Cargando…
A Task-Technology-Identity Fit Model of Smartwatch Utilisation and User Satisfaction: A Hybrid SEM-Neural Network Approach
Smartwatches are wearable devices intended to be smartphone companions that capture health data and ease access to notifications. They have also become personalisable standing as a fashion statement. This combination resulted in staggering adoption rates recently leading to question whether smartwat...
Autores principales: | El-Masri, Mazen, Al-Yafi, Karim, Kamal, Muhammad Mustafa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8966600/ https://www.ncbi.nlm.nih.gov/pubmed/35378907 http://dx.doi.org/10.1007/s10796-022-10256-7 |
Ejemplares similares
-
Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19
por: Uzir, Md Uzir Hossain, et al.
Publicado: (2021) -
Older Adults' Satisfaction and Compliance of Smartwatches Providing Ecological Momentary
por: Laborde, Charlotte, et al.
Publicado: (2020) -
Customer retention through service quality and satisfaction: using hybrid SEM-neural network analysis approach
por: Salamah, Anas A., et al.
Publicado: (2022) -
Dataset of fitness trackers and smartwatches to measuring physical activity in research
por: Henriksen, André, et al.
Publicado: (2022) -
Applied artificial intelligence: Acceptance-intention-purchase and satisfaction on smartwatch usage in a Ghanaian context
por: Uzir, Md Uzir Hossain, et al.
Publicado: (2023)