Factors Affecting Employees‟ Performance in Public Sectors In the Case of Meta Robi District, West Shoa Zone, OromiaNational Regional State.

Abstract

The aim of the research was to examine factors affecting employee job performance in the public sector in the Meta Robi District, West Shoa Zone, Oromia National Region. The research employed descriptive and explanatory research designs with a quantitative approach and a structured questionnaire for civil servants. A simple random sampling method was employed to select the sample from each stratum or office to make the sample more representative of the population, and from 202 employees, 134 samples were selected and 134 samples were responded to the study. The primary source of data was gathered in the form of questionnaires with Likert-type scales. The secondary sources of data that the researcher used relevant literature, human resources manuals, appropriate journals, magazines, articles, and other similar studies conducted. Descriptive and inferential statistics were used to analyze the empirical data. The independent variables are motivation, training, leadership, organization culture, working environment, individual characteristics, monitoring, and evaluation, whereas the dependent variable is employees’ performance. The mean, frequency, and percentile of the dependent and independent variables were computed and interpreted. The finding results indicated that the mean values for training (mean = 3.42), motivation (mean = 3.19), leadership (mean = 3.83), organizational culture (mean = 3.63), working environment (mean = 3.07), individual characteristics (mean = 3.47), monitoring and evaluation (mean = 3.78) and employee performance (mean = 3.67), were considered moderate and indicates that there was no limitation in implementing these practices in the public service sectors in the study area. The correlation result indicated that there was a positive relationship between all of the independent variables with dependent variable.The result of multiple linear regressions analysis show all independent factors was accepted the alternative hypothesis at 5% level of significance.The regression model's mean square was 21.300, with a residual mean square of.115 and the F-Statistics value of 185.302 is significant at P<0.00, indicating a 0.01% chance of alternative hypotheses were true.Squared multiple correlation coefficient result was (R)2 of 0.91: which indicates that 91.1% of the variation in employee performance was explained by all independent variables in study area, while 8.9% of the variation in overall factors affecting employees' performance cannot be explained by these variables.