Determinants of Turnover Intention of Employees Among the Academic Staffs (The Case of Some Selected Ethiopian Universities)

Turnover intention is a potential risk that exists in all organization, despite of the type or its activities. The educational institution is one such organisation that comes under threat from this risk, when its employees and faculty members are exposed to thinking of leaving their jobs. Thus this study aimed at exploring the Determinants of Employees Turnover Intention among the Academic Staffs of Some Selected Ethiopian public Universities.The research was conducted with a mixed research approach coupled with descriptive and explanatory research design and cross sectional data collected for the year 2016/17 using a self administered questionnaire. A Binary Logistic Regression model was employed for analysis of the determinants of turnover intention. The descriptive statistics showed that the 36% of the academic staff were intended to leave their Universities in the fore- coming future whereas, the rest 64 % prefer to be stayed in their universities. The findings from the estimated general binary logistic regression model signified a moderate relationship between explanatory variables and the dependent variable. Age affirms a negative and however, a statistically insignificant result, year of experience revealed a different result than it was hypothesized. Female academic staff were 1.492 times more likely to have turnover intention than their counterparts, married academic staffs were 2.088 times less likely to leave their university than their counter parts and academic staffs with a perceived lower salary were 1.231 times more likely intended to leave their Universities. Hence, the researchers recommended the case universities to Provide appropriate and adequate resources for conducting daily operation such as teaching and research, appropriate staffing and proper internal placement of staff, More over Empower personnel through workshops and training, Provide employees with clear job descriptions and a career path and Provide adequate support of employees as well as adequate supervision contribute a lot in reducing intention to leave in the selected University. Keywords: turnover, turn over intention, Binary logistics, academic staff, Determinants