Determining the Brand Loyalty of Health Tourism of Ranong Province, Thailand
Bibliographic record
Abstract
Objective of this study is to examine the brand loyalty of health tourism. For this purpose, the relationship between brand goodwill (BG), brand experience (BE), brand personality (BP), tourist brand trust and health tourism brand loyalty were examined. A survey was carried out and data were collected from the health tourists. Therefore, 300 questionnaires were distributed among the health tourists in Ranong city of Thailand. Partial Least Square (PLS) was used for data analysis. Results of the study highlighted that; BG, BEand BP have positive effect on brand loyalty. Better BG, BE and BP have the potential to enhance brand loyalty of health tourism. Therefore, increase in BG, brand experience, BP increases the brand loyalty. Finally, the tourist brand trust also has positive effect to enhance brand loyalty. Therefore, health tourism brand loyalty has four determinants; BG, brand experience, BP and tourist brand trust. This study is significant theoretical and practical implication for tourism management practitioners of Ranong city.
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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 | 0.000 | 0.001 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".