DETERMINANTS OF EMPLOYEE TURNOVER IN THE SELECTED KENYAN PUBLIC UNIVERSITIES
Abstract
The main objective of the study was to determine the determinants of employee turnover in the selected Kenyan public universities. The study was carried out in three selected Kenyan public universities of Masinde Muliro University, Maseno University and Kibabii University. The study targeted a total population of 2274 correspondents comprising of teaching and non-teaching staff. The study employed descriptive research design where stratified random sampling was used to group the universities and purposive sampling used to identify the correspondence with the required information. To avoid biasness, random sampling was used to identify the sample. A sample of 340 correspondence obtained using Yamane’s formula. Pilot study was carried out in Mt. Kenya University where a valid measure of 0.5 spearman correlation coefficient was acceptable as a valid measure and 0.7 Cronbach’s alpha value was accepted as reliable value. Questionnaires and interviews were the main instruments of data collection. The data was analyzed using SPSS where descriptive statistics of frequencies, charts, percentages and means and inferential statistics of chi-square and regression analysis where the null hypothesis was tested at 5% level of significance. The results showed that for every unit increase in job satisfaction there was a corresponding increase in employee turnover by 1.070, work environment, which was important in predicting of Employee turnover as indicated by significance value=0.000 which was less than 0.05 level of significance (p=0.000<0.05). For every unit increase in work flexibility there was a corresponding increase in employee turnover by 0.803. The findings of the study would help Public University management board and the Government in managing employee turnover in public universities and Human resource practitioners in identifying and implementing better terms in public universities.
Key Words: Job Satisfaction, Working Environment, Supervisory Support, Work Flexibility, Employee Turnover
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