Strategy for the marketing of the premium service of the Playa Pesquero resort hotel
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
Marketing luxury hotels is relevant to meet the growing demands of customers, in this, the Premium services are essential to maintain the planned revenue. The research defined as scientific problem the following: The insufficient commercialization from the strategic of the Premium service, limits the income of this service in the hotel Playa Pesquero. The general objective was to: Develop a strategy for the marketing of the Premium service, which contributes to increasing the income of this service in the Playa Pesquero hotel. Several theoretical methods were used, such as analysis and synthesis, inductivedeductive, structural systemic, and among the empirical ones: scientific observation, interview, review of documents and the criterion of specialists. The strategy for marketing the Premium service was structured in four essential components: objectives, phases, tasks, and techniques to be employed. The partial application of the strategy has achieved among its results the following: design of the profile of target markets: Canada, United Kingdom, Germany and Italy; the updating of strategic objectives; the design of the product, price, distribution and promotion strategies; and an action plan based on the strategies outlined, all of which contributed to the increase of the total revenues of the Premium service.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.001 | 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 it