Abstract:
The study evaluated how the employee well-being at Tanzanian higher education
institutions impacted the performance of the employees. Three predictors that were
evaluated using each worker's performance as the dependent variable served as the
study's guidelines. Work-life balance, financial stability, and job security are among the
predictors. The adopted quantitative research approach with a cross-sectional study
design. The study involved a total of 74 respondents from the selected higher-learning
institutions. Data collection was done using questionnaires and was analyzed by both,
descriptive statistics and inferential statistics using linear regression. The results
revealed that, that there was a significant positive relationship between job security and
individual workers' performance in higher learning institutions in Tanzania. The results of
the regression accounted for 52.4% of individual workers' performance F (1,73) = 117, p
= 0.00 these results were significant at p < 0.05 level. Also, the study found that there
was a significant positive relationship between financial and individual workers'
performance in higher learning institutions in Tanzania. The results of the linear
regression analysis accounted for 85.4% of individual workers' performance F (1,73) =
105, p = 0.00 and these results were significant at p < 0.05 level. Moreover, the results
indicated that there was a significant positive relationship between work-life balance and
individual workers' performance in higher learning institutions in Tanzania. Simple linear
regression analysis results accounted for 69.2% of individual workers' performance F
(1,73) = 129, p = 0.00, and these results were significant at p < 0.05 level. The study
recommended that higher learning institutions have to ensure job security, financial
security, and work-life balance because they all influence employee performance in
institutions. It was recommended that job security, financial security, and work-life
balance have a significant positive relationship with individual workers' performance.
