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Evaluating Impacts of Financial Risks on Schedule Delays of International Highway Projects in Vietnam using Structural Equation Model

Volume 14, Number 2, February 2018, pp. 363-375
DOI: 10.23940/ijpe.18.02.p18.363375

Hong Anh Vua, Cao Cuong Vub, Jianqiong Wanga, Lianxing Minc

aSchool of Economics and Management, Southwest Jiaotong University, Chengdu, 610031, China
bPostgraduate Office, Le Quy Don Technical University, Hanoi, 100000, Vietnam
cSchool of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, 611137, China



Abstract:

Schedule delay (SD) in International Highway Projects (IHPs) has a higher risk than traditional projects and causes a significant detrimental impact on efficiency, cost, and reputation of project investment. As one of the main reasons causing SD, the financial problem was discussed in the literature but was either usually listed very generally or its impacts on project performance were insufficiently described. This study focuses on the financial-related factors affecting SD in IHPs, and employs a factor analysis technique to identify and categorize them using the 207 questionnaire data from the IHPs in Vietnam. Then, the study applies the Structural Equation Model (SEM) to assess the influences of identified factors on SD as well as interactions among them. The empirical results reveal that the financial-related risk elements of SD could be grouped into five major factors in IHPs. In accordance with the effects on SD, the five factors from highest to lowest respectively are changing economic environment(CEE), policy changes (PC), lack of financial capital (LFC), delayed payment (DP), and poor financial management (PFM). The study also discusses the implications of empirical results to effectively avoid, reduce, or even eliminate the impacts of financial-related risks on SD, and provides a set of countermeasures to help the local government and international contractors to mitigate the SD of IHPs in Vietnam, as well as in developing countries that possess similar conditions to those in Vietnam.

 

References: 25

    1. H. Abdul-Rahman, C. Wang, R. Takim, and S. Wong, (2011), "Project schedule influenced by financial issues: Evidence in construction industry", Scientific Research & Essays, Vol. 6, No. 1, pp. 205-212.
    2. A. A. Aibinu, and G. O. Jagboro, (2002), "The effects of construction delays on project delivery in Nigerian construction industry", International Journal of Project Management, Vol. 20, No. 8, pp. 593-599.
    3. W. E. Alaghbari, M. R. A. Kadir, A. Salim, and Ernawati, (2007), "The significant factors causing delay of building construction projects in Malaysia", Engineering Construction & Architectural Management, Vol. 14, No. 2, pp. 192-206.
    4. A. Aleshin, (2001), "Risk management of international projects in Russia", International Journal of Project Management, Vol. 19, No. 4, pp. 207-222.
    5. J. C. Anderson, and D. W. Gerbing, (1988), "Structural equation modeling in practice: A review and recommended two-step approach", Psychological bulletin, Vol. 103, No. 3, pp. 411.
    6. S. A. Assaf, and S. Al-Hejji, (2006), "Causes of delay in large construction projects", International Journal of Project Management, Vol. 24, No. 4, pp. 349-357.
    7. K. A. Bollen, (1989), "A New Incremental Fit Index for General Structural Equation Models", Sociological Methods & Research, Vol. 17, No. 3, pp. 303-316.
    8. K. A. Bollen, (1987), "Total, Direct, and Indirect Effects in Structural Equation Models", Sociological Methodology, Vol. 17, No., pp. 37-69.
    9. S. M. El-Sayegh, (2008), "Risk assessment and allocation in the UAE construction industry", International Journal of Project Management, Vol. 26, No. 4, pp. 431-438.
    10. S. M. El-Sayegh, and M. H. Mansour, (2015), "Risk Assessment and Allocation in Highway Construction Projects in the UAE", Journal of Management in Engineering, Vol. 31, No. 6, pp. 1-12.
    11. M. Fernandez-Dengo, N. Naderpajouh, and M. Hastak, (2012), "Risk Assessment for the Housing Market in Mexico", Journal of Management in Engineering, Vol. 29, No. 2, pp. 122-132.
    12. C. Fornell, and D. F. Larcker, (1981), "Evaluating structural equation models with unobservable variables and measurement error", Journal of Marketing Research, Vol. 18, No. 1, pp. 39-50.
    13. Y. Frimpong, and J. Oluwoye, (2003), "Significant Factors Causing Delay and Cost Overruns in Construction of Groundwater Projects in Ghana", Journal of Construction Research, Vol. 04, No. 2, pp. 175-187.
    14. Y. Hong, D. W. Chan, A. P. Chan, and J. F. Yeung, (2011), "Critical analysis of partnering research trend in construction journals", Journal of management in engineering, Vol. 28, No. 2, pp. 82-95.
    15. L. Le-Hoai, Y. Dai Lee, and J. Y. Lee, (2008), "Delay and cost overruns in Vietnam large construction projects: A comparison with other selected countries", KSCE journal of civil engineering, Vol. 12, No. 6, pp. 367-377.
    16. F. Y. Y. Ling, and V. T. P. Hoang, (2010), "Political, Economic, and Legal Risks Faced in International Projects: Case Study of Vietnam", Journal of Professional Issues in Engineering Education & Practice, Vol. 136, No. 3, pp. 156-164.
    17. N. D. Long, S. Ogunlana, T. Quang, and K. C. Lam, (2004), "Large construction projects in developing countries: a case study from Vietnam", International Journal of project management, Vol. 22, No. 7, pp. 553-561.
    18. M. Prümer, (2005), "Cash Flow Management", Springer-Verlag.
    19. O. Taylan, A. O. Bafail, R. M. S. Abdulaal, and M. R. Kabli, (2014), "Construction projects selection and risk assessment by fuzzy AHP and fuzzy TOPSIS methodologies", Applied Soft Computing, Vol. 17, No. 4, pp. 105-116.
    20. S. U. R. Toor, and S. O. Ogunlana, (2008), "Problems causing delays in major construction projects in Thailand", Construction Management & Economics, Vol. 26, No. 4, pp. 395-408.
    21. M. T. Wang, and H. Y. Chou, (2003), "Risk Allocation and Risk Handling of Highway Projects in Taiwan", Journal of Management in Engineering, Vol. 19, No. 2, pp. 60-68.
    22. S. Q. Wang, M. F. Dulaimi, and M. Y. Aguria, (2004), "Risk management framework for construction projects in developing countries", Construction Management & Economics, Vol. 22, No. 3, pp. 237-252.
    23. Z. Wenxi, and C. Danyang, "Expressway management risk evaluation based on fuzzy neural networks," Proceedings of the Intelligent Computation Technology and Automation, 2009. Second International Conference on ICICTA'2009, IEEE.
    24. T. Zayed, M. Amer, and J. Pan, (2008), "Assessing risk and uncertainty inherent in Chinese highway projects using AHP", International Journal of Project Management, Vol. 26, No. 4, pp. 408-419.
    25. S. D. Zoysa, and A. D. Russell, (2003), "Knowledge-based risk identification in infrastructure projects", Canadian Journal of Civil Engineering, Vol. 30, No. 3, pp. 511-522.

       

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