Effect of Critical Risk Factors Causing Cost Deviation in Medium Sized Construction Projects
Main Article Content
Abstract
Risk is the outcome of an event which may be predicted on the basis of statistical probability. Construction projects have inherent risks associated with it. The main aim of this paper is to identify the critical risk factors and to propose a model to find the probability of cost deviation in medium sized construction projects. A total of 46 risk factors were shortlisted based on pilot study and experts' opinion. A questionnaire survey was conducted among 223 various construction professionals each representing one project i.e. from 223 different projects. Based on factor analysis, 46 risk factors which influence the cost deviation in construction projects were classified under nine key risk groups viz. project scope and evaluation risk, work environment risk, documentation and legal framework risk, construction and operational risk, resource productivity risk, knowledge sharing risk, site supervision risk, financial viability risk and lean construction risk. Logistic regression analysis was also carried out to develop a model to find the probability of cost deviation in construction projects. It is concluded that the risk groups such as project scope and evaluation risk, site supervision risk, knowledge sharing risk and lean construction risk are having higher influence in the cost deviation in medium sized construction projects. By setting the effective baseline of the project like estimation of original project cost and detailed project report, cost deviations in medium size construction projects can be eliminated. Detailed recommendations are also provided.
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References
Abdelgawad, M. and Fayek, A.R. (2010). Risk mangement in the construction industry using combined fuzzy FMEA and fuzzy AHP. Journal of Construction Engineering and Management, 136(9): 1028–1036. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000210.
Baghdadi, A. and Kishk, M. (2015). Saudi Arabian aviation construction projects: Identification of risks and their consequences. Procedia Engineering, 123: 32– 40. https://doi.org/10.1016/j.proeng.2015.10.054.
Baloi, D. and Price, A.D.F. (2003). Modelling global risk factors affecting construction cost performance. International Journal of Project Management, 21(4): 261– 269. https://doi.org/10.1016/S0263-7863(02)00017-0.
Bing, L., Akintoye, A., Edwards, P.J. and Hardcastle, C. (2005). The allocation of risk in PPP/PFI construction projects in the UK. International Journal of Project Management, 23(1): 25–35. https://doi.org/10.1016/j.ijproman.2004.04.006.
Chua, D.K.H. and Li, D. (2000). Key factors in bid reasoning model. Journal of Construction Engineering and Management, 126(5): 349–357. https://doi.org/10.1061/(ASCE)0733-9364(2000)126:5(349).
Dey, P.K. (2002). Project risk management: A combined analytical hierarchy process and decision tree approach. Cost Engineering, 44(3): 13–26.
Dikmen, I., Birgonul, M.T. and Han, S. (2007). Using fuzzy risk assessment to rate cost overrun risk in international projects. International Journal of Project Management, 25(5): 494–505. https://doi.org/10.1016/j.ijproman.2006.12.002.
Doloi, H., Sawhney, A., Iyer, K.C. and Rentala, S. (2012). Analysing factors affecting delays in Indian construction projects. International Journal of Project Management, 30(4): 479–489. https://doi.org/10.1016/j.ijproman.2011.10.004.
Dulaimi, M.F. and Shan, H.G. (2002). The factors influencing bid mark-up decisions of large and medium size contractors in Singapore. Construction Management and Economics, 20(7): 601–610. https://doi.org/10.1080/01446190210159890.
Enshassi, A. and Mosa, J.A. (2008). Risk management in building projects: Owners perspective. The Islamic University Journal (Series of Natural Studies and Engineering), 16(1): 95–123.
Eybpoosh, M., Dikmen, I. and Birgonul, M.T. (2011). Identification of risk paths in international construction projects using structural equation modeling. Journal of Construction Engineering and Management, 137(12): 1164–1175. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000382.
Goh, C.S., Rahman, H.A. and Samad, Z.A. (2013). Applying risk management workshop for a public construction project: Case study. Journal of Construction Engineering and Management, 139(5): 572–580. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000599.
Hair, J.F., Black, W.C., Babin, B.J., Anderson, R.E. and Tatham, R.L. (2012). Multivariate Data Analysis. 6th Ed. New Jersey: Pearson.
Hwang, B.-G., Zhao, X. and Toh, L.P. (2014). Risk management in small construction projects in Singapore: Status, barriers and impact. International Journal of Project Management, 321(1):16–124. https://doi.org/10.1016/j.ijproman.2013.01.007.
Jha, K.N. and Devaya, M.N. (2010). Modelling the risks faced by Indian construction companies assessing international projects. Construction Management and Economics, 26(4): 337–348. https://doi.org/10.1080/01446190801953281.
Klynveld Peat Marwick Goerdeler (KPMG) (2013). Study on Project Schedule and Cost Overruns: Expedite Infrastructure Projects. New Delhi: Project Management Institute (PMI)-KPMG. Available at: https://www.pmi.org.in/pdfs/white_paper/PMI_WhitePaper__301120171237_study-on-project-schedule-and-cost.pdf.
Laryea, S. and Hughes, W. (2011). Risk and price in the bidding process of contractors. Journal of Construction Management and Engineering, 137(4): 248–258. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000293.
Mubarak, S. (2010). Construction Project Scheduling and Control. New York: John Wiley and Sons. https://doi.org/10.1002/9780470912171.
Nunnally, J.C. (1978). Psychometric Theory. 2nd Ed. New York: McGraw-Hill.
Ogunsanmi, O.E., Salako, O.A. and Ajayi, O.M. (2011). Risk classification model for design and build projects. Journal of Engineering, Project and Production Management, 1(1): 46–60. https://doi.org/10.32738/JEPPM.201107.0006.
Park, J., Park, B., Cha, Y. and Hyun, C. (2016). Risk factors assessment considering change degree for mega-projects. Procedia Social and Behavioral Sciences, 218: 50–55. https://doi.org/10.1016/j.sbspro.2016.04.009.
Renuka, S.M., Umarani, C. and Kamal, S. (2014). A review on critical risk factors in the life cycle of construction projects. Journal of Civil Engineering Research, 4(2A): 31–36.
Serpella, A.F., Ferrada, X., Howard, R. and Rubio, L. (2014). Risk management in construction projects: A knowledge-based approach. Procedia Social and Behavioral Sciences, 119: 653–662. https://doi.org/10.1016/j.sbspro.2014.03.073.
Shen, L.Y., Wu, G.W.C. and Ng, C.S.K. (2001). Risk assessment for construction joint ventures in China. Journal of Construction Engineering and Management, 127(1): 76–81. https://doi.org/10.1061/(ASCE)0733-9364(2001)127:1(76).
Smith, G.R. and Bohn, C.M. (1999). Small and medium contractor contingency and assumption of risk. Journal of Construction Engineering Management, 125(2): 101–109. https://doi.org/10.1061/(ASCE)0733-9364(1999)125:2(101).
Tamosaitiene, J., Zavadskas, E.K. and Turkis, Z. (2013). Multi-criteria risk assessment of a construction project. Procedia Computer Science, 17: 129–133. https://doi.org/10.1016/j.procs.2013.05.018.
Taroun, A. (2014). Towards a better modeling and assessment of construction risk Insights from a literature review. International Journal of Project Management, 32(1): 101–115. https://doi.org/10.1016/j.ijproman.2013.03.004.
Thomas, A.V., Kalidindi, S. and Ganesh, L.S. (2006). Modelling and assessment of critical risks in BOT road projects. Construction Management and Economics, 24(4): 407–424. https://doi.org/10.1080/01446190500435275.
Toh, T.-C., Ting, C., Ali, K.-N., Aliagha, G.-U. and Munir, O. (2012). Critical cost factors of building construction projects in Malaysia. Procedia Social and Behavioral Sciences, 57: 360–367. https://doi.org/10.1016/j.sbspro.2012.09.1198.
Torp, O., Belay, A.M., Thodesen, C. and Klakegg, O.J. (2016). Cost development over time at construction planning phase: Empirical evidence from Norwegian construction projects. Procedia Engineering, 145: 1177–1184. https://doi.org/10.1016/j.proeng.2016.04.152.
Wang, J. and Yuan, H. (2011). Factors affecting contractors risk attitudes in construction projects: Case study from China. International Journal of Project Management, 29(2): 209–219. https://doi.org/10.1016/j.ijproman.2010.02.006.
Wang, S.Q., Dulaimi, M.F. and Aguria, M.Y. (2004). Risk management framework for construction projects in developing countries. Construction Management and Economics, 22(3): 237–252. https://doi.org/10.1080/0144619032000124689.
Zeng, J.M. and Smith, N.J. (2007). Application of a fuzzy based decision making methodology to construction project risk assessment. International Journal of Project Management, 25(6): 589–600. https://doi.org/10.1016/j.ijproman.2007.02.006.
Zinbarg, R., Revelle, W., Yovel, I. and Li, W. (2005). Cronbach's, Revelle's and McDonald's: Their relations with each other and two alternative conceptualizations of reliability. Psychometrika, 70: 123–133. https://doi.org/10.1007/s11336-003-0974-7.
Zou, P.X.W., Zhang, G. and Wang, J. (2007). Understanding the key risks in construction projects in China. International Journal of Project Management, 25(6): 601– 614. https://doi.org/10.1016/j.ijproman.2007.03.001.