Conceptualizing and Measuring Perceived Quality, Brand Awareness, and Brand Image Composition of Brand Loyalty
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it