Modeling the adoption of medical wearable devices among the senior adults: Using hybrid SEM-neural network approach.

Xinyan, Zou; Mamun, Abdullah Al; Ali, Mohd Helmi; Siyu, Long; Yang, Qing; Hayat, Naeem

Xinyan, Zou; Mamun, Abdullah Al; Ali, Mohd Helmi; Siyu, Long; Yang, Qing; Hayat, Naeem.

Afiliación

Xinyan Z; UCSI Graduate Business School, UCSI University, Kuala Lumpur, Malaysia.
Mamun AA; UKM - Graduate School of Business, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Ali MH; UKM - Graduate School of Business, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Siyu L; UKM - Graduate School of Business, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Yang Q; UKM - Graduate School of Business, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Hayat N; Global Entrepreneurship Research and Innovation Centre, Universiti Malaysia Kelantan, Kota Bharu, Kelantan, Malaysia.

Front Public Health ; 10: 1016065, 2022.

Article en En | MEDLINE | ID: mdl-36388276

Asunto(s)

Redes Neurales de la Computación; Dispositivos Electrónicos Vestibles; Reproducibilidad de los Resultados; Estudios Transversales; Estudios Prospectivos

Palabras clave

intention and adoption; public health; senior adult; unified theory of acceptance and use of technology; wearable healthcare device

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación / Dispositivos Electrónicos Vestibles Tipo de estudio: Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Public Health Año: 2022 Tipo del documento: Article País de afiliación: Malasia

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