Consumer Purchasing Decision Improvement Model through Brand Image, Religiosity, Brand Ambassador and Brand Awareness
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
In several studies, theoretically, companies that have good brand ambassadors will produce good purchasing decisions. However, empirically, it does not guarantee that brand ambassadors are able to produce good purchasing decisions. This gap is interesting to study in depth. Based on theoretical studies and according to the viewpoint of previous research, the concept of brand awareness is expected to be a solution in overcoming research gaps in brand ambassadors and consumer purchasing decisions. Companies that use brand ambassadors that generate good brand awareness are companies that are able to increase consumer purchasing decisions. For this reason, 150 Tokopedia users in Central Java were researched and tested the linkages between research variables. This phenomenon study is expected to contribute to the development of science, especially marketing management.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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