Ash J
Biomedical Information Communication Center, Oregon Health Sciences University, Portland 97201-3098, USA.
J Am Med Inform Assoc. 1997 Mar-Apr;4(2):102-11. doi: 10.1136/jamia.1997.0040102.
To identify the organizational factors which influence the diffusion of end user online literature searching, the computer-based patient record, and electronic mail systems in academic health sciences centers in the United States.
A total of 1335 individuals working in informatics and library areas at 67 academic health sciences centers in the U.S. were surveyed. Multivariate techniques were used to evaluate the relationship between the set of six organizational factors and two measures of innovation diffusion.
A Guttman-like scale was developed to measure infusion, or depth or sophistication, of each of the three innovations at each institution. Diffusion was measured by a question previously developed for another study. Six independent variables were measured via five formerly developed scales and one new one.
The overall response rate was 41%. The set of organizational variables produced significant results in the diffusion of each of the three innovations, with individual variables influencing diffusion to varying degrees. The same set produced significant results in relation to infusion only for online searching. There was little or no correlation between infusion and diffusion for each innovation.
Organizational attributes are important predictors for diffusion of information technology innovations. Individual variables differ in their effect on each innovation. The set of attributes seems less able to predict infusion. It is recommended that both infusion and diffusion be measured in future studies because there is little relation between them. It is further recommended that individuals charged with implementing information technology in the health sciences receive training in managing organizational issues.
确定影响美国学术健康科学中心终端用户在线文献检索、基于计算机的患者记录和电子邮件系统传播的组织因素。
对美国67个学术健康科学中心从事信息学和图书馆领域工作的1335名个人进行了调查。采用多变量技术评估六个组织因素集与两种创新传播指标之间的关系。
开发了一种类似古特曼量表来测量每个机构三种创新中每种创新的融入程度,即深度或复杂程度。传播情况通过先前为另一项研究制定的一个问题来衡量。六个自变量通过五个先前开发的量表和一个新量表进行测量。
总体回复率为41%。组织变量集在三种创新的传播中均产生了显著结果,各个变量对传播的影响程度不同。同一组变量仅在在线检索的融入方面产生了显著结果。每种创新的融入与传播之间几乎没有或不存在相关性。
组织属性是信息技术创新传播的重要预测因素。各个变量对每种创新的影响不同。该属性集似乎较难预测融入情况。建议在未来研究中同时测量融入和传播情况,因为它们之间关系不大。还建议负责在健康科学领域实施信息技术的人员接受管理组织问题方面的培训。