The effects of multiple‐ads and multiple‐brands on consumer attitude and purchase behavior
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 The purpose of this research is to show how the dual mediation model has been used to explain consumer responses toward an ad and a brand. This study attempts to incorporate ad affect and competition into the framework and examine the effects of advertising on consumers' attitudes and purchase intentions in multiple‐ad and multiple‐brand environments. Design/methodology/approach A total of 165 usable data (54 percent female, mean age=36.2) were collected from an experiment conducted in North America. Findings The findings revealed that the higher level of affective responses to a focal ad significantly leads to a higher evaluation of that ad. Our findings also indicated that information about a competing ad and brand is processed comparatively and that evaluations of the competing ad and brand negatively influence evaluations of a focal ad and brand. Originality/value Important theoretical contributions of this study are that ad affect is an important determinant in the formation of ad attitude and it can be incorporated into the dual mediation model to explain the effects of advertising on consumer behavior. Our research also challenges the dual mediation model by incorporating competition into the model. Managerial implications of these results were discussed.
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 | 0.003 | 0.003 |
| 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 | 0.000 |
| 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