Resilience for Sustainability: The Synergistic Role of Green Human Resources Management, Circular Economy, and Green Organizational Culture in the Hotel Industry
Bibliographic record
Abstract
This research explores the extent to which Green Human Resource Management (GHRM) practices in the Egyptian hotel sector contribute to the adoption of Circular Economy (CE) practices and, eventually, organizational resilience. Using a sample of 402 employees from green-certified Egyptian hotels, the current study applied Partial Least Squares Structural Equation Modeling (PLS-SEM) on the data collected. The results show the positive effect of GHRM on the adoption of a circular economy that significantly enhances both internal and external organizational resilience. In addition, high Green Organizational Culture (GOC) strengthens the positive relationship of GHRM with the adoption of a circular economy. From this work, some empirical evidence is provided to show that circular economy practices can play a partial mediating role between GHRM and organizational resilience. These findings also present valuable insights for hotel managers and policymakers on how to achieve sustainability and resilience by means of integrated GHRM and circular economy strategies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".