Date of Conferral
2022
Degree
Doctor of Business Administration (D.B.A.)
School
Business Administration
Advisor
Colleen Paeplow
Abstract
Leaders in the U.S. Federal Government face performance challenges due to disengaged employees and employees with low satisfaction. Leaders within the federal government need to understand the relationship between employee engagement, job satisfaction, and employee performance, as decreased employee performance can result in decreased productivity, increased turnover, and have negative financial implications. Grounded in Herzberg’s two-factor theory and Kahn’s engagement theory, the purpose of this quantitative correlational ex post facto study was to examine the relationship between employee engagement, job satisfaction, and employee performance within the federal government. Data from the 2019 Federal Employment Viewpoint Survey (n = 100) were analyzed using multiple regression analysis. The multiple linear regression analysis results indicated the model was able to significantly predict performance F(2,97) = 43.836, p < .001, R2 = .475. Employee engagement (t = 3.594, p < .001, β = .504) was the only statistically significant predictor. A key recommendation for leaders in the federal government to engage federal employees is to recognize employee achievements, create a work environment promoting psychological safety, provide employees with adequate resources, and have well-defined roles and responsibilities for employees while allowing them to exercise autonomy in their work processes. The implications for positive social change include the potential for cost savings, helping leaders in the federal government assess areas of improvement, creating a more productive environment for improved employee performance, and increasing employee retention and job satisfaction in the workforce.
Recommended Citation
Shellow, Alexis L., "The Relationship Between Employee Engagement, Job Satisfaction, And Employee Performance in The Federal Government" (2022). Walden Dissertations and Doctoral Studies. 13770.
https://scholarworks.waldenu.edu/dissertations/13770
