THE EFFECT OF JOB SATISFACTION ON EMPLOYEE INTENT TO LEAVE AND ABSENTEEISM IN THE CASE OF HILTON ADDIS ABABA

Abstract

This study about the effect of job satisfaction factors on employee intent to leave and absenteeism in Hilton Addis Ababa. Questions were asked related to job satisfaction factors and employee intent to leave and absenteeism. The study employed quantitative and qualitative research design methods. Stratified and simple random sampling techniques were used to select the sample size from the population. Among a total of 652 permanent employees currently working, 111 employees were selected as the sample of the study. In order to collect primary data, questionnaires were distributed to 111 employees and 98 respondents filled and replied, in addition to questionnaires, interviews were conducted with human resource managers to gather data. Data collected through questionnaire were analyzed using SPSS Window 20.0 version. The tests involved are frequency distribution, descriptive statistics, Pearson Correlation Coefficient, ANOVA and Regression. The result of the descriptive statistics indicated that the majority of employees are dissatisfied with pay, promotion and fairness. The correlation result showed that all the job satisfaction factors except coworkers have a negative relationship with intent to leave and absenteeism. As per the result of regression analysis satisfaction with pay and fairness are negatively related with employee intent to leave and absenteeism; this two job satisfaction factors has a significant impact on the employee intent to leave and absenteeism. Based on the findings result, it is advisable that the organizations have to revise its compensation or monetary reward or payment scale in accordance with labor market, living expenses of the societies and comparing with similar industries by including competitive pay scale, seeing other Hilton hotels benefit packages and the management of the hotel should fairly treat all employees and should implement equal and fair employee handling mechanisms.