How GHRM impacts employee OCBE: the role of emotions and value discrepancy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this study is to investigate the impact mechanism of green human resource management (GHRM) on employee organizational citizenship behavior for the environment (OCBE). The authors maintain that anticipated environmental pride and guilt serve as dual mediators on the relationship between GHRM and OCBE, while environmental value discrepancy between employees and coworkers of the employees serve as the moderator on this relationship. Design/methodology/approach For this study, 226 valid questionnaires were obtained from various industries (food, machinery, electronics, etc.) in China and a hierarchical regression analysis was performed. Findings The results revealed that GHRM exerts a direct influence on OCBE, as well as indirect effects through anticipated environmental emotions. Environmental value discrepancy moderates the relationship between GHRM and anticipated environmental emotions. Originality/value The contribution of this study is not only to investigate the emotional impact mechanism between GHRM and employee OCBE, but also to identify the boundary conditions for the effect of GHRM on employees’ anticipated environmental emotions. The authors' findings offer a new theoretical framework for future research on GHRM, as well as practical implications for researchers and managers in organizational environmental management.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it