Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects

被引:124
作者
Hussain, Shahid [1 ]
Zhu Fangwei [1 ]
Siddiqi, Ahmed Faisal [2 ]
Ali, Zaigham [3 ]
Shabbir, Muhammad Salman [4 ]
机构
[1] Dalian Univ Technol, Fac Management & Econ, Dalian 116024, Peoples R China
[2] Univ Engn & Technol, Inst Business & Management, Lahore 54000, Pakistan
[3] Karakoram Int Univ, Dept Business Management, Gilgit Baltistan 15100, Pakistan
[4] Univ Utara Malaysia, OYA Grad Sch Business, Sintok Kedh 06010, Malaysia
关键词
critical quality factors; public construction industry; PLS-SEM; key constructs; Pakistan; PARTIAL LEAST-SQUARES; CONSTRUCTION-INDUSTRY; FIT INDEXES; PLS-SEM; PERFORMANCE; MANAGEMENT; SUCCESS; SENSITIVITY; ISO-9000; CULTURE;
D O I
10.3390/su10051415
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The quality of the constructed social infrastructure project has been considered a necessary measure for the sustainability of projects. Studies on factors affecting project quality have used various techniques and methods to explain the relationships between particular variables. Unexpectedly, Structural Equation Modeling (SEM) has acquired very little concern in factors affecting project quality studies. To address this limitation in the body of knowledge, the objective of this study was to apply the SEM approach and build a model that explained and identified the critical factors affecting quality in social infrastructure projects. The authors developed a quantitative approach using smart-PLS version 3.2.7. This study shed light on the views of different experts based on their experience in public construction projects in Pakistan. Particularly, the authors aimed to find out the relationships between construction, stakeholders, materials, design, and external factors, and how these relate to project quality. The findings of this study revealed that the R-2 value of the model was scored at 0.749, which meant that the five exogenous latent constructs collectively explained 74.9% of the variance in project quality. The Goodness-of-Fit of the model was 0.458. The construction related factor was the most important out of the five constructs. This study determined that better planning and monitoring and evaluation should be developed to better address and control the quality defects by decision-makers, project managers as well as contractors. These findings might support practitioners and decision makers to focus on quality related problems that might occur in their current or future projects.
引用
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页数:25
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