EFFECT OF PROJECT SCHEDULING ON PERFORMANCE OF INFRASTRUCTURE PROJECTS IN RWANDA A CASE STUDY OF KIGALI INFRASTRUCTURE PROJECT
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Abstract
This study investigates the relationship between project schedule management practices and the performance of Kigali infrastructure project in Rwanda. Specifically, the study focused on tasks dependence mapping, project tasks definition, scheduling procedures communication and project resourcing planning on performance of construction projects in Rwanda. The study focused on a target demographic consisting of 314 engineers employed at KIP who specialize in road construction. The collection of primary data was facilitated by the administration of questionnaires. The test-retest methodology was utilized in order to ascertain the reliability of the measurements. The Cronbach's coefficient was employed to evaluate the reliability of the instruments. Primary data was collected using a structured questionnaire, and descriptive statistics were employed to evaluate the data. Descriptive statistical tests comprise several measurements, including percentages, frequencies, and counts, which are used to summarize and describe data. On the other hand, inferential statistical tests involve the application of multiple regression. The results show that Project Resourcing Planning has the strongest positive relationship with project performance (B = 0.472, Beta = 0.548), followed by Project Tasks Definition (B = 0.228, Beta = 0.266) and Task’s Dependence Mapping (B = 0.184, Beta = 0.213). In contrast, Scheduling Procedures Communication has a negative relationship with project performance (B = -0.132, Beta = -0.136), indicating that poor communication in scheduling negatively affects project outcomes. In conclusion, the study reveals that task dependence mapping, project tasks definition, scheduling procedures communication, and project resourcing planning significantly influence road construction project performance, with resourcing planning having the strongest positive impact. It is recommended that project managers prioritize improving resource planning and task definition while addressing communication challenges in scheduling to enhance overall project outcomes. Future studies should explore the integration of advanced technologies like AI in scheduling and resourcing.
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References
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