The Role of Internal Customer in Improving the Quality of Hotel Services in Jordan: A Case Study of the Marriott International Hotel in Amman
Bibliographic record
Abstract
The present study aims to examine the role of internal customer in improving the quality of hotel services in order to provide distinguished and high-quality hotel services seeking to gain the satisfaction of the hotel customers in the light of local and international competition. This study also focused on the internal customer represented by hotel staff from various levels of employment through a set of independent variables such as selection, training, motivation and participation in decision making for improving the quality of hotel services. The sample of this study includes all directors (13) and employees (44) from different parts of the Marriott International Hotel in Amman. The study instrument was designed as a questionnaire for collecting data which consisted of (35) paragraphs according to five- dimensional scale of Likert. In addition, this study used Statistical Package for the Social Sciences (SPSS) to test the hypotheses. The most important findings and recommendations of the present study were that the management officials of the Marriott International Hotel in Amman should develop their knowledge and skills in terms of interest in the internal customers and gain a future vision to determine their needs of human resources and that there is a significant positive relationship between the role of internal customer and the improvement of the quality of hotel services.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".