Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 model
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Consumer Behavior Review |
Texto Completo: | https://periodicos.ufpe.br/revistas/index.php/cbr/article/view/245815 |
Resumo: | This study aimed to analyze the intention to use fintechs through variables proposed by Venkatesh, Tong and Xu (2012) and Slade et al. (2015). For this, a survey was carried out, with a non-probabilistic sample of 106 respondents. Data were analyzed using tests such as Pearson and Spearman correlation, t test and standard multiple regression, using SPSS software, version 20. As a result, only the expected performance, price value and habit affected the intention to use fintech. Thus, it is up to fintech companies to invest in improving their functionalities, in order to increase performance expectations, improve cost-benefit and influence the habit of using fintech, investing in marketing actions, giving incentives to consumers and managing their relationship with those. |
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Consumer Behavior Review |
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Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 modelAnálise da intenção de uso de fintechs a partir da adaptação do modelo UTAUT2fintechintention to usemultiple regression.fintechsintenção de usoregressão múltipla.This study aimed to analyze the intention to use fintechs through variables proposed by Venkatesh, Tong and Xu (2012) and Slade et al. (2015). For this, a survey was carried out, with a non-probabilistic sample of 106 respondents. Data were analyzed using tests such as Pearson and Spearman correlation, t test and standard multiple regression, using SPSS software, version 20. As a result, only the expected performance, price value and habit affected the intention to use fintech. Thus, it is up to fintech companies to invest in improving their functionalities, in order to increase performance expectations, improve cost-benefit and influence the habit of using fintech, investing in marketing actions, giving incentives to consumers and managing their relationship with those.Esse estudo teve como objetivo analisar a intenção de uso de fintechs por meio de variáveis propostas por Venkatesh, Tong e Xu (2012) e Slade et al. (2015). Para tanto, foi realizado um survey, com uma amostra não probabilística de 106 respondentes. Os dados foram analisados por meio de testes como correlação de Pearson e Spearman, teste T e regressão múltipla padrão, no software SPSS, versão 20. Como resultados, apenas a expectativa de desempenho, valor de preço e hábito afetaram a intenção de uso de fintech. Desse modo, cabe às empresas de fintech investir no aprimoramento das suas funcionalidades, a fim de aumentar a expectativa de desempenho, melhorar o custo-benefício e influenciar hábito de utilizar fintech, investindo em ações de marketing, dando incentivos aos consumidores e gerenciando o seu relacionamento com esses.Universidade Federal de Pernambuco2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa quantitativaapplication/pdfhttps://periodicos.ufpe.br/revistas/index.php/cbr/article/view/24581510.51359/2526-7884.2021.245815CBR - Consumer Behavior Review; Vol. 5 No. 1 (2021): january-april; 77-88CBR - Consumer Behavior Review; v. 5 n. 1 (2021): janeiro-abril; 77-882526-7884reponame:Consumer Behavior Reviewinstname:Universidade Federal de Pernambuco (UFPE)instacron:UFPEporhttps://periodicos.ufpe.br/revistas/index.php/cbr/article/view/245815/37454Copyright (c) 2021 CBR - Consumer Behavior Reviewinfo:eu-repo/semantics/openAccessBatista, KarenAraújo, Marley Rosana Melo deLima, Lucas Gabriel BezerraMartins, Ingrid de Matos2023-05-26T01:59:39Zoai:oai.periodicos.ufpe.br:article/245815Revistahttps://periodicos.ufpe.br/revistas/cbrPUBhttps://periodicos.ufpe.br/revistas/cbr/oaicbr@ufpe.br||periodicos.ufpe@ufpe.br2526-78842526-7884opendoar:2023-05-26T01:59:39Consumer Behavior Review - Universidade Federal de Pernambuco (UFPE)false |
dc.title.none.fl_str_mv |
Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 model Análise da intenção de uso de fintechs a partir da adaptação do modelo UTAUT2 |
title |
Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 model |
spellingShingle |
Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 model Batista, Karen fintech intention to use multiple regression. fintechs intenção de uso regressão múltipla. |
title_short |
Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 model |
title_full |
Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 model |
title_fullStr |
Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 model |
title_full_unstemmed |
Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 model |
title_sort |
Analysis of the intention to use fintechs based on the adaptation of the UTAUT2 model |
author |
Batista, Karen |
author_facet |
Batista, Karen Araújo, Marley Rosana Melo de Lima, Lucas Gabriel Bezerra Martins, Ingrid de Matos |
author_role |
author |
author2 |
Araújo, Marley Rosana Melo de Lima, Lucas Gabriel Bezerra Martins, Ingrid de Matos |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Batista, Karen Araújo, Marley Rosana Melo de Lima, Lucas Gabriel Bezerra Martins, Ingrid de Matos |
dc.subject.por.fl_str_mv |
fintech intention to use multiple regression. fintechs intenção de uso regressão múltipla. |
topic |
fintech intention to use multiple regression. fintechs intenção de uso regressão múltipla. |
description |
This study aimed to analyze the intention to use fintechs through variables proposed by Venkatesh, Tong and Xu (2012) and Slade et al. (2015). For this, a survey was carried out, with a non-probabilistic sample of 106 respondents. Data were analyzed using tests such as Pearson and Spearman correlation, t test and standard multiple regression, using SPSS software, version 20. As a result, only the expected performance, price value and habit affected the intention to use fintech. Thus, it is up to fintech companies to invest in improving their functionalities, in order to increase performance expectations, improve cost-benefit and influence the habit of using fintech, investing in marketing actions, giving incentives to consumers and managing their relationship with those. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Pesquisa quantitativa |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://periodicos.ufpe.br/revistas/index.php/cbr/article/view/245815 10.51359/2526-7884.2021.245815 |
url |
https://periodicos.ufpe.br/revistas/index.php/cbr/article/view/245815 |
identifier_str_mv |
10.51359/2526-7884.2021.245815 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://periodicos.ufpe.br/revistas/index.php/cbr/article/view/245815/37454 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 CBR - Consumer Behavior Review info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 CBR - Consumer Behavior Review |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Pernambuco |
publisher.none.fl_str_mv |
Universidade Federal de Pernambuco |
dc.source.none.fl_str_mv |
CBR - Consumer Behavior Review; Vol. 5 No. 1 (2021): january-april; 77-88 CBR - Consumer Behavior Review; v. 5 n. 1 (2021): janeiro-abril; 77-88 2526-7884 reponame:Consumer Behavior Review instname:Universidade Federal de Pernambuco (UFPE) instacron:UFPE |
instname_str |
Universidade Federal de Pernambuco (UFPE) |
instacron_str |
UFPE |
institution |
UFPE |
reponame_str |
Consumer Behavior Review |
collection |
Consumer Behavior Review |
repository.name.fl_str_mv |
Consumer Behavior Review - Universidade Federal de Pernambuco (UFPE) |
repository.mail.fl_str_mv |
cbr@ufpe.br||periodicos.ufpe@ufpe.br |
_version_ |
1797220395882905600 |