A Dataset of Stakeholder Networks for Project Performance Analysis

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.

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Publication Details

Journal
Scientific Data
Published
2025-05-15
DOI
https://doi.org/10.1038/s41597-025-05165-8
Primary Topic
Construction Project Management and Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

A Dataset of Stakeholder Networks for Project Performance Analysis

Shahadat Uddin, Stephen Ong
Scientific Data
Construction Project Management and Performance
article

A Dataset of Stakeholder Networks for Project Performance Analysis

Shahadat Uddin, Stephen Ong
article en

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.

Scientific DataVol. 12(1)
The University of Sydney (AU)
Openalex Percentile: Top 88%
Construction Project Management and Performance
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