Ong Stephen, Uddin Shahadat
School of Project Management, The University of Sydney, Level 2, 21 Ross St, Forest Lodge, NSW, 2037, Australia.
Sci Data. 2025 May 15;12(1):796. doi: 10.1038/s41597-025-05165-8.
This paper shares network data gathered through questions tailored to social network analysis and project management, specifically for construction projects. The approach addresses project complexity and performance, focusing on stakeholder network data collected retrospectively from practising project managers in the construction industry. Data collection began in 2019 and concluded in 2024. The study examines four key elements: data collection media, the appropriateness of question types, question length and wording, and the interpretation of respondents' experiences. The resulting network data can be analysed to calculate various network measures, such as degree and eigenvector centrality. These measures can be used to visualise and understand stakeholder networks within projects and their impact on project performance.
本文分享了通过针对社交网络分析和项目管理量身定制的问题所收集的网络数据,特别是针对建设项目。该方法解决了项目的复杂性和绩效问题,重点关注从建筑业执业项目经理那里回顾性收集的利益相关者网络数据。数据收集始于2019年,于2024年结束。该研究考察了四个关键要素:数据收集媒介、问题类型的适当性、问题长度和措辞,以及对受访者经验的解读。由此产生的网络数据可用于分析,以计算各种网络指标,如度中心性和特征向量中心性。这些指标可用于可视化和理解项目中的利益相关者网络及其对项目绩效的影响。