Analyzing the Effectiveness of Risk Management Strategies in Procurement Processes in Construction Companies in Lusaka, Zambia


Authors : Mwiza Sikanyika; Chimbomba Kilvin

Volume/Issue : Volume 10 - 2025, Issue 2 - February


Google Scholar : https://tinyurl.com/9n95xks7

Scribd : https://tinyurl.com/2ad7p5hw

DOI : https://doi.org/10.5281/zenodo.14964527


Abstract : Effective risk management in procurement is crucial for the success of construction projects, particularly in emerging markets like Lusaka, Zambia. This study aimed to analyze risk management practices in procurement options within the construction industry in Lusaka, Zambia. The study made use of a cross-section design employing a quantitative research approach with a sample size of 40 construction companies. The research explored the various procurement methods employed by construction firms, identified and assessed risks associated with each method, and examined the adoption of risk mitigation strategies. A comprehensive survey instrument was administered to a representative sample of construction professionals. The data collected was analyzed using statistical techniques to identify trends, patterns, and relationships within the dataset. Key variables such as procurement method, risk identification, risk assessment, and risk mitigation strategies were analyzed to provide insights into the state of risk management practices in the local construction industry. Risk associated with procurement methodologies varies, with 40% perceiving it as "Low" and 30% as "Very high." The study identifies schedule delays as the most cited risk, and participants express concerns about cost overruns, lack of competitive pricing, and quality issues. Binomial inference results provide nuanced insights into participants' perceptions of risks associated with their procurement methods. The majority of participants report experiencing significant risk-related incidents in the past year, with notable associations between procurement methodologies and the incidence of risk-related issues. Confidence in predicting project outcomes varies, with a majority expressing a lack of confidence. Participants identify "Design and build" as the procurement option associated with the highest level of uncertainty. Correlation analysis revealed that larger projects tended to opt for different procurement methods. Participants often faced changes in project scope, budget, and timelines due to procurement, emphasizing the importance of risk management. This study's findings aligned with broader research, emphasizing early risk identification, robust project planning, technology use, risk allocation, contingency planning, regular review, historical analysis, and early issue detection as key factors for effective risk management in construction projects.

Keywords : Risk Management, Procurement Options, Construction Industry, Procurement Methods, Risk Identification, Risk Assessment, Risk Mitigation, Construction Projects.

References :

  1. Abdelhadi, M. S., Alwan, Z., & Shubber, N. A. (2021). "The impact of technology on construction industry in Saudi Arabia." International Journal of Construction Management, 1-10.
  2. Abdi, H., Wafula, P., & Nyabera, G. (2018). "Advanced Risk Analysis Techniques and Scenario Planning for Enhanced Risk Management in Kenyan Construction." Journal of Construction Engineering and Management, 144(9), 04018086.
  3. Abioye, S. O., Oyedele, L. O., Akanbi, L., Ajayi, A., Delgado, J. M. D., Bilal, M., Akinade, O. O., & Ahmed, A. (2021). Artificial intelligence in the construction industry: A review of present status, opportunities and future challenges. Journal of Building Engineering, 44, 103299.
  4. Adebayo, A., Ogunlana, S., & Williams, F. (2020). "Proactive Risk Management Strategies in South African Construction Projects." Journal of Project Management, 25(3), 68-83.
  5. Adewale, O., et al. (2017). "Assessing Risk Profiles in Different Procurement Options in the Nigerian Construction Sector." Construction Management Journal, 34(2), 45-58.
  6. Agyemang, K., et al. (2019). "Risk Profiles in Different Procurement Options within the Ghanaian Construction Sector." International Journal of Project Management, 32(5), 75-88.
  7. Afzal, F., Yunfei, S., Nazir, M., & Bhatti, S. M. (2019). A review of artificial intelligence-based risk assessment methods for capturing complexity-risk interdependencies: Cost overrun in construction projects. International Journal of Management, Project and Business, 14(2), 300–328.
  8. Ahmad, Z., Thaheem, M. J., & Maqsoom, A. (2018). Building information modeling as a risk transformer: An evolutionary insight into the project uncertainty. Automation in Construction, 92, 103–119.
  9. Ahn, S., Crouch, L., Kim, T. W., & Rameezdeen, R. (2020). Comparison of worker safety risks between onsite and offsite construction methods: A site management perspective. Journal of Construction Engineering and Management, 146(9), 5020010.
  10. Al-Hussein, M., Alzraiee, H., & Tanyimboh, T. (2019). "Influence of big data on risk management in construction." Proceedings of the Institution of Civil Engineers-Management, Procurement and Law, 172(4), 138-146.
  11. Alawari, N. O., Alkasassbeh, M., & Alawneh, H. (2020). "Building information modeling adoption by small and medium-sized construction firms: The case of Jordan." Engineering, Construction and Architectural Management, 27(10), 2576-2593.
  12. Amaral, T., Brito, P. Q., & Steiger-Garção, A. (2019). "Building information modeling (BIM) as a facilitator for lean construction." Journal of Building Engineering, 25, 100774.
  13. Banda, F., et al. (2017). "Risk Assessment in the Malawian Construction Sector: A Comparative Study of Various Procurement Options." Journal of Construction Risk Management, 25(3), 89-102.
  14. Brown, M., et al. (2017). "Comparative Risk Assessment of Construction Procurement Options in the United Kingdom." Construction Management and Economics, 35(9), 543-560.
  15. Celik, E., & Gul, M. (2021). Hazard identification, risk assessment and control for dam construction safety using an integrated BWM and MARCOS approach under interval type-2 fuzzy sets environment. Automation in Construction, 127, 103699.
  16. Chen, L., Lu, Q. C., Li, S., He, W. J., & Yang, J. (2021). Bayesian Monte Carlo simulation-driven approach for construction schedule risk inference. Journal of Management in Engineering, 37(2), 04020115.
  17. Dawood, N., Lu, S. L., & Olanipekun, A. O. (2021). "A novel framework for uncertainty assessment in BIM-enabled construction projects." Automation in Construction, 125, 103570.
  18. Dehdasht, G., Zin, R. M., Ferwati, M. S., Abdullahi, M. M., Keyvanfar, A., & McCaffer, R. (2017). DEMATEL-ANP risk assessment in oil and gas construction projects. Sustainability, 9(8), 1420.
  19. Khalfan, M. M. A., Maqsood, T., & Arif, M. (2018). "Towards risk management in construction projects: Using BIM as a catalyst for enhanced communication." International Journal of Project Management, 36(1), 174-185.
  20. Kibet, J., et al. (2019). "Comparative Analysis of Risk Profiles in Various Procurement Options within the Kenyan Construction Industry." International Journal of Construction Engineering and Management, 8(4), 122-135.
  21. Kim, S., et al. (2018). "Managing Project Risks through Procurement Options: A South Korean Perspective." Construction Innovation, 18(2), 135-153.
  22. Kowalski, P., et al. (2018). "Risk Assessment of Construction Industry Procurement Methods in Poland." Journal of Construction Engineering and Management, 144(10), 04018074.
  23. Lesailane, M. P. (2017). An assessment of standard forms of contracts in the South African construction industry (Doctoral dissertation, University of Johannesburg).
  24. Li, W., et al. (2021). "Comparative Risk Analysis of Construction Procurement Options in Canada." Journal of Construction Engineering and Management, 147(2), 04020107.
  25. Li, X., et al. (2018). "Risk Profiles of Construction Procurement Options in China: A Comparative Study." International Journal of Project Management, 36(5), 802-817.
  26. Masuku, B., Ncube, S., & Ndlovu, L. (2019). "Cross-Functional Collaboration and Strategic Risk Management in Zimbabwean Construction Projects." African Journal of Construction Management, 20(2), 56-72.
  27. Mokua, P., et al. (2020). "Joint Ventures and Competitive Bidding: A Comparative Analysis of Risk Profiles in the Kenyan Construction Industry." Construction Management and Economics, 38(6), 99-112.
  28. Muhamed, K., Kimani, L., & Wambua, P. (2019). "Collaborative Risk Workshops and Technology Adoption in Kenyan Construction: A Comparative Study." International Journal of Construction Management, 16(5), 278-294.
  29. Mulugeta, M., Yu, J., & Kim, Y. S. (2020). "Developing a cloud-based risk management platform for the construction industry." Automation in Construction, 108, 103247.
  30. Nguyen, H., et al. (2021). "Risk Assessment of Construction Procurement Methods in Australia." Journal of Construction Engineering and Management, 147(7), 04021039.
  31. Nguyen, T., et al. (2020). "Assessing Risk Profiles of Different Procurement Options in the Australian Construction Industry." Australian Journal of Construction Economics and Building, 20(3), 87-104.
  32. Nwosu, C., Johnson, A., & Smith, D. (2018). "Effective Risk Management Strategies in the Nigerian Construction Industry." Construction Management Journal, 15(2), 45-62.
  33. Schneider, P., et al. (2019). "Collaborative Approaches to Risk Management in German Construction Projects: A Comparative Analysis of Procurement Options." Journal of Construction Engineering and Management, 145(7), 04019035.
  34. Tembo, M., Mwanaumo, E. M. U., & Kahanji, C. (2023). An Investigation into Construction Tender-Price Inflation: A Documentary Review. Journal of Construction Business and Management, 6(1), 17-32.
  35. Touré, K., Guei, E., & Kouassi, J. (2020). "Quantitative Risk Analysis and Protocols for Effective Risk Management in Ivory Coast's Construction Industry." Risk Management Review, 28(6), 125-142.
  36. Yamamoto, K., et al. (2022). "Enhancing Construction Project Outcomes in Japan: Comparative Risk Profiles of Procurement Options." International Journal of Project Management, 40, 216-231.
  37. Zhang, L., et al. (2016). "Comparative Risk Analysis of Construction Industry Procurement Options in China." International Journal of Construction Management, 32(4), 301-318.
  38. Zhang, X., Yun, Y. J., & Kim, Y. S. (2020). "A model to identify factors affecting the adoption of construction technology innovations: A perspective of change recipients." Sustainability, 12(7), 2812.

Effective risk management in procurement is crucial for the success of construction projects, particularly in emerging markets like Lusaka, Zambia. This study aimed to analyze risk management practices in procurement options within the construction industry in Lusaka, Zambia. The study made use of a cross-section design employing a quantitative research approach with a sample size of 40 construction companies. The research explored the various procurement methods employed by construction firms, identified and assessed risks associated with each method, and examined the adoption of risk mitigation strategies. A comprehensive survey instrument was administered to a representative sample of construction professionals. The data collected was analyzed using statistical techniques to identify trends, patterns, and relationships within the dataset. Key variables such as procurement method, risk identification, risk assessment, and risk mitigation strategies were analyzed to provide insights into the state of risk management practices in the local construction industry. Risk associated with procurement methodologies varies, with 40% perceiving it as "Low" and 30% as "Very high." The study identifies schedule delays as the most cited risk, and participants express concerns about cost overruns, lack of competitive pricing, and quality issues. Binomial inference results provide nuanced insights into participants' perceptions of risks associated with their procurement methods. The majority of participants report experiencing significant risk-related incidents in the past year, with notable associations between procurement methodologies and the incidence of risk-related issues. Confidence in predicting project outcomes varies, with a majority expressing a lack of confidence. Participants identify "Design and build" as the procurement option associated with the highest level of uncertainty. Correlation analysis revealed that larger projects tended to opt for different procurement methods. Participants often faced changes in project scope, budget, and timelines due to procurement, emphasizing the importance of risk management. This study's findings aligned with broader research, emphasizing early risk identification, robust project planning, technology use, risk allocation, contingency planning, regular review, historical analysis, and early issue detection as key factors for effective risk management in construction projects.

Keywords : Risk Management, Procurement Options, Construction Industry, Procurement Methods, Risk Identification, Risk Assessment, Risk Mitigation, Construction Projects.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe