The Quality of the Service, Superior Value Generator in the Restaurant Sector
Bibliographic record
Abstract
The purpose of this study is to analyze the effects of quality service on the image and the reputation obtained in restaurants. We also analyze the effect that the business image has on the reputation of restaurants. Finally, we want to discover the mediation effect of the image between the quality service and the reputation of the restaurants. This research is based on a sample of 202 consumers of five restaurants (franchise type) in the city of Guaymas Sonora, Mexico. The data collection was conducted during the months of March to June 2016. The estimates of the relationships (hypothesis) have been tested through the System of Structural Equations based on the variance with the Partial Least Squares technique. The results show that quality in the service has a strong influence on the image of restaurants. In addition, we found that the image of the business significantly influences the reputation of restaurants. However, the service quality does not have significant effects on business reputation. We have also found that the business image is a variable that contributes to a greater significant effect between business reputation and service quality. Research contributes to the development of the literature on consumer behavior and service marketing.
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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 | 0.004 |
| 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) | 0.003 | 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".