| Abstract: | This study was designed to identify the determinant factors on Employee turnover rate
intentions: the case of Abyssinia Bank S.C, Addis Ababa, Ethiopia. To this purpose the
researcher has studied the effect of determinant factors on Employee turnover rate. Both
descriptive and explanatory research design was employed by using quantitative research
approach to identify the determinants factors with related to job sharing, benefits package,
work-relate anxiety, career development opportunity on employee turnover rate. The
questionnaires were analyzed by using statistical software program namely Statistical Package
for Social Science (SPSS version 27). A total of 152questionnaires were handled by the
respondents, and 140 of them completed and returned their questionnaires. The study's findings
were presented in inference and descriptive analysis, and the result of the descriptive statistics
revealed that the impact of determinant factors on Employee turnover rates at a good level, with
a mean value of 3.34 on a 5-point scale. The finding suggests that work-relate anxiety factors
have a positive and significant association effect with employee turnover rate. Whereas,
Determinants, such as job sharing, benefits package, and career development opportunity
factors have a negative and significant effect on employee turnover rate. In addition, the result of
the multiple linear regression output signals that the determinants factors have affected the
employee turnover rate with different effect level such as every unite increase in work-relate
anxiety dimension lead to enhance the employee turnover rate . On the other hand every unite
increase in job sharing, benefits package, and career development opportunity lags the employee
turnover rate by15.9%, 14.1 and 37.3% respectively. Based on the findings of the study, the
researcher recommended that the Abyssinia bank S.C establishes a routine for conducting
employee engagement surveys to gauge job satisfaction, assess the effectiveness of current
strategies, and identify areas for improvement |
