Consumer evaluation of net utility: Effects of competition on consumer brand selection processes
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 explores how brand‐related information is integrated within a competitive environment. Specifically, we develop a structural equation model of competition between two brands, which includes each brand's price‐quality characteristics (i.e., net utility). The model simultaneously tests how the net utility of the focal and competing brands affects consumers' attitudes, intentions, and choice regarding the focal brand. This study extends existing research with the findings that price‐quality evaluations of a focal brand and net utility perceptions of competing brands influence consumers' attitudes, intentions, and choice regarding the focal brand. Thus, in order to attract consumers to their brands, marketers should focus not only on improving the performance and net utility of their own brands, but also on studying competing brands in the marketplace.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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