Examining the Influence Mechanism of Customer Perceived Food Authenticity and Loyalty in the Ethnic Restaurant: Cultural Identity as a Moderation
Bibliographic record
Abstract
The paper examines the structural relationships of customers’ authenticity perception on satisfaction and loyalty in the ethnic restaurant, cultural identity as moderation. A survey was conducted and the structural equation modeling analysis method was adopted. The research displays the following results: the perception of authenticity has significant direct impact on satisfaction and loyalty. The perception of authenticity has indirect impact on loyalty through satisfaction as well. And the directly effect on destination is more significant than indirect effect. Cultural identity has moderation between perceived authenticity and satisfaction. In order to realize the sustainable development of the ethnic restaurants, this paper put forward some suggestions: grasp the dimension of customers’ perception of authenticity and improve the satisfaction and loyalty of ethnic restaurants; maintain the authenticity, realize the cross - local operation of ethnic restaurants; highlight the sense of cultural identity and strengthen the “taste of hometown” in ethnic restaurants.
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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 | 0.001 | 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 | 0.000 |
| 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".