Service Delivery and Drivers of Customer Satisfaction as Determinants of Public Relations of Food Establishments in Region XI
Bibliographic record
Abstract
This study sought to determine how service delivery and drivers of customer satisfaction influence public relations of food establishments in Region XI. Using the quantitative non-experimental utilizing descriptive-correlational design, study was conducted in the different areas of Region XI. Equal distribution method was utilized in which the researcher selected 50 establishments from the different parts of Region XI that equally represented each area of the region. Quota samples of approximately 10 questionnaires were collected for each dining establishment. This study used SERVQUAL to determine the level of service delivery along with other adopted questionnaires for the other variables. The study found out that the overall level of service delivery, customer satisfaction, and public relations of dining establishments in Region XI are all moderate. Moreover, it revealed that there is a significant relationship between service delivery and customer satisfaction and public relations in dining establishments of Region XI. Finally, the indicators tangibles, empathy and assurance of service delivery and the indicators end result, timeliness, information, staff competence; staff attitude and look and feel of customer satisfaction all predict public relations in the dining establishments in Region XI.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".