The role of social media marketing and brand equity on e-WOM: Evidence from Indonesia
Bibliographic record
Abstract
This study investigated the impact of social media marketing on Garuda Indonesia's airline customers' brand equity (awareness, image, and loyalty) and online word-of-mouth during the epidemic (E-WOM). In part of the study, 100 frequent Instagram users and passengers on Garuda Indonesia aircraft were questioned or given questionnaires. The data was processed and analyzed by SEM-PLS and the SmartPLS 3.0 software. The findings of the study indicate that social media marketing increases brand recognition, brand image, and brand loyalty. Brand loyalty or reputation has one significant impact on e-WOM as well. While brand recognition has nothing to do with E-WOM. Furthermore, the results of this research definitely point to the importance of the impact on E-WOM while brand recognition has no impact on E-WOM. The study's conclusions also highlight the importance of mediating variables including brand awareness, brand image, and brand loyalty. This study can prove that almost all moderating effect variables are involved in mediating social media marketing on Garuda Indonesia's e-WOM airline, except the brand awareness variable, which has no indirect effect or has no impact on the relationship between social media marketing and E-WOM. The results of this study should be relevant to a social media strategy, particularly for Garuda Indonesia Airlines.
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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 | 0.010 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".