Debtors’ Management, Water loss Management and Financial Performance of National Water and Sewerage Corporation in the Southwestern region of Uganda

Abstract

The study sought to establish the relationship between debtors’ management, water loss management and financial performance of NWSC in the South Western Region of Uganda. The study adopted across sectional and correlation quantitative design using 97 respondents that were drawn from a population of 130 employees. The sample size was determined using Krejcie and Morgan Tables (1970). The data were tested for reliability and validity, analyzed using SPSS version 21 and results presented based on the study objectives.The correlation coefficient analysis revealed positive and significant relationships between debtors’ management, water loss management and financial performance of NWSC which implies that when one variable is improved it leads to improvement of the other. Furthermore, the hierarchical regression analysis indicates that debtors’ management combined with water loss management have a greater predictive potential on the financial performance (Adj R2 of 0.380). However, it was further revealed that debtors’ management has a more direct effect on the financial performance based on the individual contribution (R Square Change 0.262). Therefore it’s worth recommending that the management of NWSC should train all her commercial and technical field staff to ensure that they have the required knowledge, skills and abilities in debtors and water loss management to ensure that the best quality management mental solutions are effectively and efficiently employed to improve on financial performance.The managers and staffshould build a strong relationship between the debtors and themselves by creating a strong trust and ensuring that clear and well explained procedures are maintained since this will increase on the compliance and it will turn improve on the financial position of the organization. There is need to conduct further study basing on a longitudinal design and a quantitative approach.