The mediating role of social media marketing effectiveness in the relationship between customer engagement and brand loyalty: A study of Amazon as a retail brand store
Bibliographic record
Abstract
This study aims to examine the mediating role of social media marketing effectiveness in the relationship between customer engagement dimensions (cognitive, emotional, behavioral, transactional, and social) and brand loyalty in the context of Amazon as a retail brand store. A quantitative approach was adopted, employing a survey-based method to collect data from 320 consumers who engage with Amazon as a retail brand store on social media platforms. Findings reveal positive effects of cognitive, emotional, transactional, and social engagement on brand loyalty and social media marketing effectiveness. However, behavioral engagement exhibited a negative impact. Social media marketing effectiveness positively influenced brand loyalty and mediated the relationships between customer engagement dimensions and brand loyalty. This study contributes to literature by challenging assumptions and providing insights into the interplay among customer engagement dimensions, social media marketing effectiveness, and brand loyalty. This offers brands the opportunity to promote and increase their awareness with the use of social media to interact with existing customer base that will boost loyalty in the long run. Only a few studies have examined social media marketing effectiveness as a mediator between customer engagement dimensions and brand loyalty. Therefore, this work endeavors to fill this gap by investigating consumer engagement, social media marketing and brand loyalty in an age when the internet plays an important role.
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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 | 0.023 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".