Green Human Resource Management and Environmental Innovativeness
Bibliographic record
Abstract
Drawing upon the resource-based view and the situated learning theory, this study examined the effect of green human resource management (HRM) practices on the firm environmental innovativeness. The moderating role of organizational innovative culture on the relationship between green HRM and firm environmental innovativeness was also assessed. A survey of 212 furniture manufacturing companies in Malaysia was analyzed using structural equation modeling. Results from the data analysis suggest that green HRM practices are positively associated with the firm environmental innovativeness. The positive effect of green training and green compensation on firm environmental innovativeness was found to be increased by moderating the role of organizational innovative culture. The present study clarifies key green HRM practices that can assist the environmental innovativeness in Malaysian furniture manufacturing firms and advances related research by proposing and examining an overarching model to enlighten such synergies and the moderating role of organizational innovative culture. The findings further extend the scope of green HRM research to promote innovation in the manufacturing firms. The theoretical and practical implications of green HRM are presented to enhance the environmental innovativeness.
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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 | 0.000 | 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 | 0.000 | 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".