Experiential Consumption and Customer Satisfaction: Moderating Effects of Perceived Values
Bibliographic record
Abstract
<p>Perceived value has also been studied to investigate what consumers really want and how to reach their mind over the past decade. Marketers recently had made efforts to integrate the concept of perceived value into experiential marketing strategy. The key of perceived value is to understand not only how they satisfied with the product they purchased, but also how they felt the service they were involved in. The current study aimed to investigate the relationship between experiential consumption and customer satisfaction toward consumers in the resort hotel industry. Applying perceived value as a moderator, the study further examine the level of effect on the relationship between experiential consumption and customer satisfaction. Using purposive sampling method, data was collected from 378 subjects through the self-administrated questionnaire. The result indicated that all dimensions of experiential consumption had positive effect on customer satisfaction. Both dimensions of perceived value, in addition, showed positive effects on customer satisfaction. Perceived value was proven to have partially moderating effects on the relationship between experiential consumption and customer satisfaction. Suggestions and managerial implications were discussed in the study, and would provide contribution both to the body of knowledge in the filed of marketing management.</p>
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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 | 0.002 |
| 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 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".