IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i20p14998-d1261971.html
   My bibliography  Save this article

Significant Factors Affecting the Quality of Housing Infrastructure Project Construction in Saudi Arabia Using PLS-SEM

Author

Listed:
  • Nasser Aljarallah

    (Department of Civil Engineering, King Saud University, P.O. Box 2454, Riyadh 11421, Saudi Arabia)

  • Abdullah M. Alsugair

    (Department of Civil Engineering, King Saud University, P.O. Box 2454, Riyadh 11421, Saudi Arabia)

  • Abdulmohsen S. Almohsen

    (Department of Civil Engineering, King Saud University, P.O. Box 2454, Riyadh 11421, Saudi Arabia)

  • Khalid S. Al-Gahtani

    (Department of Civil Engineering, King Saud University, P.O. Box 2454, Riyadh 11421, Saudi Arabia)

Abstract

Quality construction contributes to the overall sustainability of the built environment, especially for infrastructure projects. High-quality housing infrastructure projects benefit individuals, communities, and the economy. Most studies are concerned with identifying the reasons for the quality of a construction project. However, only a few of them have been concerned with housing infrastructure. In addition, no studies have considered the interdependencies among the factors affecting the quality of housing infrastructure projects, leading to these causes not being evaluated effectively. This paper aims to specify and organize the significant factors affecting the quality of housing infrastructure projects. These projects suffer from the availability of all infrastructure services simultaneously before their execution. A comprehensive literature review was implemented to collect all the factors affecting their quality. Construction sector experts designed and filled out a questionnaire based on the collected data. The survey data were then statistically analyzed using a partial least squares structural equation model (PLS-SEM) to organize the causes and examine the interdependencies among the quality of each cause. Our main finding revealed that based on the PLS-SEM, the top three factors affecting the construction quality were the skill and experience of supervisory staff, errors and omissions in design documents, and the lack of communication between supervisors and laborers. Based on the PLS-SEM ranking, labor, equipment, and site staff were responsible for more than half of the top 10 causes. The PLS-SEM results showed that the contractor material (CM) and project design (PD) percentages were 20% and 30%.. In addition, there is an interaction influence between the labor/equipment/site staff (LES) causes and PD causes. This study assists stakeholders in understanding how to use Six Sigma construction concepts to enhance performance in the nation’s construction industry, which helps contractors make improvements in variability reduction and save costs in construction projects.

Suggested Citation

  • Nasser Aljarallah & Abdullah M. Alsugair & Abdulmohsen S. Almohsen & Khalid S. Al-Gahtani, 2023. "Significant Factors Affecting the Quality of Housing Infrastructure Project Construction in Saudi Arabia Using PLS-SEM," Sustainability, MDPI, vol. 15(20), pages 1-21, October.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14998-:d:1261971
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/20/14998/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/20/14998/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. Jichang Zhang & Jing Long & Alexandra Martina Eugenie von Schaewen, 2021. "How Does Digital Transformation Improve Organizational Resilience?—Findings from PLS-SEM and fsQCA," Sustainability, MDPI, vol. 13(20), pages 1-22, October.
    3. Al-Baraa Abdulrahman Al-Mekhlafi & Idris Othman & Ahmed Farouk Kineber & Ahmad A. Mousa & Ahmad M. A. Zamil, 2022. "Modeling the Impact of Massive Open Online Courses (MOOC) Implementation Factors on Continuance Intention of Students: PLS-SEM Approach," Sustainability, MDPI, vol. 14(9), pages 1-15, April.
    4. Abdullah M. Alsugair, 2022. "Cost Deviation Model of Construction Projects in Saudi Arabia Using PLS-SEM," Sustainability, MDPI, vol. 14(24), pages 1-21, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nour El Houda Ben Amor & Mohamed Nabil Mzoughi, 2023. "Do Millennials’ Motives for Using Snapchat Influence the Effectiveness of Snap Ads?," SAGE Open, , vol. 13(3), pages 21582440231, July.
    2. Ioana Gutu & Daniela Tatiana Agheorghiesei & Alexandru Tugui, 2023. "Assessment of a Workforce Sustainability Tool through Leadership and Digitalization," IJERPH, MDPI, vol. 20(2), pages 1-30, January.
    3. Al-Baraa Abdulrahman Al-Mekhlafi & Ahmad Shahrul Nizam Isha & Nicholas Chileshe & Mohammed Abdulrab & Anwar Ameen Hezam Saeed & Ahmed Farouk Kineber, 2021. "Modelling the Relationship between the Nature of Work Factors and Driving Performance Mediating by Role of Fatigue," IJERPH, MDPI, vol. 18(13), pages 1-17, June.
    4. Baier-Fuentes, Hugo & Andrade-Valbuena, Nelson A. & Huertas Gonzalez-Serrano, Maria & Gaviria-Marin, Magaly, 2023. "Bricolage as an effective tool for the survival of owner-managed SMEs during crises," Journal of Business Research, Elsevier, vol. 157(C).
    5. Ilenia Bravo & Ilenia Colamatteo & Simona Balzano & Lucio Cappelli & Enrica Iannucci, 2024. "Consumer Behaviour Regarding Certified Food," Sustainability, MDPI, vol. 16(9), pages 1-12, April.
    6. Asif Khan & Chih-Cheng Chen & Kwanrat Suanpong & Athapol Ruangkanjanases & Santhaya Kittikowit & Shih-Chih Chen, 2021. "The Impact of CSR on Sustainable Innovation Ambidexterity: The Mediating Role of Sustainable Supply Chain Management and Second-Order Social Capital," Sustainability, MDPI, vol. 13(21), pages 1-25, November.
    7. Diego Norena-Chavez, 2022. "Influence of SARS-CoV-2 on the Mediating Effect of Entrepreneurial Passion in the Relationship between Entrepreneurial Self-Efficacy and Innovative Behavior," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 125-139.
    8. Chen, Shih-Chih & Hung, Chung-Wen, 2016. "Elucidating the factors influencing the acceptance of green products: An extension of theory of planned behavior," Technological Forecasting and Social Change, Elsevier, vol. 112(C), pages 155-163.
    9. Mahadzirah Mohamad & Asyraf Afthanorhan* & Zainudin Awang & Morliyati Mohammad, 2019. "Comparison Between CB-SEM and PLS-SEM: Testing and Confirming the Maqasid Syariah Quality of Life Measurement Model," The Journal of Social Sciences Research, Academic Research Publishing Group, vol. 5(3), pages 608-614, 03-2019.
    10. Hsien-Tsung Chang & Nilamadhab Mishra & Chung-Chih Lin, 2015. "IoT Big-Data Centred Knowledge Granule Analytic and Cluster Framework for BI Applications: A Case Base Analysis," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-23, November.
    11. Hock-Doepgen, Marianne & Clauss, Thomas & Kraus, Sascha & Cheng, Cheng-Feng, 2021. "Knowledge management capabilities and organizational risk-taking for business model innovation in SMEs," Journal of Business Research, Elsevier, vol. 130(C), pages 683-697.
    12. Cliff R. Kikawa & Charity Kiconco & Moses Agaba & Dimas Ntirampeba & Amos Ssematimba & Billy M. Kalema, 2022. "Social Media Marketing for Small and Medium Enterprise Performance in Uganda: A Structural Equation Model," Sustainability, MDPI, vol. 14(21), pages 1-20, November.
    13. José Roberto Frega & Alex Antonio Ferraresi & Carlos Olavo Quandt & Claudimar Pereira da Veiga, 2018. "Relationships Among Knowledge Management, Organisational Innovativeness and Performance: Covariance-Based Versus Partial Least-Squares Structural Equation Modelling," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 17(01), pages 1-19, March.
    14. Mkedder, Nadjim & Jain, Varsha & Salunke, Parth, 2024. "Determinants of virtual reality stores influencing purchase intention: An interpretive structural modeling approach," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    15. Debicki, Bart J. & Kellermanns, Franz W. & Chrisman, James J. & Pearson, Allison W. & Spencer, Barbara A., 2016. "Development of a socioemotional wealth importance (SEWi) scale for family firm research," Journal of Family Business Strategy, Elsevier, vol. 7(1), pages 47-57.
    16. R.M. Thirupathi & S. Vinodh, 2016. "Application of interpretive structural modelling and structural equation modelling for analysis of sustainable manufacturing factors in Indian automotive component sector," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6661-6682, November.
    17. Seif Obeid Al-Shbiel, 2016. "An Examination the Factors Influence on Unethical Behaviour among Jordanian external auditors: Job Satisfaction as a mediator," International Journal of Academic Research in Accounting, Finance and Management Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Accounting, Finance and Management Sciences, vol. 6(3), pages 285-296, July.
    18. Ana León-Gómez & José Manuel Santos-Jaén & Daniel Ruiz-Palomo & Mercedes Palacios-Manzano, 2022. "Disentangling the impact of ICT adoption on SMEs performance: the mediating roles of corporate social responsibility and innovation," Oeconomia Copernicana, Institute of Economic Research, vol. 13(3), pages 831-866, September.
    19. Maria Abdul Rahman* & Yusniza Kamarulzaman, 2018. "The Mediating Effect of Satisfaction on Customer Loyalty in Oursourcing Relationships and its Determinants," The Journal of Social Sciences Research, Academic Research Publishing Group, pages 1062-1074:6.
    20. Kaur, Puneet & Dhir, Amandeep & Bodhi, Rahul & Singh, Tripti & Almotairi, Mohammad, 2020. "Why do people use and recommend m-wallets?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:20:p:14998-:d:1261971. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.