基于计算机的医疗信息系统终端用户满意度的结构方程模型

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE
J. W. Henry, R. W. Stone
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引用次数: 216

摘要

该研究提出了一个理论模型,将计算机自我效能和结果预期以积极的方式与最终用户对信息系统满意度的感知联系起来。此外,该模型提出,管理支持、系统使用的易用性和最终用户以前的计算机经验都对计算机自我效能感和结果预期有类似的积极的、有意义的影响。该理论模型使用384个来自美国东南部一家大型非营利医院的医院工作人员的回答进行了测试。使用的经验技术是带有潜在变量的结构方程。分析结果验证了模型的正确性,并表明该模型合理地反映了用户对信息系统的满意度。具体而言,实证结果表明,管理支持、系统使用的易用性和最终用户以前的计算机经验都对计算机自我效能感和结果期望有显著的正向影响。计算机自我效能感和结果预期对最终用户系统满意度有显著的正向影响。根据这些结果,讨论了管理意义和未来的研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Structural Equation Model Of End-User Satisfaction With A Computer-Based Medical Information System
The research presents a theoretical model linking computer self-efficacy and outcome expectancy in a positive fashion to end-user perceptions of satisfaction with an information system. Further, the model proposes that the antecedents of management support, ease of system use, and end-user previous computer experience all have similar positive, meaningful impacts on both computer self-efficacy and outcome expectancy. The theoretical model is tested using 384 responses from hospital staff members of a large, nonprofit hospital in the southeastern United States. The empirical technique used is structural equations with latent variables. The results of the analysis verify the model and indicate that it provides a reasonable representation of end-user satisfaction with an information system. Specifically, the empirical results show that management support, ease of system use, and end-user previous computer experience all have significant, positive impacts on both computer self-efficacy and outcome expectancy. Computer self-efficacy and outcome expectancy are shown to have significant and positive influences on end-user system satisfaction. From these results, managerial implications and future directions for research are discussed.
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来源期刊
Information Resources Management Journal
Information Resources Management Journal INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
3.60
自引率
7.10%
发文量
44
期刊介绍: Topics should be drawn from, but not limited to, the following areas, with major emphasis on the managerial and organizational aspects of information resource and technology management: •Application of IT to operation •Artificial intelligence and expert systems technologies and issues •Business process management and modeling •Data warehousing and mining •Database management technologies and issues •Decision support and group decision support systems •Distance learning technologies and issues •Distributed software development •E-collaboration •Electronic commerce technologies and issues •Electronic government •Emerging technologies management
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