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Although an Internet-of-things (IoT) based smart home solution can provide an improved and better approach to healthcare management, yet its end user adoption is very low. With elderly people as the main target, these conservative users pose a serious challenge to the successful implementation of smart home healthcare services. The objective of this research was to develop and test a theoretical framework empirically for determining the core factors that can affect the elderly users’ acceptance of smart home services for healthcare. Accordingly, an online survey was conducted with 254 elderly people aged 55 years and above across four Asian countries. Partial Least Square Structural Equation Modelling (PLS-SEM) was applied to analyze the effect of eight hypothesized predicting constructs. The user perceptions were measured on a conceptual level rather than the actual usage intention towards a specific service. Performance expectancy, effort expectancy, expert advice, and perceived trust have a positive impact on the behavioral intention. The same association is negative for technology anxiety and perceived cost. Facilitating conditions and social influence do not have any effect on the behavioral intention. The model could explain 81.4% of the total variance in the dependent variable i.e. behavioral intention. Effort expectancy is the leading predictor of smart homes for healthcare acceptance among the elderly. Together with expert advice, perceived trust, and perceived cost, these four factors represent the key influence of the elderly peoples’ acceptance behavior. The present paper provides the groundwork to explore the process of the actual adoption of smart home services for healthcare by the elderly people with potential future research areas. OAPA
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... Investigaciones previas que abordaron la aceptación de las tecnologías de e-Salud indican la importancia del efecto del constructo ED sobre el constructo IC (Pal et al., 2018). ...
... La "Influencia Social" (IS) desempeña una función importante en la aceptación del producto/servicio tecnológico, especialmente en las etapas iniciales del proceso de desarrollo debido a la falta de información para los usuarios (Adapa et al., 2018;Pal et al., 2018). Para la relación entre el constructo "Influencia Social" (IS) e "Intención de Comportamiento" (IC) se utilizaron 24 estudios, con una muestra total de 6278 usuarios (Tabla 2). ...
... A pesar de que la mayoría de los estudios previos sobre la adopción de nuevas tecnologías confirman que los beneficios percibidos de una tecnología influyen positivamente en la intención de las personas mayores de adoptar la tecnología (Cimperman;Makovec Brenčič;Trkman, 2016;Hoque;Sorwar, 2017;Talukder et al., 2020), este análisis no obtuvo resultados significativos para la moderación de la variable "grupo etario" en las relaciones del modelo propuesto. Según Pal et al. (Pal et al., 2018), el resultado no significativo puede explicarse por la falta de confianza en la privacidad de los datos de salud que se compartirán. Debido a la mayor facilidad de seguimiento de los datos provenientes de las tecnologías de la información, es necesario discutir cuestiones éticas sobre el intercambio y uso de la información (Cavalcante et al., 2015). ...
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... "Influência Social" (IS) exerce uma importante função para a aceitação do produto/ serviço tecnológico, principalmente em estágios iniciais do processo de desenvolvimento em razão da carência de informações para os usuários (Adapa et al., 2018;Pal et al., 2018). ...
... Segundo Pal et al., (Pal et al., 2018), o resultado não significativo pode ser explicado pela falta de confiança na privacidade dos dados de saúde a serem compartilhados. A partir da maior facilidade de rastreamento de dados provenientes de tecnologias da informação, torna-se necessário discutir questões éticas para o compartilhamento e a utilização dessas informações (Cavalcante et al., 2015). ...
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... Pesquisas anteriores que abordaram a aceitação de tecnologias e-health indicam a significância do efeito do constructo ED no construto IC (Pal et al., 2018). Apesar disso, alguns estudos na literatura apresentaram valores negativos para essa relação (Enaizan Os usuários percebem um melhor desempenho no gerenciamento de sua saúde quando acreditam que a utilização da e-health não demanda tanto esforço em sua utilização, assim aceitando mais facilmente a tecnologia (Wang et al., 2020). ...
... "Influência Social" (IS) exerce uma importante função para a aceitação do produto/ serviço tecnológico, principalmente em estágios iniciais do processo de desenvolvimento em razão da carência de informações para os usuários (Adapa et al., 2018;Pal et al., 2018). ...
... Segundo Pal et al., (Pal et al., 2018), o resultado não significativo pode ser explicado pela falta de confiança na privacidade dos dados de saúde a serem compartilhados. A partir da maior facilidade de rastreamento de dados provenientes de tecnologias da informação, torna-se necessário discutir questões éticas para o compartilhamento e a utilização dessas informações (Cavalcante et al., 2015). ...
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... Developing human activity recognition systems for ambient settingssuch as smart homes-is essential to providing assistance, aid and support to residents [2,6]. Prior works have shown that such applications provide support for diverse populations -from monitoring activities of the elderly population to technologically assisting the "sandwich generation" in their daily life [8,28,35,36]. With the decrease in automation costs and ease of instrumenting smart homes, Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. ...
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