Factors Influencing Visitor Satisfaction and Revisit Intention in Lombok Tourism: The Role of Holistic Experience, Experience Quality, and Vivid Memory
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Lombok Tourism, known for its natural panoramas, protected forests, white sandy beaches, and green rice fields, offers substantial potential as a natural tourist destination.This study aims to examine the influence of Holistic Experience, Experience Quality, Vivid Memory, Visitor Satisfaction, and "Wow" Tourism as mediating factors for revisit intention in Lombok's tourism villages.This research employs a quantitative approach with a survey method.The sample consisted of 200 respondents, selected using purposive sampling, with the criteria being tourists who have visited Lombok at least once in the past year.Data analysis was conducted using Partial Least Squares Structural Equation Modeling (PLS-SEM).The results revealed that Holistic Experience and Experience Quality positively and significantly influence Visitor Satisfaction and "wow" tourism, serving as mediators for revisit intention.However, one of the hypotheses -that Vivid Memory significantly impacts Visitor Satisfaction -was not supported.This suggests that further research is necessary to identify the elements influencing tourist satisfaction and revisit intention in the context of tourism.The findings from this survey can be utilized by hotel authorities, travel agencies, and the Lombok tourism department to enhance customer satisfaction and provide remarkable experiences for travelers.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 it