Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/67178
PIRA download icon_1.1View/Download Full Text
Title: A network-theory based model for stakeholder analysis in major construction projects
Authors: Mok, MKY 
Shen, GQ 
Issue Date: 2016
Source: Procedia engineering, 2016, v. 164, p. 292-298
Abstract: The high complexity and uncertainty of major construction projects (MCPs) call for a rigorous approach to manage the relationships and conflicting needs of stakeholders who act a pivotal role in project success. In reality, a project environment can be perceived as network systems composed of interconnected stakeholders, and of interrelated stakeholder issues. The characteristics of and propagating effects produced by these network structures determine the perceptions, salience and impacts of stakeholders. This paper proposes a stakeholder analysis approach based on the network theory to analyze both stakeholders and their interests from a network perspective. It can improve the accuracy, completeness and effectiveness of stakeholder management practice in construction.
Keywords: Major construction project
Network analysis
Network theory
Stakeholder analysis
Publisher: Elsevier
Journal: Procedia engineering 
EISSN: 1877-7058
DOI: 10.1016/j.proeng.2016.11.622
Description: 5th Creative Construction Conference, CCC 2016, Hungary, 25-28 June 2016
Rights: © 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication Mok, M. K., & Shen, G. Q. (2016). A network-theory based model for stakeholder analysis in major construction projects. Procedia Engineering, 164, 292-298 is available at https://doi.org/10.1016/j.proeng.2016.11.622
Appears in Collections:Conference Paper

Files in This Item:
File Description SizeFormat 
Mok_network-theory_based_model.pdf852.38 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page views

158
Last Week
2
Last month
Citations as of Apr 21, 2024

Downloads

146
Citations as of Apr 21, 2024

SCOPUSTM   
Citations

26
Last Week
0
Last month
Citations as of Apr 26, 2024

WEB OF SCIENCETM
Citations

19
Last Week
0
Last month
Citations as of Apr 25, 2024

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.