The Effect of Project Management Tools on Success in Project Implementation; A Case of Business Development Fund (BDF)

The general objective of this project was to find the the effect of project management tools on success in project implementation. The specific objectives of the study were to assess the effect of risk management tools on success of projects implementation at the Business Development Fund in Rwanda, determine the effect of scheduling and planning tools on success of projects implementation at the Business Development Fund in Rwanda, evaluate the effect of communication and collaboration tools on success of projects implementation at the Business Development Fund in Rwanda and investigate the effect of resources management tools on success of projects implementation at the Business Development Fund in Rwanda. The population of the study 120 and the sample size calculated by Slovin's formula. The sample size was 92 people have project successes in BDF. Tools of data collection were questionnaire, interview and documentary. The study descriptive analysis for the examination of distributions of a single variable and correlation analysis, or regression analysis when it involves more than one variables. The Pearson correlation coefficient between Risk management tools and Success in project implementation is 0.759 (p<0.05). This indicates a strong positive correlation. The Pearson correlation coefficient between Scheduling and Planning tools and Success in project implementation is 0.732 (p<0.05), indicating a significant positive correlation. The Pearson correlation coefficient between Communication and Collaboration tools and Success in project implementation is 0.707 (p<0.05), signifying a strong positive correlation. The Pearson correlation coefficient between Resource management tools and Success in project implementation is 0.712 (p<0.05), representing a strong positive correlation. The results indicate The R Square value is 0.683. This value represents the proportion of variance in the dependent variable (Success in project implementation) that is explained by the combination of predictor variables. BDF and related Rwandan institution should Establish risk management teams, adopt modern project management software, prioritize communication tools, and invest in resource management tools to enhance project efficiency and success.