Heterogeneous sources of customer-based brand equity within a product category
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
Purpose – Unlike prior consumer-based brand equity (CBBE) research that examines well-known brands in different product categories, the purpose of this paper is to focus on the within-product category differences in terms of the sources of CBBE. Design/methodology/approach – To facilitate the comparison, the paper proposes a hybrid measurement model of CBBE that systematically integrates various existing CBBE dimensions and examines the substantive difference among master brands and their sub-brands within a product category. The model distinguishes the latent CBBE construct from its dimensions, and separates its formative (causes of CBBE) from its reflective (effects of CBBE) dimensions, based on their causal relationship with the construct. Findings – The paper collects CBBE data for multiple soft drink master brands and sub-brands. The paper finds significant differences among them and provides a detailed view that has not been revealed to the marketers before. Originality/value – The paper not only examines a more realistic context for consumers’ marketplace choice but also is more relevant to brand managers who closely monitor their direct competitors’ performance.
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 | 0.001 | 0.000 |
| 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) | 0.001 | 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 it