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BI End-User Segments in the Public Health Sector

机译:BI最终用户段在公共卫生部门

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摘要

In public health services, business intelligence (BI) is used by medical secretaries, nurses, doctors and economists. Although some research has investigated the use of information systems in this regard, the results have been inconclusive. One explanation could be unobserved heterogeneity. This paper aims to apply use and task characteristics as well as perceptions of BI quality and user characteristics to characterize BI usage based on end-user segments. The finite mixture partial least squares (FINMIX-PLS), Kruskal-Wallis test and Bonferroni post-hoc test are used to provide a clear picture of the characteristics affecting the use of BI. The user segments are estimated using a sample of 746 BI users from 12 public hospitals and their administrations. The results highlight three segments that are primarily characterized by differences in task compatibility, BI experience and education. Only 16.5% of the respondents fit the definition of a BI user found in the extant literature. The remaining 83.5% represents new user types. This research in progress contributes to the extant BI literature by identifying new types of BI users and by showing how critical success factors differ by user types. As user types are identified using a quantitative method, qualitative studies could be applied to extend the understanding of the various types.
机译:在公共卫生服务中,商业智力(BI)由医疗秘书,护士,医生和经济学家使用。虽然有些研究已经调查了在这方面使用信息系统,但结果已经不确定。一个解释可能是不可观察的异质性。本文旨在应用使用和任务特征以及对BI质量和用户特性的看法,以基于最终用户段表征BI使用。有限混合物部分最小二乘(FinMix-PLS),Kruskal-Wallis测试和Bonferroni后Hoc测试用于提供影响BI使用使用的特性的清晰图像。使用来自12个公共医院及其主管部门的746个BI用户的样本估计用户段。结果突出了三个段,主要是任务兼容性,BI经验和教育的差异。只有16.5%的受访者符合在现存文献中发现的BI用户的定义。剩下的83.5%代表了新的用户类型。通过识别新类型的BI用户以及通过显示用户类型的关键成功因素有何识别,这项进展的研究有助于延时BI文献。由于使用定量方法识别用户类型,可以应用定性研究来扩展对各种类型的理解。

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