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

Author

Listed:
  • Shahid Hussain

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)

  • Zhu Fangwei

    (Faculty of Management and Economics, Dalian University of Technology, Dalian 116024, China)

  • Ahmed Faisal Siddiqi

    (Institute of Business & Management, University of Engineering & Technology, Lahore 54000, Pakistan)

  • Zaigham Ali

    (Department of Business Management, Karakoram International University, Gilgit-Baltistan 15100, Pakistan)

  • Muhammad Salman Shabbir

    (OYA Graduate School of Business, Universiti Utara Malaysia, Sintok Kedh 06010, Malaysia)

Abstract

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.

Suggested Citation

  • Shahid Hussain & Zhu Fangwei & Ahmed Faisal Siddiqi & Zaigham Ali & Muhammad Salman Shabbir, 2018. "Structural Equation Model for Evaluating Factors Affecting Quality of Social Infrastructure Projects," Sustainability, MDPI, vol. 10(5), pages 1-25, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1415-:d:144381
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    References listed on IDEAS

    as
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    2. Sarstedt, Marko & Ringle, Christian M. & Smith, Donna & Reams, Russell & Hair, Joseph F., 2014. "Partial least squares structural equation modeling (PLS-SEM): A useful tool for family business researchers," Journal of Family Business Strategy, Elsevier, vol. 5(1), pages 105-115.
    3. C. M. Tam & Z. M. Deng & S. X. Zeng & C. S. Ho, 2000. "Quest for continuous quality improvement for public housing construction in Hong Kong," Construction Management and Economics, Taylor & Francis Journals, vol. 18(4), pages 437-446.
    4. Yuanyan Gan & Liyin Shen & Jindao Chen & Vivian W. Y. Tam & Yongtao Tan & I. M. Chethana S. Illankoon, 2017. "Critical Factors Affecting the Quality of Industrialized Building System Projects in China," Sustainability, MDPI, vol. 9(2), pages 1-13, February.
    5. Mazin Shammas-Toma & David Seymour & Leslie Clark, 1998. "Obstacles to implementing total quality management in the UK construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 16(2), pages 177-192.
    6. Shahid Hussain & Fangwei Zhu & Zaigham Ali & Xiaohang Xu, 2017. "Rural Residents’ Perception of Construction Project Delays in Pakistan," Sustainability, MDPI, vol. 9(11), pages 1-16, November.
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