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A Dataset of Stakeholder Networks for Project Performance Analysis.

Stephen Ong1, Shahadat Uddin2

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

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This study collected stakeholder network data from construction project managers to analyze project complexity and performance. The findings enable better visualization and understanding of project networks and their impact.

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Area of Science:

  • Construction Project Management
  • Social Network Analysis
  • Organizational Network Analysis

Background:

  • Construction projects are complex systems with intricate stakeholder relationships.
  • Understanding these networks is crucial for project success and performance.
  • Existing methods for analyzing project stakeholder networks are limited.

Purpose of the Study:

  • To present a methodology for collecting and analyzing social network data in construction projects.
  • To examine the impact of stakeholder network structure on project performance.
  • To provide insights into effective data collection strategies for project management research.

Main Methods:

  • Retrospective data collection from practicing construction project managers (2019-2024).
  • Development of tailored questions for social network analysis within project management.
  • Analysis of network data using measures like degree and eigenvector centrality.

Main Results:

  • The study generated valuable network data on construction project stakeholders.
  • Established methods for calculating network measures to understand project structures.
  • Demonstrated the utility of network analysis for visualizing and interpreting stakeholder interactions.

Conclusions:

  • Social network analysis provides a powerful lens for understanding construction project dynamics.
  • The collected data and analytical methods offer a foundation for future research on project networks.
  • Effective network data collection and analysis can enhance construction project management and performance.