Social media marketing to increase customer satisfaction in hospitality industry
Bibliographic record
Abstract
The study investigates the impact of product quality and social media marketing on brand loyalty through customer satisfaction in the context of Japanese restaurants in Jakarta. Utilizing primary data from 203 respondents who frequented these restaurants, collected via questionnaires employing purposive sampling, the research employs partial least squares (PLS) analysis through SmartPLS 3.3.3 software. Results indicate direct positive relationships among variables. However, no direct positive relationship was found between product quality or social media marketing and brand loyalty. Instead, both product quality and social media marketing indirectly influence brand loyalty through customer satisfaction. The study highlights direct positive associations between product quality and customer satisfaction, social media marketing and customer satisfaction, and customer satisfaction and brand loyalty. Nevertheless, no direct positive link was found between product quality or social media marketing and brand loyalty. The indirect effects reveal that product quality affects brand loyalty through customer satisfaction and social media marketing influences brand loyalty through customer satisfaction as well. These findings underscore the significance of customer satisfaction as a mediator in the relationship between product quality, social media marketing, and brand loyalty in the hospitality industry.
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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 | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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".