用戴明管理法改进 IT 项目成果

IF 0.4 Q4 MANAGEMENT
Andrew J. Setterstrom, Jack T. Marchewka
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引用次数: 0

摘要

在企业中引入技术变革是一项艰巨的任务,因此,企业在追求信息技术项目成果达到预期质量水平的过程中遇到困难也就不足为奇了。本研究的目的是考察戴明管理方法,以确定其质量管理理论能否应用于 IT 项目。研究人员收集了 168 名 IT 专业人员的调查数据,并进行了分析。研究结果为应用戴明管理方法解决这一老大难问题提供了强有力的经验支持。特别是,结果支持了戴明模型中质量管理概念之间的所有假设关系,同时,戴明模型对客户对 IT 项目交付成果的满意度,以及实现预算、进度和系统功能等项目绩效目标,都具有很强的预测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving IT Project Outcomes With the Deming Management Method
Introducing technological change into an organization is a difficult undertaking, so it is not unexpected that firms struggle in their pursuit to achieve the desired level of quality for IT project outcomes. The purpose of this research is to examine the Deming management method to determine if its theories about quality management can be applied to IT projects. Survey data was collected from 168 IT professionals and analyzed. The results provide strong empirical support for the application of the Deming management method to address this persistent problem. In particular, the results support all hypothesized relationships among the quality management concepts comprising the Deming model, while at the same time the Deming model provides strong predictive ability for both customer satisfaction with IT project deliverables and meeting project performance goals of budget, schedule, and system functionality.
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来源期刊
CiteScore
1.70
自引率
25.00%
发文量
20
期刊介绍: The mission of International Journal of Information Technology Project Management (IJITPM) is to provide a forum for practitioners and researchers from both public and private sectors of project management professionals, along with information systems researchers, software developers and vendors, to contribute and to circulate ground-breaking work, and to shape future directions for research, as well as to help project leaders and managers apply various advanced techniques in information systems. It encourages discussions on how the various information systems can improve project management as well as how advances in project management can affect the growth of information systems.
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