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Analyzing the Impact of Coordination Factors on Construction Project Success in Pakistan Using Partial Least Squares Structural Equation Modeling

Authors: Azhar Ali; Shahid Hussain; Zaigham Ali; Zahoor Hussain; Syed Hussain Murtaza;

Analyzing the Impact of Coordination Factors on Construction Project Success in Pakistan Using Partial Least Squares Structural Equation Modeling

Abstract

Coordination is one of the significant components of the construction process. The owners, consultants and contractors struggle to coordinate adequately in massive construction projects whose success could be explain in terms of time, cost, quality and satisfaction. However, coordination factors are crucial in securing the successful accomplishment of all stages of the project. In this study, partial least squares structural equation modeling (PLS-SEM) methodology uses to indicate factors that lack of coordination badly affects the success of infrastructural projects. A conceptual model was developed for the evaluation of project success. The model comprises of two key latent factors. An empirical analysis to test the conceptual model was carried out through the questionnaire survey. The data collected from 246 building experts who were employed in the construction sector in Pakistan. The findings of the analysis showed that the model value was 0.625 which indicated that the lack of coordination had a main influence on project success. The communication-related factors (beta 0.246) have a greater effect on project success, based on the overall form of the model. The conceptual model GOF was calculated as 0.642 which showed the conceptual model validity and reliability, and the data matches correctly. The current study applies PLS-SEM which is previously missing in the literature; this provides additional insights to the array of knowledge in the construction industry that leads project managers to understand the lack of coordination and its impact on project success

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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