The Mediating Effects of Brand Association, Brand Loyalty, Brand Image and Perceived Quality on Brand Equity
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
According to Marketing Science Institute (2002), one of the major objectives of marketing research is to assess the strength of brand equity. It is imperative to acknowledge that brand equity is an inseparable part of marketing and essential to the companies to create core-competencies and build strong brand experience that will impact the consumer decision making process (Norjaya Mohd. Yasin & Abdul Rahman Zahari, 2011). The aim of this study is to find out the indirect relationship amongst the brand equity dimensions on brand equity. For the purpose of this study, brand equity dimensions include brand association, brand awareness, brand loyalty, perceived quality and brand image. In this study, a sum of 300 usable questionnaires were gathered. The result indicates a mediating relationship amongst the dimensions of brand equity on brand equity.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 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