Prediction of the intention to use a smartwatch: A comparative approach using machine learning and partial least squares structural equation modeling

Prediction of the intention to use a smartwatch: A comparative approach using machine learning and partial least squares structural equation modeling

This study makes use of a cohesive yet innovative research model to identify the determinants of the adoption of smart watches using constructs from the Technology Acceptance Model (TAM) and constructs of smartwatches, including effectiveness, content richness, and personal innovativeness. The chief...

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Bibliographic Details
Main Authors: Ashraf Elnagar, Noha Alnazzawi, Imad Afyouni, Ismail Shahin, Ali Bou Nassif, Said A. Salloum
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Content richness
Effectiveness
Personal innovativeness
Smart watches
Structural equation modeling
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914822000636

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http://www.sciencedirect.com/science/article/pii/S2352914822000636

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