Factors Affecting Performance of Employees in Arua District Local Government Uganda

Abstract

This study sought to establish the relationship between the factors affecting employees and their performance NUSAF2 and NAADS in Arua District Local Government in Uganda. The study involved 83 employees dealing with 2 projects of NAADS and NUSAF2 who responded to questions in an interview guide. Quantitative data analysis was based on percentage and mean at the descriptive level while Pearson’s correlation coefficient was used to correlate the independent variable with the dependent variables performance, while qualitative data was analysed basing on the themes. Objective 1 was to examine the extent to which working conditions affect employee performance in Arua district local government. The results revealed that there was no significant correlation between working conditions and performance. The conclusion that working condition is negatively related to performance, hence the recommendation that the district should identify some other factors that could be considered to have affected employee’s performance. The second objective was to determine the extent to which supervision affects employee performance in Arua District Local Government revealed that there was a also a significant negative correlation between supervision and performance, the conclusion that lack of delegation, limited involvement in decision making, discourage staff to perform to their best to improve performance and hence the recommendation that the district should strengthen supervision systems and strategies. Lastly the the 3rd objective was to assess how communication affects employee performance in Arua District Local Government and results showed that there was also negative correlation between communication and performance, the conclusion that communication factor has no relationship with performance although the method used are not reliable and safe, it has no effect on staff performance and the recommendation that the district should set up specific information handling data base.