A mixed methods UTAUT2-based approach to assess mobile health adoption

Detalhes bibliográficos
Autor(a) principal: Duarte, Paulo
Data de Publicação: 2019
Outros Autores: Pinho, José Carlos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.6/7098
Resumo: Drawing on UTAUT2, this study examines the number of causal recipes that foster mHealth adoption, using a mixed approach combining Partial Least Squares (PLS-SEM) and fuzzy-set qualitative comparative analysis. Two general research propositions are assessed using data collected through a survey administered to 120 mHealth users. The findings point that PLS-SEM and fsQCA are complementary analytical approaches providing comparable results. PLS-SEM indicates that performance expectancy, hedonic motivation, and habit have the ability to predict mHealth adoption, while fsQCA reveals six configurations including the factors identified by PLS-SEM. The findings suggest that several conditions that were not significant in PLS-SEM are in fact sufficient conditions when combined with other conditions. For practitioners concerned with fostering mHealth adoption, the findings stress the importance of adopting an integrated approach centered on performance expectancy, facilitating conditions, and habit, targeting well-educated young women. The existence of multiple solutions also points to the presence of equifinality.
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spelling A mixed methods UTAUT2-based approach to assess mobile health adoptionUma abordagem mista baseada na UTAUT2 para avaliar a adoção de aplicações móveis de saúdeMobile HealthTechnology AdoptionUTAUT2PatientsHealth CareUser PerceptionConsumer BehaviourPLSfsQCAQualitative Comparative AnalysisDrawing on UTAUT2, this study examines the number of causal recipes that foster mHealth adoption, using a mixed approach combining Partial Least Squares (PLS-SEM) and fuzzy-set qualitative comparative analysis. Two general research propositions are assessed using data collected through a survey administered to 120 mHealth users. The findings point that PLS-SEM and fsQCA are complementary analytical approaches providing comparable results. PLS-SEM indicates that performance expectancy, hedonic motivation, and habit have the ability to predict mHealth adoption, while fsQCA reveals six configurations including the factors identified by PLS-SEM. The findings suggest that several conditions that were not significant in PLS-SEM are in fact sufficient conditions when combined with other conditions. For practitioners concerned with fostering mHealth adoption, the findings stress the importance of adopting an integrated approach centered on performance expectancy, facilitating conditions, and habit, targeting well-educated young women. The existence of multiple solutions also points to the presence of equifinality.Com base na UTAUT2, este estudo examina o número de receitas causais que promovem a adoção de saúde móvel, usando uma abordagem mista combinando Partial Least Squares (PLS-SEM) e análise comparativa qualitativa de conjuntos difusos. Duas proposições gerais de pesquisa são avaliadas usando os dados coletados por meio de uma pesquisa administrada a 120 usuários do mHealth. Os resultados apontam que o PLS-SEM e o fsQCA são abordagens analíticas complementares que fornecem resultados comparáveis. O PLS-SEM indica que a expectativa de desempenho, a motivação hedônica e o hábito têm a capacidade de prever a adoção de saúde móvel, enquanto o fsQCA revela seis configurações, incluindo os fatores identificados por PLS-SEM. Os resultados sugerem que várias condições que não eram signi fi cativas em PLS-SEM são, de fato, condições suficientes quando combinadas com outras condições. Para os profissionais preocupados em promover a adoção da saúde móvel, os resultados ressaltam a importância de adotar uma abordagem integrada centrada na expectativa de desempenho, condições facilitadoras e hábito, visando mulheres jovens com bom nível de instrução. A existência de múltiplas soluções também aponta para a presença de equidade.Elsevier, Inc.uBibliorumDuarte, PauloPinho, José Carlos2022-05-30T00:30:17Z2019-05-302019-05-30T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.6/7098eng0148-296310.1016/j.jbusres.2019.05.022info: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:RCAAP2024-11-27T12:22:38Zoai:ubibliorum.ubi.pt:10400.6/7098Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-11-27T12:22:38Repositório 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 A mixed methods UTAUT2-based approach to assess mobile health adoption
Uma abordagem mista baseada na UTAUT2 para avaliar a adoção de aplicações móveis de saúde
title A mixed methods UTAUT2-based approach to assess mobile health adoption
spellingShingle A mixed methods UTAUT2-based approach to assess mobile health adoption
Duarte, Paulo
Mobile Health
Technology Adoption
UTAUT2
Patients
Health Care
User Perception
Consumer Behaviour
PLS
fsQCA
Qualitative Comparative Analysis
title_short A mixed methods UTAUT2-based approach to assess mobile health adoption
title_full A mixed methods UTAUT2-based approach to assess mobile health adoption
title_fullStr A mixed methods UTAUT2-based approach to assess mobile health adoption
title_full_unstemmed A mixed methods UTAUT2-based approach to assess mobile health adoption
title_sort A mixed methods UTAUT2-based approach to assess mobile health adoption
author Duarte, Paulo
author_facet Duarte, Paulo
Pinho, José Carlos
author_role author
author2 Pinho, José Carlos
author2_role author
dc.contributor.none.fl_str_mv uBibliorum
dc.contributor.author.fl_str_mv Duarte, Paulo
Pinho, José Carlos
dc.subject.por.fl_str_mv Mobile Health
Technology Adoption
UTAUT2
Patients
Health Care
User Perception
Consumer Behaviour
PLS
fsQCA
Qualitative Comparative Analysis
topic Mobile Health
Technology Adoption
UTAUT2
Patients
Health Care
User Perception
Consumer Behaviour
PLS
fsQCA
Qualitative Comparative Analysis
description Drawing on UTAUT2, this study examines the number of causal recipes that foster mHealth adoption, using a mixed approach combining Partial Least Squares (PLS-SEM) and fuzzy-set qualitative comparative analysis. Two general research propositions are assessed using data collected through a survey administered to 120 mHealth users. The findings point that PLS-SEM and fsQCA are complementary analytical approaches providing comparable results. PLS-SEM indicates that performance expectancy, hedonic motivation, and habit have the ability to predict mHealth adoption, while fsQCA reveals six configurations including the factors identified by PLS-SEM. The findings suggest that several conditions that were not significant in PLS-SEM are in fact sufficient conditions when combined with other conditions. For practitioners concerned with fostering mHealth adoption, the findings stress the importance of adopting an integrated approach centered on performance expectancy, facilitating conditions, and habit, targeting well-educated young women. The existence of multiple solutions also points to the presence of equifinality.
publishDate 2019
dc.date.none.fl_str_mv 2019-05-30
2019-05-30T00:00:00Z
2022-05-30T00:30:17Z
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/10400.6/7098
url http://hdl.handle.net/10400.6/7098
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 0148-2963
10.1016/j.jbusres.2019.05.022
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 Elsevier, Inc.
publisher.none.fl_str_mv Elsevier, Inc.
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 mluisa.alvim@gmail.com
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