The Strategic Impact of Service Quality and Environmental Sustainability on Financial Performance: A Case Study of 5-Star Hotels in Athens
Bibliographic record
Abstract
This study explores the impact of guest satisfaction on the financial performance of 5-star hotels, with a focus on both service quality and environmental sustainability. The purpose of the research is to understand how improvements in key satisfaction dimensions influence hotel profitability, as measured by EBITDA, ROA, and ROE. Satisfaction was measured across SERVQAUL dimensions and the dimension of environmental sustainability. The data were analyzed using the Multicriteria Satisfaction Analysis (MUSA) method and linear regression models to determine the effect of satisfaction on financial performance. Results indicate that responsiveness is the most important factor for guests, while environmental sustainability ranks high in importance but shows lower satisfaction scores. The findings suggest that investing in both service quality and sustainability can significantly enhance a hotel’s financial returns. The study concludes that hotel managers should prioritize improvements in environmental sustainability and responsiveness to optimize guest satisfaction and financial 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 | 0.002 | 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 | 0.000 | 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".