The effectiveness of human resource management practices on increasing organizational performance and the mediating effect of employee engagement
Bibliographic record
Abstract
Enhancing employee loyalty to the company is essential to maximize corporate ability and achieve respective goals, as employees are the most valuable resource. Hence, managing human resources in organizations is key to achieving contemporary business success. The current study aims to assess the impact of human resource management practices (HRM) on organizational performance with employee engagement as a potential mediator. This study was conducted on Jordanian tourism projects. A total of 300 questionnaires were distributed with 237 returned. The data were analyzed through the partial least squares (PLS) software. Resultantly, performance appraisal and employee engagement significantly and positively impacted organizational performance. Recruitment and selection, training and development, compensation, and performance appraisal also significantly and positively impacted employee engagement. Employee engagement significantly mediated the impact of performance appraisal on recruitment, selection, and compensation with organizational performance.
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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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".