Conceptualizing and Measuring Perceived Quality, Brand Awareness, and Brand Image Composition of Brand Loyalty
Bibliographic record
Abstract
This study examined the antecedents of brand equity such as, brand awareness, perceived quality and the mediating role of a brand Image on brand loyalty. Total number of (n = 150) questionnaires were distributed among the consumers living in four cities (Islamabad, Rawalpindi, Sialkot, and Sargodha) of Pakistan. Out of the total questionnaires only (n = 130, 86.6%) completed questionnaires were received. Pearson correlation, linear regression and multiple regression tests were used to test the data and infer the results. Results show a positive relationship between the independent and dependent variables. Additionally, mediation has been found between brand awareness, perceived quality and brand loyalty due to brand image. It means that brand awareness and perceived quality develop the brand image which ultimately yields brand loyalty. Thus loyalty programs of beverage companies should focus on brand awareness and consumers’ perception of quality. Overall, these results show that the influence on brand loyalty varies across various variables of the study. The results contribute significantly to the brand equity topic.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".