Assessment of relationship between employee motivation and job satisfaction in commercial bank of Ethiopia jimma district

Abstract

The purpose of the study was to examine the relationship between employee motivations and job Satisfaction using Herzberg’s two-factor theory in Commercial Bank of Ethiopia Jimma District. The subjects of the study were 132 employees and they were selected by employing stratified sampling methods. Out of 132 participants selected for the study, only 120 valid questionnaires were collected and filled the properly representing 90% of the total sample. Data were collected by adapting Minnesota job satisfaction scales. The reliability of the adapted scales were tested and found to be reliable. The data were analyzed through descriptive analysis of motivator and hygiene factors variables by using tables and figures. Correlations were applied to test the relationship between job satisfaction and motivator factors. Further, the significance difference of demographic factors and job satisfaction were investigated and tested using ANOVA and T-test. From the seven Hygiene (extrinsic) factors that related to job satisfaction, the respondents agree on five factors. The most correlated Hygiene factor to overall motivation is security, the highest percentage of 94.2 followed by relationship with coworkers by 72.5 % and the employee was not satisfied at working condition and salary. From intrinsic factors the most important factor that related to job satisfaction level of employees came out to be Achievement by percentage of 67.5 followed by responsibility by 62.5% and the least important factor that less related to the satisfaction level of employees came out to be Personal growth, recognition and work itself which got the minimum percentage of 8.3, 10.8 and 35 respectively. The results of this study revealed that, there were no significant differences in job satisfaction in relation to gender, age, educational qualification, marital status and work experience (years of service). Therefore, the differences may be due to random sample variation.