Project Risk Management, Stakeholder Participation, and Performance of Construction Projects in Mukono District.
| dc.contributor.author | Dhamuzungu Kange Hope | |
| dc.date.accessioned | 2026-06-16T07:20:23Z | |
| dc.date.available | 2026-06-16T07:20:23Z | |
| dc.date.issued | 2025-12-02 | |
| dc.description | This is a masters thesis | |
| dc.description.abstract | The research examined the relationships among project risk management, stakeholder participation, and performance of construction projects in Mukono district, aiming specifically to determine the individual and combined effects of Project risk management and stakeholder participation on the performance of construction projects. Grounded in stakeholder theory, the research employed a quantitative cross-sectional design and selected a sample size of 196 from a population of (400) construction projects using Krejcie and Morgan table for sample size calculation (1970) and employed simple random sampling to choose the heterogeneous construction projects. Data was analyzed using SPSS version 23, with validity and reliability confirmed by the content validity index and Cronbach's alpha coefficient. Descriptive statistics, including means and standard deviations, described the data, while correlational analysis was used to test the strength of the relationships between variables, and regression analysis was used to assess the impact of predictor factors on the outcome variable. The results revealed that Project Risk Management and Stakeholder Participation together explain 38.5% of the variation in the performance of construction projects (Adjusted R² = 0.380), with the remaining 61.5% due to other factors. Project risk management is a strong and significant predictor of construction project performance while stakeholder participation has a smaller, positive but marginally significant effect on project performance. The study recommends that construction projects should assign clear budget, designate a risk owner, allocate contingency budgets, and maintain a risk register. They should improve early risk identification, integrate risk management into procurement, contracts, and stakeholder engagement, and use model findings for guidance. They should benchmark projects, expand data collection, and adopt a portfolio approach to address both measured and unmeasured risk. | |
| dc.description.sponsorship | Dr. Sylvia Mamjeri Aarakit, Makerere University Business School. & Ms. Leah Nakabiri, Makerere University Business School. | |
| dc.identifier.citation | Dhamuzungu, K. H. (2025) Project Risk Management, Stakeholder Participation, and Performance of Construction Projects in Mukono District. Makerere University Business School. | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12282/5592 | |
| dc.language.iso | en | |
| dc.publisher | Makerere University Business School | |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 United States | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/us/ | |
| dc.title | Project Risk Management, Stakeholder Participation, and Performance of Construction Projects in Mukono District. | |
| dc.type | Thesis |