Adoption of video consultations during the Covid-19 pandemic

Detalhes bibliográficos
Autor(a) principal: Pereira, Filipe José Viana
Data de Publicação: 2022
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/135682
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
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spelling Adoption of video consultations during the Covid-19 pandemicVideo consultationsTelemedicineAcceptanceStructural equation modelingDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business IntelligenceVideo consultations have the potential to play a significant role for the future of healthcare. The objective of this dissertation is to explore and understand individual video consultation acceptance drivers. An extended technology acceptance model was created based on the diffusion of innovation theory (DOI), unified theory of acceptance and use of technology (UTAUT), health belief model (HBM), and concerns for information privacy framework (CFIP). The predictors of intention to use are performance expectancy, attitude, and COVID-19. Attitude is statistically influenced by performance expectancy, effort expectancy, and COVID-19. The statistically significant drivers on performance expectancy are results demonstrability, compatibility, effort expectancy, and perceived health risk. The statistically significant drivers on effort expectancy are results demonstrability and compatibility. The model explained 77.6% of the variance on intention to use, and 71.4% of the variance in attitude, evidencing the need to combine different theories to achieve high explanatory power. This study shows that COVID-19 pandemic, perceived health risk, compatibility, and performance expectancy have an important impact on the intention to use video consultations.Tavares, Jorge Manuel Santos FreireOliveira, Tiago André Gonçalves Félix deRUNPereira, Filipe José Viana2024-01-28T01:31:26Z2022-01-282022-01-28T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/135682TID:202981355enginfo: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:RCAAP2024-05-22T18:00:49Zoai:run.unl.pt:10362/135682Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T18:00:49Repositório 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 Adoption of video consultations during the Covid-19 pandemic
title Adoption of video consultations during the Covid-19 pandemic
spellingShingle Adoption of video consultations during the Covid-19 pandemic
Pereira, Filipe José Viana
Video consultations
Telemedicine
Acceptance
Structural equation modeling
title_short Adoption of video consultations during the Covid-19 pandemic
title_full Adoption of video consultations during the Covid-19 pandemic
title_fullStr Adoption of video consultations during the Covid-19 pandemic
title_full_unstemmed Adoption of video consultations during the Covid-19 pandemic
title_sort Adoption of video consultations during the Covid-19 pandemic
author Pereira, Filipe José Viana
author_facet Pereira, Filipe José Viana
author_role author
dc.contributor.none.fl_str_mv Tavares, Jorge Manuel Santos Freire
Oliveira, Tiago André Gonçalves Félix de
RUN
dc.contributor.author.fl_str_mv Pereira, Filipe José Viana
dc.subject.por.fl_str_mv Video consultations
Telemedicine
Acceptance
Structural equation modeling
topic Video consultations
Telemedicine
Acceptance
Structural equation modeling
description Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
publishDate 2022
dc.date.none.fl_str_mv 2022-01-28
2022-01-28T00:00:00Z
2024-01-28T01:31:26Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/135682
TID:202981355
url http://hdl.handle.net/10362/135682
identifier_str_mv TID:202981355
dc.language.iso.fl_str_mv eng
language eng
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.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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