详细信息

UNDERSTANDING THE ACCEPTANCE OF MOBILE HEALTH SERVICES: A COMPARISON AND INTEGRATION OF ALTERNATIVE MODELS    

文献类型:期刊文献

英文题名:UNDERSTANDING THE ACCEPTANCE OF MOBILE HEALTH SERVICES: A COMPARISON AND INTEGRATION OF ALTERNATIVE MODELS

作者:Sun, Yongqiang[1];Wang, Nan[2];Guo, Xitong[3];Peng, Zeyu[4]

机构:[1]Wuhan Univ, Sch Informat Management, Wuhan, Hubei, Peoples R China;[2]Univ Sci & Technol China, USTC CityU Joint Adv Res Ctr, 166 Renai Rd, Suzhou, Jiangsu, Peoples R China;[3]Harbin Inst Technol, Sch Management, Harbin 150006, Heilongjiang, Peoples R China;[4]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China

年份:2013

卷号:14

期号:2

起止页码:183

外文期刊名:JOURNAL OF ELECTRONIC COMMERCE RESEARCH

收录:;WOS:【SSCI(收录号:WOS:000319797200004)】;

语种:英文

外文关键词:mobile health; technology acceptance model (TAM); protection motivation theory (PMT); theory of planned behavior (TPB); the unified theory of use and acceptance of technology (UTAUT)

摘要:The advancement of mobile technology and the increasing importance of health promote the boom in mobile health services (MHS) around the world. Although there have been several studies investigating the health technology acceptance behavior from a variety of theoretical perspectives, they have not provided a unified understanding. To fill this research gap, this paper: (1) reviews the health technology acceptance literature and discusses three prominent models (e. g., the technology acceptance model, the theory of planned behavior or the unified theory of use and acceptance of technology, and the protection motivation theory), (2) empirically compares the three models, and (3) formulates and empirically validates the unified model in the context of mobile health services. In the unified model of health technology acceptance, we propose that users' intention to use mobile health services is determined by five key factors: performance expectancy, effort expectancy, social influence, facilitating conditions, and threat appraisals. The results show that the unified model outperforms the three alternative models by significantly improving the R-squares. Finally, the implications for theory and practice are put forward.

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