Ecological Purchases Made by Managers in Hotel Industry. An Approach of the Main Determining Factors
Bibliographic record
Abstract
Lately, there has been an intensification of the concern for environmental protection and development of an ecological attitude and behaviour among the operators in tourism industry. Consequently, ecological purchases have become important components in establishing hotel environmental strategies and in the customers' consumption behaviour. Most of the researchers present this very attitude of the customers regarding the green products and their intention to buy them. The present research approaches ecological purchases from the hotel managers' perspective, by analysing the relationships among them, and the environmental attitude, environmental problems, and the benefits motivating the managers to make ecological purchases in 92 hotels in Romania. In this research we used the frequency analysis, scale reliability, and multiple linear regression analysis (the method of the least squares). The data were analysed with the help of STATA program, and the results support the research hypotheses, showing that the influence of the environmental attitude and of the economic benefits on ecological purchases is important. The results show a significant and positive relationship among the ecological purchases, the environmental attitude, and the associated benefits. In addition, the study identifies a negative relationship between the ecological purchases and the environmental concern. Furthermore, hotel classification has a negative influence on the ecological purchases made by their managers. The implications, limits, and future lines of research are also mentioned in this study.
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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 | 0.001 | 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".