Blockchain technology as an enabler of consumer trust: a text mining literature analysis
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/10071/22153 |
Resumo: | Blockchain (BC) technology is gaining momentum in a variety of application domains, beyond finance. We present a text mining literature analysis of a body of published articles queried in the Scopus database, regarding BC technology and consumer trust. We applied a semiautomated text mining and topic modelling approach: we mix top-down and bottom-up procedures to align the existing literature on BC taxonomies with the gathered article’s list of keywords; we then feed automatically the latent Dirichlet allocation (LDA) algorithm to uncover relevant topics enabling to analyse the existing body of knowledge. Our analysis highlights the multidisciplinary nature of BC research within consumer trust. Among others, findings show pertinent aspects to consumer trust, such as traceability and privacy, are receiving only marginal attention from scholars. Our analysis also reveals the marketing, social and economic sciences’ researchers should devote efforts to the application of BC and its impact to consumer trust. We provide future research trends we deem crucial to be addressed regarding sustainable blockchain trustability. |
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Blockchain technology as an enabler of consumer trust: a text mining literature analysisBlockchainConsumer trustConsumer transparencyPrivacyLiterature analysisTopic modellingBlockchain (BC) technology is gaining momentum in a variety of application domains, beyond finance. We present a text mining literature analysis of a body of published articles queried in the Scopus database, regarding BC technology and consumer trust. We applied a semiautomated text mining and topic modelling approach: we mix top-down and bottom-up procedures to align the existing literature on BC taxonomies with the gathered article’s list of keywords; we then feed automatically the latent Dirichlet allocation (LDA) algorithm to uncover relevant topics enabling to analyse the existing body of knowledge. Our analysis highlights the multidisciplinary nature of BC research within consumer trust. Among others, findings show pertinent aspects to consumer trust, such as traceability and privacy, are receiving only marginal attention from scholars. Our analysis also reveals the marketing, social and economic sciences’ researchers should devote efforts to the application of BC and its impact to consumer trust. We provide future research trends we deem crucial to be addressed regarding sustainable blockchain trustability.Elsevier2023-02-21T00:00:00Z2021-01-01T00:00:00Z20212021-05-04T15:48:35Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10071/22153eng0736-585310.1016/j.tele.2021.101593Ferreira da Silva, C.Moro, S.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:RCAAP2023-11-09T17:47:49Zoai:repositorio.iscte-iul.pt:10071/22153Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:23:13.755750Repositório 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 |
Blockchain technology as an enabler of consumer trust: a text mining literature analysis |
title |
Blockchain technology as an enabler of consumer trust: a text mining literature analysis |
spellingShingle |
Blockchain technology as an enabler of consumer trust: a text mining literature analysis Ferreira da Silva, C. Blockchain Consumer trust Consumer transparency Privacy Literature analysis Topic modelling |
title_short |
Blockchain technology as an enabler of consumer trust: a text mining literature analysis |
title_full |
Blockchain technology as an enabler of consumer trust: a text mining literature analysis |
title_fullStr |
Blockchain technology as an enabler of consumer trust: a text mining literature analysis |
title_full_unstemmed |
Blockchain technology as an enabler of consumer trust: a text mining literature analysis |
title_sort |
Blockchain technology as an enabler of consumer trust: a text mining literature analysis |
author |
Ferreira da Silva, C. |
author_facet |
Ferreira da Silva, C. Moro, S. |
author_role |
author |
author2 |
Moro, S. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Ferreira da Silva, C. Moro, S. |
dc.subject.por.fl_str_mv |
Blockchain Consumer trust Consumer transparency Privacy Literature analysis Topic modelling |
topic |
Blockchain Consumer trust Consumer transparency Privacy Literature analysis Topic modelling |
description |
Blockchain (BC) technology is gaining momentum in a variety of application domains, beyond finance. We present a text mining literature analysis of a body of published articles queried in the Scopus database, regarding BC technology and consumer trust. We applied a semiautomated text mining and topic modelling approach: we mix top-down and bottom-up procedures to align the existing literature on BC taxonomies with the gathered article’s list of keywords; we then feed automatically the latent Dirichlet allocation (LDA) algorithm to uncover relevant topics enabling to analyse the existing body of knowledge. Our analysis highlights the multidisciplinary nature of BC research within consumer trust. Among others, findings show pertinent aspects to consumer trust, such as traceability and privacy, are receiving only marginal attention from scholars. Our analysis also reveals the marketing, social and economic sciences’ researchers should devote efforts to the application of BC and its impact to consumer trust. We provide future research trends we deem crucial to be addressed regarding sustainable blockchain trustability. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01T00:00:00Z 2021 2021-05-04T15:48:35Z 2023-02-21T00:00:00Z |
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/10071/22153 |
url |
http://hdl.handle.net/10071/22153 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0736-5853 10.1016/j.tele.2021.101593 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
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 |
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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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