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AN EMPIRICAL INVESTIGATION OF CRITICAL SUCCESS FACTORS APPLICABLE TO INFORMATION CENTERS.

机译:适用于信息中心的关键成功因素的实证研究。

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摘要

End-user computing (EUC) is the direct hands-on use of computers by people who have problems for which computer-based solutions are appropriate. An information center (IC) has become an accepted and rapidly growing part of an organizations' formal support for EUC. Previous research on this phenomenon of EUC and the IC has been diverse. Whereas efforts have been aimed to identify critical success factors (CSF) applicable to ICs, these efforts were exploratory in nature. Furthermore, no attempts have been made to examine factors affecting the CSFs applicable to ICs.;A principle components analysis was used to identify composite CSFs from the individual CSFs previously identified in the literature. MANOVA procedures, followed by multiple comparisons, were used to determine the effects of the parameters of interest (stages, age, size, and hardware option) on the composite CSFs.;The study identified five composite CSFs applicable to ICs. In addition, the study found support for a stage hypothesis for IC evolution. Further, the specific effects of the stages, age, size, and hardware option were identified. However, due to the very small number of differences found (out of a large number of possible differences), it was concluded that the effects of these parameters on the importance of the composite CSFs were minimal.;Based on the identified composite CSFs, a model for an IC is proposed. In addition, a hypothesis relating the stages of IC evolution and the CSFs based model of an IC is proffered.;This study explored the CSFs applicable to ICs and examined the effects of several parameters on the importance of the CSFs. The parameters of interest were the stages of IC evolution, age, size, and the hardware option supported. Data were gathered through a questionnaire administered to IC managers.
机译:最终用户计算(EUC)是那些有问题的人直接动手使用计算机,而基于计算机的解决方案是合适的。信息中心(IC)已成为组织对EUC正式支持的公认且迅速增长的组成部分。先前对EUC和IC的这种现象的研究已有很多。尽管已努力确定适用于IC的关键成功因素(CSF),但这些努力本质上是探索性的。此外,尚未尝试检查影响适用于IC的CSF的因素。;主要成分分析用于从先前文献中确定的单个CSF中识别复合CSF。 MANOVA程序,然后进行多次比较,用于确定目标参数(阶段,年龄,尺寸和硬件选项)对复合CSF的影响。研究确定了五个适用于IC的复合CSF。此外,研究发现支持IC进化的阶段假设。此外,确定了阶段,年龄,大小和硬件选项的特定影响。但是,由于发现的差异非常小(存在大量可能的差异),因此得出结论,这些参数对复合CSF重要性的影响极小。提出了IC的模型。此外,提出了有关IC发展阶段和基于CSFs的IC模型的假设。本研究探索了适用于IC的CSF,并考察了几个参数对CSF重要性的影响。感兴趣的参数是IC演进的阶段,寿命,尺寸和支持的硬件选项。数据是通过向IC经理发送的调查表收集的。

著录项

  • 作者单位

    University of Georgia.;

  • 授予单位 University of Georgia.;
  • 学科 Management.
  • 学位 Ph.D.
  • 年度 1987
  • 页码 180 p.
  • 总页数 180
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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