-01T00:00:00Z 2019 2019-05-25T12:48:18Z |
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/10071/16949 |
url |
http://hdl.handle.net/10071/16949 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0148-2963 10.1016/j.jbusres.2018.10.055 |
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info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
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Elsevier |
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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 |
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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