The Relationship Between Perceived Human Resource Management Practices and Turnover-Intention: The Mediating Role of Organizational Attractiveness
Bibliographic record
Abstract
This study examines whether employees’ attraction to the organisation mediates the relationship between their perceptions of human resource management (HRM) practices (as a bundle) and their turnover intentions. Hypotheses were developed based on the propositions of social exchange theory, findings of previous research and theory of reasoned action. Survey data were collected from 297 individuals who work in organisations operating in the Hashemite Kingdom of Jordan. Subsequently, the proposed relations were tested. It was found that: 1) perceived HRM practices is negatively and significantly related to turnover-intention; 2) perceived HRM practices is positively and significantly related to organisational attractiveness; and 3) organisational attractiveness is negatively and significantly related to turnover intention and partially mediates the negative relationship between perceived HRM practices and turnover intention. The implications of these findings for line managers and HR practitioners are also discussed in addition to future research directions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".