IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i24p16391-d996659.html
   My bibliography  Save this article

Cost Deviation Model of Construction Projects in Saudi Arabia Using PLS-SEM

Author

Listed:
  • Abdullah M. Alsugair

    (Department of Civil Engineering, College of Engineering, King Saud University, P.O. Box 800, Riyadh 11421, Saudi Arabia)

Abstract

Miscalculations during cost estimation can have adverse effects on construction projects, including delaying or canceling planned projects, reducing project scope, and creating considerable financial risks for both owners and contractors. The objective of this research was to identify the major factors that cause cost deviation and study the effect of the interaction between these factors on cost deviation prior to the tender phase of construction projects in the Kingdom of Saudi Arabia. This was accomplished by carrying out a comprehensive literature review of the factors affecting cost deviation; implementing a survey questionnaire for project participants, including contractors, consultants, and clients, who are aware of the construction industry in Saudi Arabia; and developing a model for cost deviation based on the questionnaire data using the partial least square structural equation model (PLS-SEM). The cost deviation model was developed, and the PLS-SEM provided the critical factors affecting cost deviation and gave theoretical support for the study’s conceptual framework. The results revealed that the problem is shared by the owners and contractors, as the factors with the highest rankings were project characteristics, contractual procedures, and estimator performance. The study also showed that the issue of cost deviation is more important to owners than contractors, as the predictive relevance of project characteristics, contractual procedures, and estimator performance were 0.229, 0.335, and 0.197, respectively, for the client–consultant model, and 0.117, 0.118, and 0.292, respectively, for the contractor model. The results indicate the need to control the highest-ranked factors to enhance the efficiency of the cost estimation process. This study contributes to the body of knowledge by generating the PLS-SEM model that takes into account the indirect relationships among affecting cost deviation factors and considers these relationships while preparing the bid to reduce the deviation cost.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:24:p:16391-:d:996659
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/24/16391/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/24/16391/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bent Flyvbjerg & Mette K. Skamris holm & Søren L. Buhl, 2003. "How common and how large are cost overruns in transport infrastructure projects?," Transport Reviews, Taylor & Francis Journals, vol. 23(1), pages 71-88, January.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    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. Chantal C. Cantarelli & Bert van Wee & Eric J. E. Molin & Bent Flyvbjerg, 2013. "Different Cost Performance: Different Determinants? The Case of Cost Overruns in Dutch Transportation Infrastructure Projects," Papers 1307.2179, arXiv.org, revised Jan 2015.
    2. José Martins & Rui Cunha Marques & Carlos Oliveira Cruz & Álvaro Fonseca, 2017. "Flexibility in planning and development of a container terminal: an application of an American-style call option," Transportation Planning and Technology, Taylor & Francis Journals, vol. 40(7), pages 828-840, October.
    3. Mauro Bambi & Cristina Girolami & Salvatore Federico & Fausto Gozzi, 2017. "Generically distributed investments on flexible projects and endogenous growth," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 63(2), pages 521-558, February.
    4. Cantarelli, C.C. & Flyvbjerg, B. & Buhl, S.L., 2012. "Geographical variation in project cost performance: the Netherlands versus worldwide," Journal of Transport Geography, Elsevier, vol. 24(C), pages 324-331.
    5. Holz-Rau, Christian & Scheiner, Joachim, 2011. "Safety and travel time in cost-benefit analysis: A sensitivity analysis for North Rhine-Westphalia," Transport Policy, Elsevier, vol. 18(2), pages 336-346, March.
    6. Erica Bosio & Simeon Djankov & Edward Glaeser & Andrei Shleifer, 2022. "Public Procurement in Law and Practice," American Economic Review, American Economic Association, vol. 112(4), pages 1091-1117, April.
    7. Love, Peter E.D. & Ika, Lavagnon A. & Ahiaga-Dagbui, Dominic D., 2019. "On de-bunking ‘fake news’ in a post truth era: Why does the Planning Fallacy explanation for cost overruns fall short?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 397-408.
    8. Bent Flyvbjerg & Alexander Budzier, 2018. "Report for the Edinburgh Tram Inquiry," Papers 1805.12106, arXiv.org.
    9. Prakash, Nishith & Rockmore, Marc & Uppal, Yogesh, 2019. "Do criminally accused politicians affect economic outcomes? Evidence from India," Journal of Development Economics, Elsevier, vol. 141(C).
    10. Chantal C. Cantarelli & Bent Flybjerg & Eric J. E. Molin & Bert van Wee, 2013. "Cost overruns in Large-Scale Transportation Infrastructure Projects: Explanations and Their Theoretical Embeddedness," Papers 1307.2176, arXiv.org.
    11. Olav Torp & Ole Jonny Klakegg, 2016. "Challenges in Cost Estimation under Uncertainty—A Case Study of the Decommissioning of Barsebäck Nuclear Power Plant," Administrative Sciences, MDPI, vol. 6(4), pages 1-21, October.
    12. Vincent van den Berg, 2013. "Over- and Under-Bidding in Tendering," Tinbergen Institute Discussion Papers 13-033/VIII, Tinbergen Institute.
    13. Joseph Sturm & Mashrur Chowdhury & Anne Dunning & Jennifer Ogle, 2011. "Analysis of cost estimation disclosure in environmental impact statements for surface transportation projects," Transportation, Springer, vol. 38(3), pages 525-544, May.
    14. Cantarelli, C.C. & Molin, E.J.E. & van Wee, B. & Flyvbjerg, B., 2012. "Characteristics of cost overruns for Dutch transport infrastructure projects and the importance of the decision to build and project phases," Transport Policy, Elsevier, vol. 22(C), pages 49-56.
    15. van den Berg, Vincent A.C. & Rouwendal, Jan, 2016. "Tender auctions with existing operators bidding," Economics of Transportation, Elsevier, vol. 6(C), pages 1-10.
    16. Rubina Canesi & Beatrice Gallo, 2023. "Risk Assessment in Sustainable Infrastructure Development Projects: A Tool for Mitigating Cost Overruns," Land, MDPI, vol. 13(1), pages 1-24, December.
    17. Lindsey, Robin, 2012. "Road pricing and investment," Economics of Transportation, Elsevier, vol. 1(1), pages 49-63.
    18. Ganuza, Juan-José & Llobet, Gerard, 2020. "The simple economics of white elephants," Mathematical Social Sciences, Elsevier, vol. 106(C), pages 91-100.
    19. Chong, Uven & Hopkins, Omar, 2016. "An international experience on the evolution of road costs during the project life cycle," Transport Policy, Elsevier, vol. 48(C), pages 60-66.
    20. Wasiu Olayinka FAWOLE & Burhan ÖZKAN, 2017. "Identifying the Drivers of Food Security Based on Perception among Households in South Western Nigeria," European Journal of Interdisciplinary Studies Articles, Revistia Research and Publishing, vol. 3, ejis_v3_i.

    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:14:y:2022:i:24:p:16391-:d:996659. 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.