Bibliographic record
Abstract
This study aims to investigate the relationship among sport experiential quality, club image, spectator satisfaction, subjective well-being, and spectator loyalty in the context of the Indonesian professional soccer industry.In addition, this study determines the mediating role of club image, spectator satisfaction, and subjective well-being in the relationship between sport experiential quality and spectator loyalty.To answer the research objectives, this study employed an explanatory research approach.Self-administered questionnaire was distributed among 250 samples recruited from several professional soccer matches in East-Java Province during Indonesia Soccer League (ISL) 2019.Data were analyzed by Partial Least Squares (PLS) technique.The results indicate that sport experiential quality did not have any significant direct effect on spectator loyalty.However, spectator experiential quality significantly affected club image, spectator satisfaction, and subjective well-being.While spectator experiential quality did not have a direct effect on spectator loyalty, the results also show that club image, subjective well-being, and spectator satisfaction had significant positive effects on spectator loyalty.Apart from the direct effect, this study indicate that subjective well-being, club image, and spectator satisfaction mediated the effect of spectator experiential quality on spectator loyalty.
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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 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".