The role of Instagram social media marketing activities and brand equity towards airlines customer response
Bibliographic record
Abstract
Recent research on Social Media Marketing Activities (SMMA) in the airline industry emphasizes on areas of brand equity, but some research has looked into the function of brand equity in determining the impact of SMMAs on customers. This study aims to find out how service users and followers of Airline's Instagram social media profiles respond to SMMA, brand awareness, brand image, e-WOM and commitment. The data collection method in this study was done by distributing questionnaires to respondents as many as 386 service users and followers of the airline on Instagram social media. This study used Partial Least Square Structural Equation Model (PLS-SEM) to analyze data. Based on hypothesis testing, this study shows that SMMA has a significant positive effect on brand awareness and brand image. Furthermore, this study also reveals that brand awareness and brand image have significant positive effects on e-WOM and Batik Air airline commitment.
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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 | 0.017 | 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 | 0.001 | 0.002 |
| 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".