TECHNICAL PAPERS
Mar 16, 2011

Identification of Risk Paths in International Construction Projects Using Structural Equation Modeling

Publication: Journal of Construction Engineering and Management
Volume 137, Issue 12

Abstract

The major aim of this research is to demonstrate that causal relationships exist among various risk factors that necessitate identification of risk paths, rather than individual risk factors, during risk assessment of construction projects. International construction projects have more complex risk-emergence patterns because they are affected by global and foreign country conditions and project-related factors. Identification of a network of interactive risk paths, each of which initiated from diverse vulnerabilities of the project system, is considered to be a better reflection of the real conditions of construction projects than the use of generic risk checklists. In this study, using the data from 166 projects carried out by Turkish contractors in international markets and utilizing structural equation modeling (SEM) techniques, 36 interrelated risk paths were identified and the total effects of each vulnerability factor and risk path on cost overrun were assessed. SEM findings demonstrate that every risk path is initiated from a specific vulnerability factor related to project environment, and that contractor-specific vulnerabilities have the most effect on project cost overrun. Risk identification using SEM helps decision makers in answering what-if questions in the early stages of a project, tracing the effects of interdependent risks throughout the life cycle of the project and evaluating the influence of alternative mitigation strategies, not only on specific risks but also on the whole network of interrelated risk factors.

Get full access to this article

View all available purchase options and get full access to this article.

Acknowledgments

This paper presents the preliminary findings of a three-year research project entitled “Development of a Multi-Agent System for Risk Management of International Construction Projects” and sponsored by the Turkish Scientific and Technological Research Council (TUBITAK) under Grant No. UNSPECIFIED107M334 and the Turkish Academy of Sciences (TUBA).

References

Akinci, B., and Fischer, M. (1998). “Factors affecting contractors’ risk of cost overburden.” J. Manage. Eng., 14(1), 67–76.
Al-Bahar, J. F., and Crandall, K. C. (1990). “Systematic risk management approach for construction projects.” J. Constr. Eng. Manage., 116(3), 533–546.
Alnuaimi, A. S., Taha, R. A., Mohsin, M. A., and Al-Harthi, A. S. (2010). “Causes, effects, benefits, and remedies of change orders on public construction projects in Oman.” J. Constr. Eng. Manage., 136(5), 615–622.
Anderson, J., and Gerbing, D. (1988). “Structural equation modeling in practice: A review and recommended two-step approach.” Psychol. Bull., 103(3), 411–423.
Arrindell, W. A., Sanavio, E., and Aguilar, G. (1999). “The development of a short form of the EMBU: Its appraisal with students in Greece, Guatemala, Hungary and Italy.” Pers. Individ. Differ., 27(4), 613–628.
Ashley, D. B., and Bonner, J. J. (1987). “Political risks in international construction.” J. Constr. Eng. Manage., 113(3), 447–467.
Baloi, D., and Price, A. D. F. (2003). “Modelling global risk factors affecting construction cost performance.” Int. J. Proj. Manage., 21(4), 261–269.
Barber, R. B. (2005). “Understanding internally generated risks in projects.” Int. J. Proj. Manage., 23(8), 584–590.
Belassi, W., and Tukel, O. I. (1996). “A new framework for determining critical success/failure factors in projects.” Int. J. Proj. Manage., 14(3), 141–151.
Bentler, P. M. (2006). EQS 6 Structural Equations Program Manual, Multivariate Software, Encino, CA.
Browne, M. W., and Cudeck, R. (1993). “Alternative ways of assessing model fit.” Testing structural equation models, K. A. Bollen and J. S. Long, eds., Sage Publications, Newberry Park, CA, 445–455.
Byrne, B. M. (2006). Structural equation modeling with EQS: Basic concepts, applications, and programming, 2nd Ed., Lawrence Erlbaum Associates, London.
Chapman, R. J. (1998). “The effectiveness of working group risk identification and assessment techniques.” Int. J. Proj. Manage., 16(6), 333–343.
Chou, C. P., and Bentler, P. M. (1990). “Model modification in covariance structure modelling: A comparison among likelihood ratio, Lagrange multiplier, and Wald tests.” Multivariate Behav. Res., 25(1), 115–136.
Dikmen, I., Birgonul, M. T., Anac, C., Tah, J. H. M., and Aouad, G. (2008a). “Learning from risks: A tool for post-project risk assessment.” Autom. Constr., 18(1), 42–50.
Dikmen, I., Birgonul, M. T., and Fidan, G. (2008b). “Assessment of project vulnerability as a part of risk management in construction.” Proc., Joint CIB W065/W055 Symp., Conseil International du Bâtiment (CIB), Rotterdam, Netherlands.
Dikmen, I., Birgonul, M. T., and Fidan, G. (2009). “A risk and vulnerability ontology for construction projects.” Int. J. Eng. Manage., 1(1), 63–70.
Dikmen, I., Birgonul, M. T., and Han, S. (2007a). “Using fuzzy risk assessment to rate cost overrun risk in international construction projects.” Int. J. Proj. Manage., 25(5), 494–505.
Dikmen, I., Birgonul, M. T., Tah, J. H. M., and Aouad, G. (2007b). “A learning based approach for risk management.” 1st Symp., Towards the Foundation of Theory for the Built Environment, Salford Centre for Research and Innovation, Salford, U.K.
Ezell, B. C. (2007). “Infrastructure vulnerability assessment model I-VAM.” Risk Anal., 27(3), 571–583.
Fidan, G., Dikmen, I., Tanyer, A. M., and Birgonul, M. T. (2011). “Ontology for relating risk and vulnerability to cost overrun in international projects.” J. Comput. Civ. Eng., 25(4), 302–315.
Garson, G. D. (2008). Structural equation modeling, Public Administration Program, Raleigh, NC.
Garver, M. S., and Mentzer, J. T. (1999). “Logistics research methods: Employing structural equation modeling to test for construct validity.” J. Bus. Logist., 20(1), 33–58.
Ghosh, S., and Jintanapakanont, J. (2004). “Identifying and assessing the critical risk factors in an underground rail project in Thailand: A factor analysis approach.” Int. J. Proj. Manage., 22(8), 633–643.
Gunhan, S., and Arditi, D. (2005). “Factors affecting international construction.” J. Constr. Eng. Manage., 131(3), 273–282.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (2006). Multivariate data analysis, 6th Ed., Pearson Prentice-Hall, Upper Saddle River, NJ.
Han, S. H., and Diekmann, J. E. (2001). “Approaches for making risk-based go/no-go decision for international projects.” J. Constr. Eng. Manage., 127(4), 300–308.
Han, S. H., and Diekmann, J. E. (2004). “Judgment-based cross-impact method for predicting cost variance for highly uncertain projects.” J. Constr. Res., 5(2), 171–192.
Han, S. H., Kim, D. Y., Kim, H., and Jang, W. S. (2008). “A web-based integrated system for international project risk management.” Autom. Constr., 17(3), 342–356.
Han, S. H., Park, S. H., Kim, D. Y., Kim, H., and Kang, Y. W. (2007). “Causes of bad profit in overseas construction projects.” J. Constr. Eng. Manage., 133(12), 932–943.
Hastak, B. M., and Shaked, A. (2000). “ICRAM-1: Model for international construction risk assessment.” J. Manage. Eng., 16(1), 59–69.
Hwang, B. G., Thomas, S. R., Haas, C. T., and Caldas, C. H. (2009). “Measuring the impact of rework on construction cost performance.” J. Constr. Eng. Manage., 135(3), 187–198.
Jaccard, J., and Wan, C. K. (1996). “LISREL approaches to interaction effects in multiple regression.” Sage Univ. Paper Series: Quant. App. in Social Sci., 114, 7–114.
Jackson, J. L., Dezee, K., Douglas, K., and Shimeall, W. (2005). “Introduction to structural equation modeling (path analysis).” SGIM Precourse PA08, Society of General Internal Medicine (SGIM), Alexandria, VA.
Jashapara, A. (2003). “Cognition, culture and competition: An empirical test of the learning organization.” Learning Org. Int. J., 10(1), 31–50.
Kamara, J. M., Anumba, C. J., and Evbuomwan, N. F. O. (2002). Capturing client requirements in construction projects, Thomas Telford, London.
Kim, D., Han, S. H., Kim, H., and Park, H. (2009). “Structuring the prediction model of project performance for international construction projects: A comparative analysis.” Expert Syst. Appl., 36(2), 1961–1971.
Kline, R. B. (1998). Principles and practice of structural equation modeling, Guilford, New York.
Kline, R. B. (2005). Principles and practice of structural equation modeling, 2nd Ed, Guilford, New York.
Leung, H. M., Chuah, K. B., and Tummala, V. M. R. (1998). “A knowledge-based system for identifying potential project risks.” Int. J. Manag. Sci., 26(5), 623–638.
Molenaar, K., Washington, S., and Diekmann, J. (2000). “Structural equation model of construction contract dispute potential.” J. Constr. Eng. Manage., 126(4), 268–277.
Morris, P. W. G., and Hough, G. H. (1987). The anatomy of major projects, Wiley, London.
Munns, A. K., and Bjeirmi, B. F. (1996). “The role of project management in achieving project success.” Int. J. Proj. Manage., 14(2), 81–87.
Nunally, J. (1978). Psychometric theory, McGraw-Hill, New York.
Okpala, D. C., and Aniekwu, A. N. (1988). “Causes of high costs of construction in Nigeria.” J. Constr. Eng. Manage., 114(2), 233–244.
Sambasivan, M., and Soon, Y. W. (2007). “Causes and effects of delays in Malaysian construction industry.” Int. J. Proj. Manage., 25(5), 517–526.
Sivo, S. A., Fan, X., Witta, E. L., and Willse, J. T. (2006). “The search for “optimal” cut-off properties: Fit index criteria in structural equation modeling.” J. Exp. Educ., 74(3), 267–288.
Smith, N. J., Merna, T., and Jobling, P. (2006). Managing risk in construction projects, 2nd Ed., Wiley, London.
Standards Australia. (2004). “ Risk management.” Australian Standard AS 4360, Homebush, Australia.
Sun, M., and Meng, X. (2009). “Taxonomy for change causes and effects in construction projects.” Int. J. Proj. Manage., 27(6), 560–572.
Tah, J. H. M., and Carr, V. (2000). “A proposal for construction project risk assessment using fuzzy logic.” Constr. Manage. Econ., 18(4), 491–500.
Ullman, J. B. (2006). “Structural equation modeling: Reviewing the basics and moving forward.” J. Pers. Assess., 87(1), 35–50.
Wang, S. Q., Dulaimi, M. F., and Aguria, M. Y. (2004). “Risk management framework for construction projects in developing countries.” Constr. Manage. Econ., 22(3), 237–252.
Ward, S. C. (1999). “Assessing and managing important risks.” Int. J. Proj. Manage., 17(6), 331–336.
Zhang, H. (2007). “A redefinition of the project risk process: using vulnerability to open up the event-consequence link.” Int. J. Proj. Manage., 25(7), 694–701.
Zhi, H. (1995). “Risk management for overseas construction projects.” Int. J. Proj. Manage., 13(4), 231–237.
Zoysa, S. D., and Russell, A. D. (2003). “Knowledge-based risk identification in infrastructure projects.” Can. J. Civ. Eng., 30(3), 511–522.

Information & Authors

Information

Published In

Go to Journal of Construction Engineering and Management
Journal of Construction Engineering and Management
Volume 137Issue 12December 2011
Pages: 1164 - 1175

History

Received: Jul 28, 2010
Accepted: Mar 14, 2011
Published online: Mar 16, 2011
Published in print: Dec 1, 2011

Permissions

Request permissions for this article.

Authors

Affiliations

Matineh Eybpoosh [email protected]
Research Assistant, Dept. of Civil Engineering, Middle East Technical Univ., 06531, Ankara, Turkey (corresponding author). E-mail: [email protected]
Irem Dikmen [email protected]
Professor, Dept. of Civil Engineering, Middle East Technical Univ., 06531, Ankara, Turkey. E-mail: [email protected]
M. Talat Birgonul [email protected]
Professor, Dept. of Civil Engineering, Middle East Technical Univ., 06531, Ankara, Turkey. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Article
$35.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share