Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/31009
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18268/20495 (89%)
Visitors : 8650783      Online Users : 922
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.cnu.edu.tw/handle/310902800/31009


    题名: An empirical investigation of patients' acceptance and resistance toward the health cloud: The dual factor perspective
    作者: Hsieh, Pi-Jung
    贡献者: Chia Nan Univ Pharm & Sci, Dept Hosp & Hlth Care Adm
    关键词: Health cloud
    Dual factor
    User resistance
    Technology acceptance
    Status quo bias
    日期: 2016-10
    上传时间: 2018-01-18 11:39:44 (UTC+8)
    出版者: Pergamon-Elsevier Science Ltd
    摘要: Recent technological trends such as the health cloud provide a strong infrastructure and offer a true enabler for healthcare services on the Internet. Despite its great potential, gaps exist in our understanding of how users evaluate change related to the health cloud and how they decide to resist it. According to dual factor perspectives, this study develops an integrated model to explain patients' intention to use health cloud services and their intention to resist it. A field survey was conducted in Taiwan to collect data from patients and a structural equation model was used to examine the data. The results show that patient resistance to use the health cloud is caused by suck costs, inertia, perceived value, transition costs, and uncertainty. Performance expectancy, effort expectancy, social influence, and facilitating conditions are shown to have positive and direct effects on patients' intention to use the health cloud. The results also indicate that the relationship between the patients' intention to use the health cloud and their resistance to using it had a significant negative effect. Our study illustrates the importance of incorporating user resistance in technology acceptance studies in general and health technology usage studies in particular. (C) 2016 Elsevier Ltd. All rights reserved.
    關聯: Computers In Human Behavior, v.63, pp.959-969
    显示于类别:[Dept. of Hospital and Health (including master's program)] Periodical Articles

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML2321检视/开启


    在CNU IR中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈