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Impact of External Criteria on the Project Delivery System Selection Process: The Case of Quebec Public Projects

  • CIRCERB
  • Université Laval

Research output: Contribution to Book/Report typesContribution to conference proceedingspeer-review

Abstract

Selecting an appropriate Project Delivery System (PDS) remains a critical decision that significantly impacts construction project success. Researchers have categorized the criteria guiding this decision into four groups: project characteristics, project goals, owner preferences, and the external environment. Despite its significance, the external environment criteria remain the least explored. This study addresses this gap by examining these criteria, their interdependencies, and their impact on the PDS selection process. A literature review was conducted, followed by semi-structured interviews with nine experts from a leading public infrastructure owner in Quebec, Canada. A qualitative analysis yielded insights into each external environment criterion and its influence on PDS selection. Using a systems thinking approach, a Causal Loop Diagram (CLD) was developed to illustrate interdependencies. Findings highlighted the strong influence of political and economic constraints on PDS selection. Specifically, price inflation and market overheating appeared to disrupt the construction supply chain (CSC) equilibrium and limit the contractor availability. To ensure efficient delivery of public projects and ensure CSC stability, government strategies must align with population needs, industry realities, and the availability of key actors. Finally, collaboration between stakeholders and government entities is crucial to better mitigate external environment challenges.

Original languageEnglish
Title of host publicationConstruction Research Congress 2026
Subtitle of host publicationProject Delivery, Organizational Management, Contracting, and Construction Planning - Selected papers from Construction Research Congress 2026
EditorsChuma Nnaji, Jiannan Cai, Ibukun Gabriel Awolusi, Kaushik Bhattacharjee
PublisherAmerican Society of Civil Engineers (ASCE)
Pages33-43
Number of pages11
ISBN (Electronic)9780784486986
DOIs
Publication statusPublished - 2026
EventConstruction Research Congress, CRC 2026 - San Antonio, United States
Duration: 18 Mar 202621 Mar 2026

Publication series

NameConstruction Research Congress 2026: Advanced Technologies, Artificial Intelligence, and Data Analytics in Construction - Selected papers from Construction Research Congress 2026
Volume3

Conference

ConferenceConstruction Research Congress, CRC 2026
Country/TerritoryUnited States
CitySan Antonio
Period18/03/2621/03/26

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

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