Year: 2025
Type: data-paper
Abstract: 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.
Source: Scientific Data
Authors: Stephen Ong, Shahadat Uddin
Institution: The University of Sydney
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,490
OpenAlex ID: W4410413500