Discussing the Relationships between Consumer Experiential Value, Celebrity Endorsement and Brand Resonance – Case Study of the STAYREAL Brand
Bibliographic record
Abstract
Based on the perspective of concert experience marketing, this research explores whether consumers resonate with the brand STAYREAL through celebrity endorsements while using the P-O-X theory as the research’s structure. Research subjects are audiences who have participated in the Mayday concerts. Mall-intercepts method with intentional sampling is used and questionnaires were distributed at the “Super Slippa– part 9” and “The Great Nobody” of 831 rock band in 2018 at the Taipei Arena. 422 valid questionnaires were returned from the 469 distributed. Data were analyzed using the statistical software SPSS19.0 and it was found that: 1. Experience value has a significant positive impact on celebrity endorsements; 2. Experience value has a significant positive impact on brand resonance. 3. Celebrity endorsements have a significant positive impact on brand resonance; 4. Celebrity endorsements have a partial intermediary effect between experience value and brand resonance, which proves that P-O-X is in a balanced state. In order to reach a stage of consumers’ resonance with the brand, future research can examine the utility factors such as brand attributes in price, design, fabric, comfort, color, etc. at the same time.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".