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Purpose: This study was conducted to investigate factors affecting the job embeddedness of workers in the manufacturing industry. Methods: The survey was conducted on 261 workers of the manufacturing industry in P city and Y city with the help of a structured self-report questionnaire, administered between June 10 and June 30, 2017. Data were analyzed using descriptive statistics, a t-test, ANOVA, a Scheffés test, Pearson’s correlation coefficients, and stepwise multiple regression. Results: There were significant differences in job embeddedness according to educational level, marital status, jobs and types of employment, satisfaction with salary, stress level, and the perceived health status of the subjects. There were significant positive correlations between role clarity of job demands (r=.45), leader member exchange (r=.48), recovery experience from job stress (r=.27), and job embeddedness. From the multiple regression analysis, the most significant factors affecting job embeddedness were found to be leader member exchange (β=.43), recovery experience from job stress (β=.22), and job demand (β=.15). These variables explained 35.0% of the total variance in job embeddedness. Conclusion: In order to increase job embeddedness of workers in the manufacturing industry, it is necessary to prepare measures to increase job demand, leader member exchange, and recovery experience from job stress.