Job Satisfaction and Job Embeddedness as Predictors of Manufacturing Employee Turnover Intentions
Date of Conferral
Doctor of Business Administration (D.B.A.)
Unplanned and frequent employee turnover can result in significant costs to an organization. Grounded in Herzberg's two-factor theory, the purpose of this correlational study was to examine the relationship between employees' job satisfaction and their degree of job embeddedness, and their intent to leave the organization. In this study, 63 full-time Southeastern U.S. manufacturing employees completed surveys that included the Andrews and Withey's job satisfaction questionnaire, Crossley, Bennett, Jex, and Burnfield's global measurement of job embeddedness, and Mobley, Horner, and Hollingsworth's intent to stay scale. The results of the multiple regression analysis indicated the model was able to significantly predict employee turnover intention, F(2, 95) = 71.822, p < .001, R2 = .705. Both employee job satisfaction (t = -.703, p < .001) and employee job embeddedness (t = -.501, p < .001), were statistically significant predictors of turnover intent. These results indicate that satisfied and committed employees are less likely to plan to leave their employment. This research adds to the body of knowledge concerning what contributes to why people leave their jobs. Reduced employee turnover can financially benefit an organization and that in turn can have a positive social benefit on the community. More secure employees and companies with improved financial security can result in improved financial support to communities and help increase economic stability.
Skelton, Angie R., "Job Satisfaction and Job Embeddedness as Predictors of Manufacturing Employee Turnover Intentions" (2017). Walden Dissertations and Doctoral Studies. 4176.
Business Administration, Management, and Operations Commons, Management Sciences and Quantitative Methods Commons