Should the Devil Sell Prada? Retail Rejection Increases Aspiring Consumers' Desire for the Brand
Bibliographic record
Abstract
In response to consumers' complaints that they feel rejected in and thus avoid luxury stores, retailers have encouraged sales personnel to be more friendly. However, prior research on social rejection supports the idea that rejection encourages people to elevate their perceptions of their rejecters and strengthens their predilection to affiliate with them. Four studies examine the circumstances in which consumers increase their regard and willingness to pay after brand rejection. In a retail context, the data reveal that after threat, consumers have more positive attitudes and higher willingness to pay when (1) the rejection comes from an aspirational (vs. nonaspirational) brand, (2) the consumer relates the brand to his/her ideal self-concept, (3) s/he is unable to self-affirm before rejection, (4) the salesperson delivering the threat reflects the brand, and (5) the threat occurred recently. The substantive implications of these findings for retailers are discussed, and opportunities for future research are identified.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".