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User Satisfaction of Maternal and Infant Healthcare Apps in China and How to Improve Them
Högskolan Väst, Institutionen för ekonomi och it, Avd för informatik.
2017 (engelsk)Independent thesis Advanced level (degree of Master (One Year)), 10 poäng / 15 hpOppgave
Abstract [en]

With the increased number of mothers and newborns as well as the increased tendency to use smartphones to gather healthcare information, mobile healthcare app markets have great potential in China. However, little work has been done on users' satisfaction of Chinese maternal and infant health apps. The purpose of this study is to determine what factors influence users' satisfaction and how to improve them. The triangulation method has been selected for doing this research. In the first step, a questionnaire was used to verify the influential factors that contribute to a positive influence on users' satisfaction. Further, adopted interviews were used to investigate the specific requirement from users' perspective. The empirical findings show the user's expectation and perceived quality of the product has a positive influence on user's satisfaction and intention to use the app. In the next step I analyzed how to improve the apps from the users' perspective. The research findings presented in this thesis will help to evaluate mobile apps relating to maternal and infant health in China, and could thus be beneficial to different actors through adherence to the following advice: enterprises should conduct user surveys and usability tests to understand their customers' needs, and use this information in the products before sending to the market, the timely tracking of users is also needed to gain knowledge of the users' experience with the app, and further improve it; the government should enact related laws concerning the apps as soon as possible; and users should enhance their judgment of the information content and resist blindly believing the apps.

sted, utgiver, år, opplag, sider
2017. , s. 47
Emneord [en]
Smartphones, healthcare, apps
HSV kategori
Identifikatorer
URN: urn:nbn:se:hv:diva-11103Lokal ID: EXI802OAI: oai:DiVA.org:hv-11103DiVA, id: diva2:1119372
Fag / kurs
Informatics
Utdanningsprogram
Informatik
Veileder
Examiner
Tilgjengelig fra: 2017-07-04 Laget: 2017-07-04 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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