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.
