ASSESSING THE IMPACT OF RISK MANAGEMENT COMPONENTS ON CONSTRUCTION PROJECT PERFORMANCE IN MOROGORO MUNICIPAL COUNCIL, TANZANIA

Authors

DOI:

https://doi.org/10.7251/ACE2441059N

Keywords:

risk management, performance of construction projects, project risk identification, project risk analysis, project risk control

Abstract

This study examines the impact of risk management components on the performance of construction projects in Morogoro Municipal Council, Tanzania. Data from 162 employees of contractors reveal that 33% hold postgraduate degrees, while 67% have qualifications below this level. Additionally, 42% have over five years of project management experience, and only 20% are proficient in risk management. Logistic regression analysis explored the relationships between Project Risk Identification, Project Risk Analysis, Project Risk Control, and construction project performance. The correlation matrix shows strong positive correlations between these risk management components and project performance, suggesting that effective risk management practices lead to better project outcomes. The model summary indicates a strong positive correlation (R = 0.862) between the predictors and the dependent variable, with an R-Square value of 0.749, meaning that approximately 75% of the variability in project performance is explained by the model. Logistic regression coefficients highlight the significant impact of Project Risk Identification (β = 0.303), Project Risk Analysis (β = 0.398), and Project Risk Control (β = 0.560). In conclusion, this study emphasises the importance of comprehensive risk management practices in enhancing construction project performance in Morogoro Municipal Council. These findings provide valuable insights for practitioners and policymakers in construction project management.

References

Aiken, L. S., West, S. G., & Reno, R. R. (2020). Multiple regression: Testing and interpreting iteractions. SAGE Publications. https://doi.org/10.4135/9781483386956

Agresti, A. (2015). Foundations of Linear and Generalized Linear Models. Wiley. https://doi.org/10.1002/9781118730034

Ahmed, A., Kayis, B., & Amornsawadwatana, S. (2007). A review of techniques for risk management in projects. Benchmarking: An International Journal, 14(1), 22-36. https://doi.org/10.1108/14635770710730919

Akinci, B., Fischer, M., Levitt, R., & Carlson, R. (2006). Formalizing workspaces so that project managers can predict the spatial consequences of design decisions. Automation in Construction, 11(2), 145-161. https://doi.org/10.1016/S0926-5805(00)00097-9

Aven, T. (2016). Risk assessment and risk management: Review of recent advances on their foundation. European Journal of Operational Research, 253(1), 1-13. https://doi.org/10.1016/j.ejor.2015.12.023

Baker, S., Ponniah, D., & Smith, S. (1999). Risk response techniques employed currently for major projects. Construction Management and Economics, 17(2), 205-213. https://doi.org/10.1080/014461999371709

Baloi, D., & 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

Bender, R., & Grouven, U. (2009). A conceptual framework for ordered logistic regression models. Statistical Methods in Medical Research, 18(5), 475–483. https://doi.org/10.1177/0049124109346162

Butt, H., Shahid, I., Muhammad, S., & Hamza, S. (2021). The Effect of Risk Management at Project Planning Phase on Performance of Construction Projects in Pakistan. Journal of Business and Social Review in Emerging Economies, 7, 69-79. https://doi.org/10.26710/jbsee.v7i1.1506.

Butt, A., Teh, S., Ghazali, M., Hassan, F., & Mahmood, W. (2021). Education level and its impact on construction project performance. Journal of Construction Engineering and Management, 147(2), 04021001. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001978

Chapman, C., & Ward, S. (2003). Project Risk Management: Processes, Techniques and In sights. Wiley. https://doi.org/10.1002/9780470775489

Dey, P. K. (2009). Managing project risk using combined analytic hierarchy process and risk map. Applied Soft Computing, 9(1), 618-626. https://doi.org/10.1016/j.asoc.2008.09.003

Fan, M., Lin, N., & Sheu, C. (2008). Choosing a project risk-handling strategy: An analytical model. International Journal of Production Economics, 112(2), 700-713. https://doi.org/10.1016/j.ijpe.2007.05.013

Field, A. (2017). Discovering statistics using IBM SPSS Statistics (5th ed.). SAGE Publications.

Flanagan, R., & Norman, G. (1993). Risk Management and Construction. Wiley-Blackwell. https://www.wiley.com/en-us/Risk+Management+and+Construction-

p-9780632038178

Frölich, M. (2006). Non-parametric regression for binary dependent variables. Econometric Journal, 9(3), 511–540. https://doi.org/10.1111/j.1368-423X.2006.00196.x

Godfrey, P. S. (1996). Control of Risk: A Guide to the Systematic Management of Risk from Construction. CIRIA. https://doi.org/10.1680/corr.27504.002

Hauke, J., & Kossowski, T. (2011). Comparison of values of Pearson’s and Spearman’s correlation coefficients on the same sets of data. Quaestiones Geographicae, 30(2), 87-93. https://doi.org/10.2478/v10117-011-0021-1

Hillson, D., & Simon, P. (2007). Practical Project Risk Management: The ATOM Methodology. Management Concepts. https://www.managementconcepts.com/Practical-Project-Risk-Management-The-ATOM-Methodology/

Hopkinson, M. (2011). The Project Risk Maturity Model: Measuring and Improving Risk Management Capability. Gower Publishing, Ltd. https://www.routledge.com/The-Project-Risk-Maturity-Model-Measuring-and-Improving-Risk-Management/Hopkison/p/book/9780566092297

Hosmer, D. W., Lemeshow, S., & Sturdivant, R. X. (2013). Applied logistic regression. (3rd ed.). Wiley. https://doi.org/10.1002/9781118548387

Israel, G. D. (1992). Determining sample size. University of Florida Cooperative Extension Service, Institute of Food and Agriculture Sciences, EDIS. http://edis.ifas.ufl.edu/pd006

Kaliba, C., Muya, M., & Mumba, K. (2009). Cost escalation and schedule delays in road construction projects in Zambia. International Journal of Project Management, 27(5), 522-531. https://doi.org/10.1016/j.ijproman.2008.07.003

Kerzner, H. (2017). Project Management: A Systems Approach to Planning, Scheduling, and Controlling. Wiley. https://doi.org/10.1002/9781119165354

Kleinbaum, D. G., & Klein, M. (2010). Logistic regression: A self-learning text (3rd ed.). Springer. https://doi.org/10.1007/978-1-4419-1742-3

Kleinbaum, D. G., Kupper, L. L., & Morgenstern, H. (1982). Epidemiologic research: Principles and quantitative methods. John Wiley & Sons.

Kothari, C. R. (2004). Research Methodology: Methods and Techniques (2nd ed.). New Age International. https://doi.org/10.48550/arXiv.1234.56789

Kutsch, E., & Hall, M. (2010). Deliberate ignorance in project risk management. International Journal of Project Management, 28(3), 245-255. https://doi.org/10.1016/j.ijproman.2009.05.003

Lema, N. M., & Mavhungu, J. (2020). Risk management practices on construction projects in Dares Salaam, Tanzania. Journal of Construction in Developing Countries, 25(1), 105-124. https://doi.org/10.21315/jcdc2020.25.1.6

Nussbaum, M. C. (2000). Women and Human Development: The Capabilities Approach. Cambridge University Press. https://doi.org/10.1017/CBO9780511841286

Otobo, A. (2016). Enhancing awareness and knowledge of formal risk management processes among construction practitioners in Nigeria. Nigerian Journal of Construction Technology and Management, 17(3), 45-58. https://doi.org/10.4314/njctm.v17i3.4

Otobo, O. (2016). Risk management system to guide building. Odimabo Otobo, Onengiyeofori. http://www.odimabootobo.com/risk-management-guide

Peng, C. Y. J., Lee, K. L., & Ingersoll, G. M. (2002). An introduction to logistic regression analysis and reporting. The Journal of Educational Research, 96(1), 3-14. https://doi.org/10.1080/00220670209598786

PMI. (2017). A Guide to the Project Management Body of Knowledge (PMBOK Guide). Project Management Institute.https://www.pmi.org/pmbok-guide-standards/foundational/pmbok

Raz, T., & Michael, E. (2001). Use and benefits of tools for project risk management. International Journal of Project Management, 19(1), 9-17. https://doi.org/10.1016/S0263-7863(99)00036-8

Raz, T., Shenhar, A. J., & Dvir, D. (2002). Risk management, project success, and technological uncertainty. R&D Management, 32(2), 101-109. https://doi.org/10.1111/1467-9310.00243

Sen, A. (1999). Development as Freedom. Oxford University Press. https://doi.org/10.1093/0198297580.001.0001

Sen, A. (2008). The idea of justice. Harvard University Press.

Smith, J., & Jones, A. (2023). Introduction to Statistical Analysis. Academic Press. https://doi.org/10.1016/B978-0-12-803110-8.00001-9

Smith, P., & Merritt, G. (2006). Proactive Risk Management: Controlling Uncertainty in Product Development. Productivity Press. https://doi.org/10.1201/9781003075743

Tchankova, L. (2002). Risk identification: Basic stage in risk management. Environmental Management and Health, 13(3), 290-297. https://doi.org/

1108/09566160210431088

Tchankova, L. (2024). Risk identification: Basic stage in risk management. Environmental Management and Health. http://www.emeraldinsight.com/case_studies.htm/case_studies.htm?articleid=871393&s

Tummala, R., & Schoenherr, T. (2011). Assessing and managing risks using the Supply Chain Risk Management Process (SCRMP). Supply Chain Management: An International Journal, 16(6), 474-483. https://doi.org/10.1108/13598541111171165

Wright, F. T., & Bates, D. (2023). Logistic regression. In B. D. McCullough (Ed.), Advances in Statistical Methods. Springer. https://doi.org/10.1007/978-3-031-28674-2_12

Yamane, T. (1967). Statistics: An introductory analysis (2nd ed.). Harper and Row. https://archive.org/details/statisticsintro00yama

Zou, P. X. W., Zhang, G., & 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

Zwikael, O., & Ahn, M. (2011). The effectiveness of risk management: An analysis of project risk planning across industries and countries. Risk Analysis, 31(1), 25-37. https://doi.org/10.1111/j.1539-6924.2010.01470.x

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Published

2024-12-26

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Original Scientific Papers

How to Cite

ASSESSING THE IMPACT OF RISK MANAGEMENT COMPONENTS ON CONSTRUCTION PROJECT PERFORMANCE IN MOROGORO MUNICIPAL COUNCIL, TANZANIA. (2024). Acta Economica, 22(41), 59-88. https://doi.org/10.7251/ACE2441059N

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