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Stakeholder engagement variability across public, private and public-private partnership projects: A data-driven network-based analysis

Stakeholder engagement is generally considered one of the most pertinent factors impacting project outcomes. However, there is lacking empirical evidence documenting patterns of stakeholder engagement and their potential differences between public, private and public-private partnership (PPP) projec...

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Autores principales: Uddin, Shahadat, Ong, Stephen, Matous, Petr
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821786/
https://www.ncbi.nlm.nih.gov/pubmed/36607969
http://dx.doi.org/10.1371/journal.pone.0279916
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author Uddin, Shahadat
Ong, Stephen
Matous, Petr
author_facet Uddin, Shahadat
Ong, Stephen
Matous, Petr
author_sort Uddin, Shahadat
collection PubMed
description Stakeholder engagement is generally considered one of the most pertinent factors impacting project outcomes. However, there is lacking empirical evidence documenting patterns of stakeholder engagement and their potential differences between public, private and public-private partnership (PPP) projects. This study leverages social network research methods to capture and quantitively compare these engagement structures. Stakeholder network data were collected by an online questionnaire from 17 public, 30 private and 9 PPP projects. A series of network-based analyses were subsequently applied to the data at both the level of individual project stakeholders and entire project stakeholder ecologies. A statistically significant difference (p<0.05) exists among the network-level measures of network size, edge number, density and betweenness centralization across the three project types. Among these four network measures, the density varies significantly (p<0.05) between ‘within budget’ and cost overrun projects for the private and PPP projects. The top-5 stakeholder lists with respect to three node-level centrality values reveal distinctive differences across the three project types. To further interpret the data, exponential random graph models were also applied to determine the most statistically prevalent network motifs within each type of project. Again, statistically significant differences were found across these three project types. The findings consistently point to structural differences in patterns of stakeholder engagement across the public and private domain and illustrate the applicability of network data and analytical techniques to monitoring and managing complex webs of relationships among actors who affect and are affected by diverse types of projects.
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spelling pubmed-98217862023-01-07 Stakeholder engagement variability across public, private and public-private partnership projects: A data-driven network-based analysis Uddin, Shahadat Ong, Stephen Matous, Petr PLoS One Research Article Stakeholder engagement is generally considered one of the most pertinent factors impacting project outcomes. However, there is lacking empirical evidence documenting patterns of stakeholder engagement and their potential differences between public, private and public-private partnership (PPP) projects. This study leverages social network research methods to capture and quantitively compare these engagement structures. Stakeholder network data were collected by an online questionnaire from 17 public, 30 private and 9 PPP projects. A series of network-based analyses were subsequently applied to the data at both the level of individual project stakeholders and entire project stakeholder ecologies. A statistically significant difference (p<0.05) exists among the network-level measures of network size, edge number, density and betweenness centralization across the three project types. Among these four network measures, the density varies significantly (p<0.05) between ‘within budget’ and cost overrun projects for the private and PPP projects. The top-5 stakeholder lists with respect to three node-level centrality values reveal distinctive differences across the three project types. To further interpret the data, exponential random graph models were also applied to determine the most statistically prevalent network motifs within each type of project. Again, statistically significant differences were found across these three project types. The findings consistently point to structural differences in patterns of stakeholder engagement across the public and private domain and illustrate the applicability of network data and analytical techniques to monitoring and managing complex webs of relationships among actors who affect and are affected by diverse types of projects. Public Library of Science 2023-01-06 /pmc/articles/PMC9821786/ /pubmed/36607969 http://dx.doi.org/10.1371/journal.pone.0279916 Text en © 2023 Uddin et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Uddin, Shahadat
Ong, Stephen
Matous, Petr
Stakeholder engagement variability across public, private and public-private partnership projects: A data-driven network-based analysis
title Stakeholder engagement variability across public, private and public-private partnership projects: A data-driven network-based analysis
title_full Stakeholder engagement variability across public, private and public-private partnership projects: A data-driven network-based analysis
title_fullStr Stakeholder engagement variability across public, private and public-private partnership projects: A data-driven network-based analysis
title_full_unstemmed Stakeholder engagement variability across public, private and public-private partnership projects: A data-driven network-based analysis
title_short Stakeholder engagement variability across public, private and public-private partnership projects: A data-driven network-based analysis
title_sort stakeholder engagement variability across public, private and public-private partnership projects: a data-driven network-based analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9821786/
https://www.ncbi.nlm.nih.gov/pubmed/36607969
http://dx.doi.org/10.1371/journal.pone.0279916
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