The Influence of Service Quality and Food Quality Towards Customer Fulfillment and Revisit Intention
Bibliographic record
Abstract
The intensely competitive environment existing in the restaurant sector makes it vital for firms to achieve customer satisfaction in order to survive in the long term. Obtaining customer satisfaction means that they become an effective and efficient communication resource, at no cost to the firm. Prominent among the factors that determine the levels of customer satisfaction in the food and beverage contexts are service quality and product quality. Nowadays, Chinese cuisine is becoming more attractive and accepted worldwide. Due to large population of Chinese Muslims in Malaysia, restaurants catered or owned by Chinese Muslims are now increasing and cater to all races in Malaysia. Therefore, the objective of the study is to identify the relationship between service quality and product quality towards customer satisfaction and examine revisit intentions of 9 Chinese Muslim restaurants in Shah Alam, Malaysia. The questionnaire was tested for reliability before being used. Correlation and regression analysis were employed to investigate the relationship between the service and product (food), customer satisfaction and revisit intentions to these restaurants. The findings of this study indicate that service quality and food quality have a significant relationship on customer satisfaction and thus have a significant relationship towards revisit intention. In conclusion, it was found that all customers were satisfied with these restaurants and willing to recommend Chinese Muslim restaurants to their relatives and friends and they were also willing to revisit this type of restaurant in the future.
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 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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".