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University of Southampton (2022)

Risk management of construction projects under extreme conditions : A case study of Iraq

Al-Mhdawi, Mohammed Khalid Slmman

Titre : Risk management of construction projects under extreme conditions : A case study of Iraq

Auteur : Al-Mhdawi, Mohammed Khalid Slmman

Université de soutenance : University of Southampton

Grade : Doctor of Philosophy (PhD) 2022

Résumé partiel
The COVID-19 pandemic has affected construction markets around the world, causing legislative changes, supply chain disruptions, and workforce restrictions. Construction industry stakeholders in developing countries are considered to be more susceptible to the challenges and emerging risks associated with the pandemic, exacerbated by poor risk management (RM) practices, undermining the successful delivery of construction projects. This thesis examines the impact of extreme conditions’ risk management practices, the challenges associated with their implementation, and their emerging risks on the success of construction projects in developing countries by considering the Iraqi construction industry during the COVID-19 pandemic. This thesis encompasses three papers written as part of a PhD by publication (“Three-Paper PhD”), situated between introduction and conclusion chapters. The first paper focuses on identifying and assessing the main challenges and barriers to RM effective application in the construction industry during COVID-19 pandemic, and assesses the level of efficacy of current RM practices adopted by Iraqi construction practitioners. The second paper explores the key emergent COVID-19 risks for the construction industry and investigates their risk level. The final paper analyses the direct and indirect effects of emergent COVID-19 risks on the successful delivery of construction projects. Mixed (qualitative and quantitative) methods were used in each study to fulfil the objectives, including (1) semi-structured interview ; (2) focus group discussion ; (3) questionnaire survey ; (4) fuzzy inference system ; (5) analytical hierarchy process ; and (6) structural equation modelling.

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