Prediction of internet and World Wide Web usage at work: a test of an extended triandis model
Decision Support Systems
An extension of the technology acceptance model in an ERP implementation environment
Information and Management
Pervasive healthcare and wireless health monitoring
Mobile Networks and Applications
Examining the success factors for mobile work in healthcare: A deductive study
Decision Support Systems
Remote health monitoring adoption model based on artificial neural networks
Expert Systems with Applications: An International Journal
Methodological Review: The Technology Acceptance Model: Its past and its future in health care
Journal of Biomedical Informatics
An empirical analysis of factors influencing users' adoption and use of mobile services in China
International Journal of Mobile Communications
Explaining physicians' acceptance of EHCR systems: An extension of TAM with trust and risk factors
Computers in Human Behavior
The adoption of mobile healthcare by hospital's professionals: An integrative perspective
Decision Support Systems
Determinants of adoption of Mobile Healthcare Service
International Journal of Mobile Communications
The adoption of computer security: an analysis of home personal computer user behavior using the health belief model
International Journal of Information Management: The Journal for Information Professionals
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With the rapid development of mobile communication technology, the increase in the usage rate of mobile phones, recent advances in healthcare technology and current concerns arising over public health, mobile health has been attracting increasing attention. Although previous studies on the adoption of mobile services are quite extensive, few focus on public users' adoption of mobile health service MHS. In this study, we examine the determinants of user adoption of mobile health service based on the technology acceptance model TAM and health belief model HBM. We find that perceived usefulness and benefits, perceived barriers and external cues positively affect user attitude toward MHS. Likewise, perceived service availability significantly influences the perceived ease of use as well as perceived usefulness and benefits, which with attitude directly enhances intention. We also find that the usage purpose of MHS has moderating effects. Finally, implications for mobile health marketing are discussed.