Influence of Planning Tools on the Performance of a Disaster Management Project in Rwanda. A Case of Strengthening National and Local Disaster Risk Management Capacity, Resilience and Enhancing Preparedness and Early Warning System Project in Musanze District
DOI:
https://doi.org/10.53819/81018102t2309Abstract
The objective of the study was to find out the influence of planning tools on performance of disaster management project. The specific objectives are to find out the influence of Gantt Chart and Work Break Structure (WBS), LogFrame, Problem, Critical Path method and objective tree analysis on performance of Strengthening National and Local Disaster Risk Management Capacity, Resilience and Enhancing Preparedness and Early Warning System project in Musanze District. The population of the study was 160 including 5 employees (staff) at headquarter, 5 staff at field at district and sector and 150 direct beneficiaries and in same time implementers/workers of the project. No sampling inquired, rather the census inquiry method used as the population of the study found to be small, and the researcher decided gathered data from every single individual or unit within the target population, without using any sampling techniques Data collected through structured questionnaires and interviews. Collected data analyzed using qualitative and quantitative techniques. The collected research data checked for any errors and omissions that coded, defined and then entered into Statistical Package for Social Science (SPSS Version 24) for analyse. The R Square value is 0.664 means that 66.4% of the variability in project performance accounted for by the variations in the combined effects of Critical Path Method, Problem and Objective Tree, Log Frame, and Gantt Chart and WBS. The results on LogFrame shows unstandardized coefficient β=0.317, p-value of 0.000 indicates that this effect is statistically significant. Gantt Chart and WBS shows unstandardized coefficient β=0.545, p-value of 0.000 indicates that this effect is statistically significant. Problem and Objective Tree shows unstandardized coefficient β=0.393, p-value of 0.020 indicates that this effect is statistically significant. Critical Path Method shows unstandardized coefficient β=0.393, p-value of 0.000 indicates that this effect is statistically significant. Project teams should adopt the Critical Path Method (CPM) during project scheduling. This technique helps in identifying critical tasks and their dependencies, resulting in streamlined workflows and timely project completion.
Key words: Planning tools, Gantt chart and Work Break Structure, LogFrame, Problem, Critical Path method, Performance of disaster management project.
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