How Are Consumers Reacting to Brand Sobriety: An Analysis of Perceived Coherence and Message Tone in a Canadian Context
Bibliographic record
Abstract
The sobriety approach is gaining traction in the market, with many brands seeking to address new environmental challenges by adopting zero-waste manufacturing processes and promoting moderate product usage. This positioning raises major questions for brands related to the coherence of this strategy with their initial brand image and consumer reactions to this strategy. Through an experiment conducted with 241 participants in Canada, this study examines the coherence effect (strong vs. weak) and its interaction with the communications tone (optimistic vs. pessimistic) on consumers perceptions and responses to brand sobriety. The results show that strong coherence reduces perceptions of brand hypocrisy and increases perceptions of brand relevance, as well as emotional attachment and purchase intention. The study also shows that reactions are reinforced or diminished based on the communicational tone chosen; only the optimistic tone enhances consumers perceptions and responses when the coherence is weak. The theoretical and managerial implications of this study will be discussed.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".