A Conceptual Framework for Creating Brand Management Strategies
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
Branding has become a business priority over the past few decades due to the growing awareness that brands are one of the companies’ most valuable intangible assets. Academics and practitioners have proposed models of components to simplify brands into a small number of parts, or dimensions. Nonetheless, there is a lack of specific approaches to brand management models that fit specific business scenarios. The objective of this study was to propose a general framework to create custom brand management strategies that fit specific business scenarios through a set of independent brand dimensions. The framework was applied to the specific case of SME alliance in a B2B export environment as an example of use. This study reviews the most cited brand management models in literature and classified them into 12 independent brand dimensions. The results suggest that regardless of the brand management model, all of them converge on the fact that creating a high-quality brand relationship with the customer is crucial for the branding process. Findings suggest non-evident relationships between dimensions. The findings also suggest that brand dimensions’ and brand dimension relationships’ importance in specific business scenarios shape brand management models in unique ways.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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