Human Capital as a Mediating Factor in the Effects of Green Human Resource Management Practices on Organizational Performance
Bibliographic record
Abstract
The goal of this study is to determine the effect of sustainable human resource management (SHRM) on organizational performance (OP) and human capital (HC). 275 employees from various public organizations in Jordan were surveyed. SmartPLS 3 was employed to evaluate the data and test the hypotheses. Herein, it discovered a substantial association between GHRM (green rewards and compensation, as well as green training and development) and OP, as well as a significant relationship between GHRM and HC, as well as a significant relationship between HC and OP. Additionally, HC plays a crucial role in mediating the link between GHRM and OP. The study underlines the importance of introducing GHRM practices into the workplace in order to promote positive green behavior among employees, hence increasing the firm's operating profit.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| 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".