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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

User Acceptance in mHealth industry : A quantitative study of mHealth application in China based on UTAUT2 Model

hu, yueying January 2019 (has links)
Background: The market of mHealth has been growing steadily over last years, but in China, the market is not very mature, and the low level of popularity negative impact on the development. But it should be noted that the market has great potential with positive development background, the policy support by government, the widely used of smartphone and the Internet and especially the huge demand of mHealth in China.   Purpose: The purpose of the study was to reveals Chinese mHealth industry, to measure and understand the relationship between different factors that influencing the acceptance of mHealth apps in the case of Chinese users.   Method: This study was based on the UTAUT2 Model and a quantitative methodology was followed. The author excluded price value and habit from the original UTAUT and added privacy and security factor. A primary data collection was conducted through a questionnaire in this research. Suitable respondents were those individuals who needed healthcare services, and due to the budget and time limitation, a convenience sampling technique was used.   Conclusion:       The findings show that social influence makes the strongest contribution to explaining users’ acceptance of mHealth app in China. The whole ranking of the factors (from strong to weak) is social influence > privacy and security > facilitating condition > performance expectancy. And except privacy and security, other factors are all positively affect the acceptance of Chinese mHealth app users. Organisations can use these findings to improve the design of mHealth apps in the future.

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