Employee perceptions of HRM practices and their turnover intentions: evidence from South Korea
Bibliographic record
Abstract
Purpose The study sought to provide insight into the affective mechanisms that underlie the relationship between HRM practices and employee turnover intentions from the perspective of Korean employees. The study drew on social exchange theory and used compensation satisfaction, perceived job security and job autonomy to explain how perceptions of HRM practices affect employee turnover intentions. Design/methodology/approach The data were generated from a survey questionnaire administered to both white-collar and knowledge workers in different organizations in the Seoul Capital Area. The final sample consisted of 310 full-time employees. Findings The results show that compensation satisfaction and perceived job security have significant indirect negative effects on employees' intentions to leave their organization in the Korean context, which supports previous studies in Western contexts. However, the indirect effects of job autonomy on employee turnover intention were not significant in the current study. Originality/value This study continues the conversation about the important role HRM practices play in retaining valuable employees. This study offers a nuanced view of the relationship between HRM practices and employee turnover in a distinctive research setting. This study also provides realistic and practical suggestions on HRM so that organizations in Korea are able to implement HRM practices that help them retain competent employees.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".