The role of brand love in mediating the effect of intensive distribution and social media promotion on brand loyalty and e-WOM
Bibliographic record
Abstract
This study aims to examine and explain the role of brand love in mediating the effect of intensive distribution and promotion of social media on brand loyalty and e-WOM. The population of this research are customers of minimarket franchise businesses in Bali. The sample size used was 200 people with purposive sampling method. The analytical technique used is Path Analysis using SEM-PLS. The results showed that the intensive distribution had a positive and significant effect on brand loyalty and brand love. Brand love is able to mediate the effect of intensive distribution on customer loyalty, brand and e-WOM and brand love are able to mediate the effect of social media promotion on brand loyalty and e-WOM. Therefore, it is important for the minimarket franchise business to pay more attention to intensive distribution and vigorously promote social media through various choices of the latest social media platforms.
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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 | 0.007 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".