项目管理成熟度的统计预测因子

IF 0.9 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Stats Pub Date : 2023-08-15 DOI:10.3390/stats6030054
Helder Jose Celani de Souza, V. Salomon, Carlos Eduardo Sanches da Silva
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引用次数: 0

摘要

根据项目管理研究所的数据,组织的全球场景显示,超过11%的情况下,投资浪费在绩效不佳的项目上。本研究旨在指导组织果断投资于正确的相关因素,以提高项目成功率,并使用统计预测以更高的准确性水平加快项目管理的成熟度。挑战项目管理成熟度模型的现有驱动因素并扩大其当前的实践观点,将是基于一项调查的定量方法的结果,该调查由针对巴西项目管理界的数据收集支持。这项研究的独创性和价值在于有助于开发新的项目成熟度模型,该模型在统计上得到了成熟度准确率不断提高的支持,通过向模型中输入自信的数据,可以不断提高成熟度准确度。结果表明,绩效衡量系统与项目管理成熟度相关的项目成功率之间存在高度相关性。此外,本研究还探讨了组织文化、企业类型、项目管理办公室与项目管理成熟度之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Statistical Predictors of Project Management Maturity
Global scenarios of organizations show investments wasted in projects with poor performances in more than 11 percent of cases, according to the Project Management Institute. This research aims to guide organizations in assertively investing in the right pertinent factors to improve project success rates and speed up project management maturity at a higher accuracy level using statistical predictions. Challenging existing drivers for project management maturity models and expanding their current practical view will be the result of a quantitative methodology based on a survey supported by data collection targeting the project management community in Brazil. The originality and value of this research are in contributing to the development of new project maturity models statistically supported by the increasing rate of maturity accuracy, which can be continually improved by confident data input into the model. The results show a high correlation between the performance measurement system and the project success rate associated with project management maturity. In addition, this research contemplates the relationship between organizational culture, business type, and project management office and project management maturity.
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来源期刊
CiteScore
0.60
自引率
0.00%
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审稿时长
7 weeks
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