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A structural equation model to analyze the effects of COVID-19 pandemic risks on project success: contractors’ perspective

A structural equation model to analyze the effects of COVID-19 pandemic risks on project success: contractors’ perspective
A structural equation model to analyze the effects of COVID-19 pandemic risks on project success: contractors’ perspective

The purpose of this paper is to capture the direct and indirect effects of COVID-19 emerging risks on construction projects' success in developing countries from the contractors' perspective. To achieve this, we collected data from Iraqi construction industry and conducted the following multistage research methodology: (1) preliminary investigation with four construction contractors to identify the success indicators of construction projects; (2) focus group session with 11 experts to identify the COVID-19 emerging risks for the construction industry; (3) semistructured interviews with seven construction experts to develop several hypotheses on the effect of COVID-19 emerging risks on project success; (4) survey data collection from 99 construction contractors; and (5) development of a structural equation model (SEM) to analyze the effects of COVID-19 emerging risks on project success. The results of the SEM analysis show that financial market (FM)-related risks, supply chain operations (SCO)-related risks, health and safety of construction workforce (HSCW)-related risks, organizational implications (OI)-related risks, and contractual implications (CI)-related risks have a significant impact on construction projects success. CI-related risks have the strongest total effects on project success, followed by OI-related risks, FM-related risks, HSCW-related risks, and SCO-related risks, respectively. The results also emphasis the significant mediation role of CI between COVID-19 emerging risks and project success. This study contributes to the body of knowledge and contracting companies by helping researchers and construction contractors to better understand how the key risk factors emerging from extreme conditions like the COVID-19 pandemic affect construction projects' success and may serve as a guideline for developing effective response strategies.

COVID-19, Construction industry, Iraq, Project success, Structural equation model (SEM)
2376-7642
Al-Mhdawi, Mohammed Khalid Slmman
46c878d1-a5a0-4113-9438-4188f8856068
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Qazi, Abroon
9ef4fdc7-0a1a-4805-a46c-5d210b523517
O'Connor, Alan
08031589-ede1-42c5-af82-78201813a933
Al-Mhdawi, Mohammed Khalid Slmman
46c878d1-a5a0-4113-9438-4188f8856068
Brito, Mario
82e798e7-e032-4841-992e-81c6f13a9e6c
Onggo, Bhakti Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Qazi, Abroon
9ef4fdc7-0a1a-4805-a46c-5d210b523517
O'Connor, Alan
08031589-ede1-42c5-af82-78201813a933

Al-Mhdawi, Mohammed Khalid Slmman, Brito, Mario, Onggo, Bhakti Stephan, Qazi, Abroon and O'Connor, Alan (2023) A structural equation model to analyze the effects of COVID-19 pandemic risks on project success: contractors’ perspective. Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 9 (3), [05023003]. (doi:10.1061/AJRUA6.RUENG-1008).

Record type: Article

Abstract

The purpose of this paper is to capture the direct and indirect effects of COVID-19 emerging risks on construction projects' success in developing countries from the contractors' perspective. To achieve this, we collected data from Iraqi construction industry and conducted the following multistage research methodology: (1) preliminary investigation with four construction contractors to identify the success indicators of construction projects; (2) focus group session with 11 experts to identify the COVID-19 emerging risks for the construction industry; (3) semistructured interviews with seven construction experts to develop several hypotheses on the effect of COVID-19 emerging risks on project success; (4) survey data collection from 99 construction contractors; and (5) development of a structural equation model (SEM) to analyze the effects of COVID-19 emerging risks on project success. The results of the SEM analysis show that financial market (FM)-related risks, supply chain operations (SCO)-related risks, health and safety of construction workforce (HSCW)-related risks, organizational implications (OI)-related risks, and contractual implications (CI)-related risks have a significant impact on construction projects success. CI-related risks have the strongest total effects on project success, followed by OI-related risks, FM-related risks, HSCW-related risks, and SCO-related risks, respectively. The results also emphasis the significant mediation role of CI between COVID-19 emerging risks and project success. This study contributes to the body of knowledge and contracting companies by helping researchers and construction contractors to better understand how the key risk factors emerging from extreme conditions like the COVID-19 pandemic affect construction projects' success and may serve as a guideline for developing effective response strategies.

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A Structural Equation Model to Analyze the Effects of COVID-19 Pandemic Risks on Project Success Accepted Manuscript - Accepted Manuscript
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Accepted/In Press date: 7 February 2023
e-pub ahead of print date: 23 May 2023
Published date: 1 September 2023
Additional Information: Publisher Copyright: © 2023 American Society of Civil Engineers.
Keywords: COVID-19, Construction industry, Iraq, Project success, Structural equation model (SEM)

Identifiers

Local EPrints ID: 477290
URI: http://eprints.soton.ac.uk/id/eprint/477290
ISSN: 2376-7642
PURE UUID: 0f3aa28b-9d98-4ff4-876f-cf7c9151d00e
ORCID for Mohammed Khalid Slmman Al-Mhdawi: ORCID iD orcid.org/0000-0001-5870-0323
ORCID for Mario Brito: ORCID iD orcid.org/0000-0002-1779-4535
ORCID for Bhakti Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

Catalogue record

Date deposited: 02 Jun 2023 16:36
Last modified: 17 Mar 2024 03:54

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Contributors

Author: Mohammed Khalid Slmman Al-Mhdawi ORCID iD
Author: Mario Brito ORCID iD
Author: Abroon Qazi
Author: Alan O'Connor

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