NDLI: Understanding the acceptance of mobile health services: A service participants analysis

Content Provider	IEEE Xplore Digital Library
Author	Guo Xi-tong Yuan Jin-qiao Cao Xiong-fei Chen Xiao-dong
Copyright Year	2012
Description	Author affiliation: School of Management, University of Science and Technology of China, China, 230051 (Cao Xiong-fei) \|\| School of Management, Harbin Institute of Technology, China, 150001 (Guo Xi-tong; Yuan Jin-qiao) \|\| Shanghai Advanced Research Institute, Chinese Academy of Sciences, China, 200000 (Chen Xiao-dong)
Abstract	With the emergence of electronic medical information, mobile health service has been becoming increasingly popular around the world. In order to understand factors affecting the acceptance of mobile health services, our study investigate determinants from perspective of service participants. Based on the technology acceptance model (TAM), this paper also provides a better understanding of antecedents of key acceptance constructs (e.g., perceived usefulness). During the research, the proposed research model and hypotheses were validated with data collected from a field survey of 492 subjects. The results reveal that: (1) while perceived easy of use significantly associates with perceived usefulness, the impact of perceived easy of use and perceived usefulness on adoption intention are insignificant. (2) Outcome quality is positively influences perceived usefulness; (3) Social norm is positively associated with adoption intention and perceived usefulness as well. Finally, the theoretical and practical implications and contributions of this study are discussed.
Starting Page	1868
Ending Page	1873
File Size	281679
Page Count	6
File Format	PDF
ISBN	9781467330152
ISSN	21551855
e-ISBN	9781467330145
DOI	10.1109/ICMSE.2012.6414426
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Medical services outcome quality resistance to change Mobile communication Social factors social norm technology anxiety Reliability Mathematical model mobile health service adoption intention Load modeling
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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