中山醫學大學機構典藏 CSMUIR:Item 310902500/25034
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 17918/22933 (78%)
造访人次 : 7472610      在线人数 : 200
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.csmu.edu.tw:8080/ir/handle/310902500/25034


    题名: The inhibiting effects of resistance to change of disability determination system: a status quo bias perspective
    作者: Chi, WC;Lin, PJ;Chang, IC;Chen, SL
    关键词: Status quo bias;Technology acceptance model;Resistance to change
    日期: 2020
    上传时间: 2022-08-09T09:27:22Z (UTC)
    出版者: BMC
    摘要: BackgroundInformation systems implementation projects have been historically plagued by failures for which user resistance has consistently been identified as a salient reason. Most prior studies investigated either the causes or the consequences of Resistance to Change (RTC) of medical related Information Systems. In this study, we simultaneously explore the causes and impacts of RTC of Disability Determination System (DDS).MethodsThis study adopts the Status Quo Bias perspective and combines the information systems usage model and Technology Acceptance Model (TAM) as theoretical foundation to investigates the causes and impacts of users' RTC on their intention to use the DDS. Data were obtained through internet questionnaire survey. Totally, 326 respondents from 22 local governments and 142 hospitals were collected, of which 252 were valid samples and were analyzed using structure model analysis.ResultsThe research model is proved with eight out of 11 hypotheses being supported. The antecedents of RTC can explain 21.4% of the RTC variation, and the RTC impacts can explain 57.5% of the variation of intention to use DDS.ConclusionsCombining the Status Quo Bias perspective and key component of TAM provides an adequate explanation of adopting intention of changing systems and extend the existing knowledge of information systems adoption. The results provide as a reference for managing users' RTC and enhance the effects and efficiency of new systems adoption.
    URI: http://dx.doi.org/10.1186/s12911-020-1090-7
    https://www.webofscience.com/wos/woscc/full-record/WOS:000531333200005
    https://ir.csmu.edu.tw:8080/handle/310902500/25034
    關聯: BMC MEDICAL INFORMATICS AND DECISION MAKING ,2020 ,v20 ,issue 1
    显示于类别:[中山醫學大學研究成果] 其他文獻

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML180检视/开启


    SFX Query

    在CSMUIR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