2012 IEEE Symposium on Humanities, Science and Engineering Research 2012
DOI: 10.1109/shuser.2012.6268881
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Factors influencing the Thai elderly intention to use smartphone for e-Health services

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Cited by 131 publications
(109 citation statements)
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“…Authors in [1] assessed m-health acceptance and sustainability from healthcare professionals" point of view using task Technology Fit (TTF) model. Third, prior studies of [13], [14], [6], [3] and [17] addressed positive aspects of technology acceptance, paying less attention to the factors that may negatively affect the acceptance of technology. Finally, according to our knowledge and research, no previous assessment model addresses the political and managerial barriers that inhibit mobile health services acceptance [1].…”
Section: Existing Mobile Health Assessment Frameworkmentioning
confidence: 99%
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“…Authors in [1] assessed m-health acceptance and sustainability from healthcare professionals" point of view using task Technology Fit (TTF) model. Third, prior studies of [13], [14], [6], [3] and [17] addressed positive aspects of technology acceptance, paying less attention to the factors that may negatively affect the acceptance of technology. Finally, according to our knowledge and research, no previous assessment model addresses the political and managerial barriers that inhibit mobile health services acceptance [1].…”
Section: Existing Mobile Health Assessment Frameworkmentioning
confidence: 99%
“…People readiness to receive mobile health services are affected by the perspective of other people. Several researches [3] and [13] found that the social influence have a directly affect intention to use. Therefore, we assume that: H4.a: Social influence has a positive effect on intention to use mobile health services.…”
Section: ) Social Influencementioning
confidence: 99%
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