Structural model of factors affecting pmo performance in uae mega construction projects

Project Management Office (PMO) implementation has gained traction in a variety of fields around the world. It is gaining popularity in the construction industry as well, particularly in large and mega projects. However, in construction it is facing several challenges, including the incorporation of...

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Main Author:	Saleh Almansoori, Maitha Taher
Format:	Thesis
Language:	English English English
Published:	2022
Subjects:	TH Building construction
Online Access:	http://eprints.uthm.edu.my/8432/1/24p%20MAITHA%20TAHER%20SALEH%20ALMANSOORI.pdf http://eprints.uthm.edu.my/8432/2/MAITHA%20TAHER%20SALEH%20ALMANSOORI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8432/3/MAITHA%20TAHER%20SALEH%20ALMANSOORI%20WATERMARK.pdf
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id	my-uthm-ep.8432
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spelling	my-uthm-ep.84322023-02-26T07:27:06Z Structural model of factors affecting pmo performance in uae mega construction projects 2022-06 Saleh Almansoori, Maitha Taher TH Building construction Project Management Office (PMO) implementation has gained traction in a variety of fields around the world. It is gaining popularity in the construction industry as well, particularly in large and mega projects. However, in construction it is facing several challenges, including the incorporation of inexperienced managers, a lack of a clear PMO perspective, management unawareness of the scope for implementation, and a failure to follow processes that can benefit the organisation. The United Arab Emirates (UAE) construction industry is also quickly adopting PMO implementation. As a result, the purpose of this research was to investigate the factors influencing the performance of project management offices (PMOs) in the UAE construction industry. Using the SmartPLS software and the structural equation modelling technique, a structural relationship model of factors influencing PMO implementation performance in UAE mega construction projects was developed. A designed questionnaire was used to collect data in a quantitative manner. The questionnaire was validated in a pilot study by 18 UAE construction industry experts. A total of 200 questionnaires were distributed to practitioners of mega construction projects, and 171 valid responses were received with an 85.5 percent response rate. The top five factors identified by mean index and standard deviation analysis were inaccurate information reporting, a poor communication strategy, increased administrative workload, environmental challenges, and the selection of a PMO manager. The developed PLS-SEM structural model demonstrated adequate convergent and discriminant validity. The overall model was found to be satisfactory, with a goodness-of-fit (GoF) value of 0.356. The model results were then validated by ten construction experts, who determined that the overall rank generated by the PLS model can be accepted based on their knowledge and experience in PMO. As a result, the validated model is the main contribution of this study, which is the body of knowledge for the benefit of the academic community, and the model's outcomes benefited construction practitioners involved in PMO implementation, particularly in the UAE. 2022-06 Thesis http://eprints.uthm.edu.my/8432/ http://eprints.uthm.edu.my/8432/1/24p%20MAITHA%20TAHER%20SALEH%20ALMANSOORI.pdf text en public http://eprints.uthm.edu.my/8432/2/MAITHA%20TAHER%20SALEH%20ALMANSOORI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/8432/3/MAITHA%20TAHER%20SALEH%20ALMANSOORI%20WATERMARK.pdf text en validuser phd doctoral Universiti Tun Hussein Onn Malaysia Fakulti Pengurusan Teknologi dan Perniagaan
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TH Building construction
spellingShingle	TH Building construction Saleh Almansoori, Maitha Taher Structural model of factors affecting pmo performance in uae mega construction projects
description	Project Management Office (PMO) implementation has gained traction in a variety of fields around the world. It is gaining popularity in the construction industry as well, particularly in large and mega projects. However, in construction it is facing several challenges, including the incorporation of inexperienced managers, a lack of a clear PMO perspective, management unawareness of the scope for implementation, and a failure to follow processes that can benefit the organisation. The United Arab Emirates (UAE) construction industry is also quickly adopting PMO implementation. As a result, the purpose of this research was to investigate the factors influencing the performance of project management offices (PMOs) in the UAE construction industry. Using the SmartPLS software and the structural equation modelling technique, a structural relationship model of factors influencing PMO implementation performance in UAE mega construction projects was developed. A designed questionnaire was used to collect data in a quantitative manner. The questionnaire was validated in a pilot study by 18 UAE construction industry experts. A total of 200 questionnaires were distributed to practitioners of mega construction projects, and 171 valid responses were received with an 85.5 percent response rate. The top five factors identified by mean index and standard deviation analysis were inaccurate information reporting, a poor communication strategy, increased administrative workload, environmental challenges, and the selection of a PMO manager. The developed PLS-SEM structural model demonstrated adequate convergent and discriminant validity. The overall model was found to be satisfactory, with a goodness-of-fit (GoF) value of 0.356. The model results were then validated by ten construction experts, who determined that the overall rank generated by the PLS model can be accepted based on their knowledge and experience in PMO. As a result, the validated model is the main contribution of this study, which is the body of knowledge for the benefit of the academic community, and the model's outcomes benefited construction practitioners involved in PMO implementation, particularly in the UAE.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Saleh Almansoori, Maitha Taher
author_facet	Saleh Almansoori, Maitha Taher
author_sort	Saleh Almansoori, Maitha Taher
title	Structural model of factors affecting pmo performance in uae mega construction projects
title_short	Structural model of factors affecting pmo performance in uae mega construction projects
title_full	Structural model of factors affecting pmo performance in uae mega construction projects
title_fullStr	Structural model of factors affecting pmo performance in uae mega construction projects
title_full_unstemmed	Structural model of factors affecting pmo performance in uae mega construction projects
title_sort	structural model of factors affecting pmo performance in uae mega construction projects
granting_institution	Universiti Tun Hussein Onn Malaysia
granting_department	Fakulti Pengurusan Teknologi dan Perniagaan
publishDate	2022
url	http://eprints.uthm.edu.my/8432/1/24p%20MAITHA%20TAHER%20SALEH%20ALMANSOORI.pdf http://eprints.uthm.edu.my/8432/2/MAITHA%20TAHER%20SALEH%20ALMANSOORI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/8432/3/MAITHA%20TAHER%20SALEH%20ALMANSOORI%20WATERMARK.pdf
_version_	1776103344392110080

Structural model of factors affecting pmo performance in uae mega construction projects

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