Human resource management practices and person-organization fit towards nurses’ job satisfaction
Bibliographic record
Abstract
This empirical research aims to investigate the relationship between Human Resource Management (HRM) practices, Person-Organization (P-O) fit and Job Satisfaction (JS) from the nurses’ perspective working in Private Hospitals in Jordan. This study examines the individual effect of HRM practices i.e. Recruitment and Selection (RS); Training and Development (TD); and Performance Appraisal (PA) on P-O fit and JS. In addition, it also examines the mediating effect of P-O fit on the relationship between HRM practices and JS. Total of 274 responses were collected directly using structured questionnaire via convenience sampling technique. The result was analyzed with PLS-SEM. Findings indicate that RS and PA were found to have significant effect on P-O fit. TD did not have any significant effect on P-O fit. In addition, P-O fit also had significant effect on nurse’s JS. In terms of mediating effect, P-O fit only mediated the relationship between RS and PA toward JS. However, there was no mediation effect on the relationship between TD and JS. This study may provide an initial blueprint for further investigation of other theoretical nurses’ job satisfaction and turnover intention related models. Finally, the study findings work as evidence about the new realization among the Jordanian organizations about the importance of adaption the HRM practices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| 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".