EMPLOYEE RECOGNITION AND ENGAGEMENT: PERFORMANCE INDICATORS FOR JOB SATISFACTION AMONG ACADEMIC STAFF OF FEDERAL UNIVERISTIES IN NORTH CENTRAL, NIGERIA

In this era of global changes, organizations that implement structured recognition programs often experience higher levels of employee engagement and reduced turnover. Therefore, the purpose of this study was to look at how employee recognition and engagement affect the job satisfaction of Federal Universities in North Central Nigeria. The specific objectives are to: (i) examine the extent to which employee recognition affect job satisfaction of selected Federal Universities in North-Central, Nigeria (ii) determine the effect of employee engagement on attitude to work of selected Federal Universities in North-Central, Nigeria. The study adopted cross sectional survey design. Structured questionnaire was used to collect data from the respondents. Six (6) Federal Universities were selected across the North-Central, Nigeria. A sample of 374 academic staff of the selected Universities were selected from a population of 13,708 using Krejcie and Morgan sample size determination formula. Simple random sampling technique was used for the study. Data collected were analysed using descriptive statistics and multiple regression analysis at 0.05% significant level. The findings of the study were that: Employee recognition has significant effect on job satisfaction: (Performance based promotion/Awards) ? = 0.310, t = 4.101, p = 0.000 and (Welfare package) ? = 0.259, t = 3.522, p = 0.001; Employee engagement has a significant effect on attitude to work: (Role engagement) ? = 0.484, t = 6.571, p = 0.000 and (Task engagement) ? = 0.187, t = 3.054, p = 0.003;The study concluded that employee recognition and engagement can immensely improve job satisfaction and attitude to work among the academic staff of the selected Universities in North-Central, Nigeria. The study therefore, recommended that universities should provide welfare package, regulation promotion of staff and continuous learning process platforms to improve the performance of the academic staff.

0 18 May, 2025

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