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Adoption of video consultations during the Covid-19 pandemic

2022-01-28Dissertação de mestrado Acesso aberto
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dc.contributor.advisorTavares, Jorge Manuel Santos Freire
dc.contributor.advisorOliveira, Tiago André Gonçalves Félix de
dc.contributor.authorPereira, Filipe José Viana
dc.date.accessioned2022-04-01T15:49:58Z
dc.date.available2024-01-28T01:31:26Z
dc.date.issued2022-01-28
dc.descriptionDissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligencept_PT
dc.description.abstractVideo 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.pt_PT
dc.identifier.tid202981355pt_PT
dc.identifier.urihttp://hdl.handle.net/10362/135682
dc.language.isoengpt_PT
dc.subjectVideo consultationspt_PT
dc.subjectTelemedicinept_PT
dc.subjectAcceptancept_PT
dc.subjectStructural equation modelingpt_PT
dc.titleAdoption of video consultations during the Covid-19 pandemicpt_PT
dc.typemaster thesis
dspace.entity.typePublication
rcaap.embargofct"(...) por o artigo estar em revisão (...)"pt_PT
rcaap.rightsopenAccesspt_PT
rcaap.typemasterThesispt_PT
thesis.degree.nameMestrado em Gestão de Informação, especialização em Gestão do Conhecimento e Inteligência de Negócio (Business Intelligence)pt_PT

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NIMS - Dissertações de Mestrado em Gestão da Informação (Information Management)