Telemedicine acceptance during the Covid-19 pandemic : an empirical example of robust consistent partial least squares path modeling

Ramírez Correa, Patricio; Ramírez Rivas, Catalina; Alfaro Pérez, Jorge; Mariano, Ari Melo

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Campo DC	Valor	Idioma
dc.contributor.author	Ramírez Correa, Patricio	-
dc.contributor.author	Ramírez Rivas, Catalina	-
dc.contributor.author	Alfaro Pérez, Jorge	-
dc.contributor.author	Mariano, Ari Melo	-
dc.date.accessioned	2020-12-01T17:22:29Z	-
dc.date.available	2020-12-01T17:22:29Z	-
dc.date.issued	2020	-
dc.identifier.citation	RAMÍREZ-CORREA, Patricio et al. Telemedicine acceptance during the Covid-19 pandemic: an empirical example of robust consistent partial least squares path modeling. Symmetry, v. 12, n. 10, 1593, 2020. DOI: https://doi.org/10.3390/sym12101593. Disponível em: https://www.mdpi.com/2073-8994/12/10/1593. Acesso em: 01 dez. 2020.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/39685	-
dc.language.iso	Inglês	pt_BR
dc.publisher	MDPI	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.title	Telemedicine acceptance during the Covid-19 pandemic : an empirical example of robust consistent partial least squares path modeling	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Telemedicina	pt_BR
dc.subject.keyword	Aceitação de tecnologia	pt_BR
dc.subject.keyword	Mínimos quadrados	pt_BR
dc.subject.keyword	Covid-19	pt_BR
dc.rights.license	© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).	pt_BR
dc.identifier.doi	https://doi.org/10.3390/sym12101593	pt_BR
dc.description.abstract1	The explanation of behaviors concerning telemedicine acceptance is an evolving area of study. This topic is currently more critical than ever, given that the COVID-19 pandemic is making resources scarcer within the health industry. The objective of this study is to determine which model, the Theory of Planned Behavior or the Technology Acceptance Model, provides greater explanatory power for the adoption of telemedicine addressing outlier-associated bias. We carried out an online survey of patients. The data obtained through the survey were analyzed using both consistent partial least squares path modeling (PLSc) and robust PLSc. The latter used a robust estimator designed for elliptically symmetric unimodal distribution. Both estimation techniques led to similar results, without inconsistencies in interpretation. In short, the results indicate that the Theory of Planned Behavior Model provides a significant explanatory power. Furthermore, the findings show that attitude has the most substantial direct effect on behavioral intention to use telemedicine systems.	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0001-7089-1505	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0002-2843-7816	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0002-7987-5015	pt_BR
Aparece nas coleções:	Artigos publicados em periódicos e afins UnB - Covid-19