Evaluating the Dimensions of Service Levels in Chain Hotels: From the Perspective of Top and Middle Managements (An Empirical Study in Jordan)
Bibliographic record
Abstract
The current study aimed at measuring the top and middle managements’ perceptions about the dimensions of the hotel service levels in ten chain hotels in Amman /Jordan. It also aimed to identify their characteristics, problems and challenges. The study’s sample consisted of ten chain hotels in Amman .Questioners distributed in (10) hotels to one hundred persons top and middle management, but just (65) questionnaires retrieved were valid to statistical analysis. The questionnaire covered four areas. The first area is represented in the core services of the hotel. As for the second, it is concerned in the supported services, whereas the third area is concerned with the hotel facilitated services. As for the fourth area, it is concerned with the augmented services. The study concluded that the aforementioned convenient sample hotels have an accepted level of perceptions about the dimensions of the hotel service levels and its characteristics and the challenges. That was attributed to the hotels’ capabilities to understand their activities and their complicated mechanisms. There are lack of information concerning the perceptions levels about some hotel mechanisms and activities which require specialized professional skills in the hotel industry. At the end of the current study, we suggested several recommendations and suggestions related to the nature of the marketing dimensions of hotel services which contribute in developing the hotel industry in Jordan.
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.
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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".