MST-Department of Management Science
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Browsing MST-Department of Management Science by Author "Ali,Abdishakur Mohamed"
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Item Risk Mitigation Practices and Performance of Road Construction Projects in Garissa County, Kenya(Kenyatta University, 2024-04) Ali,Abdishakur MohamedRoad construction projects are key pillars to achieve Vision 2030 and form essential components of the economic growth of the country. The study focused on the effects of risk mitigation practices on performance of road construction projects in Garissa County, Kenya. Though there exist studies that have found risk mitigation ideal and brings efficiency, this study looks deeper into the effect of such on roadway building and construction jobs which is the niche regarding previous studies. The gap between performance of road construction projects with a success rate of 20.8 % and a failure of 70.2% further brought out the gap to be filled. The specific objectives of the study included to examine the effect of risk identification on performance of road construction projects in Garrisa County, Kenya, to establish the effect of risk evaluation on performance of road construction projects in Garrisa Count, Kenya, to determine the effect of risk handling on performance of road construction projects in Garrisa Count, Kenya, to examine the effect of risk control on performance of road construction projects in Garrisa County, Kenya. The study was grounded on the Contingency Theory Modern Portfolio Theory, Prospect Theory, Systems Theory, and Theory of Triple Constraints. The study intended to use descriptive research design and targeted 8 road construction projects within Garissa County comprising of 14 road engineers, 4 road supervisors, 8 road inspectors, 12 road surveyors and 146 contractors. The study sample size was 145 respondents as achieved by Slovin sample size determination formular. The study adopted a stratified random sampling technique to determine a sample size distribution for the respondents. The researcher administered questionnaire as the data collection tool for primary data collection. The data collection instrument was pilot tested to confirm whether it was valid and reliable for data collection before carrying out the actual study. The study collected both qualitative and quantitative data. The qualitative data was subjected to thematic analysis while descriptive and inferential analysis was used to analyze the quantitative data. The study carried out diagnostic tests before inferential analysis to fit the conditions, assumptions and expected models. The study findings indicated that there existed strong positive relationship between the indepedent variables and depedent variable (performance of road projects in Garissa County, Kenya) as shown by R value (0.895). The coefficient of determination (R2 ) was 0.801. It showed that the independent variables (risk identification, risk evaluation, risk monitoring & control, risk handling) in the study were able to explain 80.10% variation in the performance of road projects in Garissa County. It was concluded that there is a significant relationship between risk mitigation practices (risk identification, evaluation, handling and control) and performance of road construction projects in Garrisa Count, Kenya. The study recommends that management in road projects should increase level of project risk identification as it enhances the risk mitigation activities on each significant risk. Project risk management should become part of the culture in project management activity and routine component in any project plan and review activity in the road projects.