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Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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利益相关者网络的数据集,用于项目绩效分析.

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  • 1School of Project Management, The University of Sydney, Level 2, 21 Ross St, Forest Lodge, NSW, 2037, Australia.

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本研究收集了建筑项目经理的利益相关者网络数据,以分析项目的复杂性和性能. 这些发现使得项目网络及其影响能够更好地可视化和理解.

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科学领域:

  • 建筑项目管理项目管理
  • 社交网络分析 社交网络分析
  • 组织网络分析 组织网络分析

背景情况:

  • 建筑项目是复杂的系统,有复杂的利益相关者关系.
  • 了解这些网络对于项目成功和绩效至关重要.
  • 分析项目利益相关者网络的现有方法是有限的.

研究的目的:

  • 介绍在建筑项目中收集和分析社交网络数据的方法.
  • 检查利益相关者网络结构对项目绩效的影响.
  • 为项目管理研究提供有关有效数据收集策略的见解.

主要方法:

  • 从执业的建筑项目经理 (2019-2024) 收集回顾性数据.
  • 在项目管理中为社交网络分析开发量身定制的问题.
  • 分析网络数据,使用诸如度和自向量中心度等指标.

主要成果:

  • 该研究产生了关于建筑项目利益相关者的有价值的网络数据.
  • 建立了计算网络措施的方法,以了解项目结构.
  • 展示了网络分析对可视化和解释利益相关者互动的有用性.

结论:

  • 社交网络分析为了解建筑项目动态提供了一个强大的镜头.
  • 收集的数据和分析方法为未来对项目网络的研究提供了基础.
  • 有效的网络数据收集和分析可以提高建筑项目管理和性能.