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Record W1995142053 · doi:10.1086/657924

A Coal in the Heart: Self-Relevance as a Post-Exit Predictor of Consumer Anti-Brand Actions

2010· article· en· W1995142053 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Consumer Research · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsQueen's UniversityWestern University
Fundersnot available
KeywordsRelevance (law)PsychologyAdvertisingWord of mouthProduct (mathematics)Consumer behaviourHostilitySocial psychologyBrand relationshipMarketingBrand managementBusinessPolitical science

Abstract

fetched live from OpenAlex

This article extends theory around consumer-brand relationship quality by exploring conditions under which such relationships may be transformed into exceptionally negative dispositions toward once-coveted brands. Survey and experimental results indicate that the more self-relevant a consumer-brand relationship, the more likely are anti-brand retaliatory behaviors after the relationship ends. These anti-brand behaviors are diverse: from complaining to third parties, to negative word of mouth, to illegal actions such as theft, threats, and vandalism. In contrast, post-exit consumer-brand relationships that were low in self-relevance but were high in trust, commitment, and satisfaction are less likely to result in anti-brand actions. The role of a discrete product or service failure is also explored, and results suggest that self-relevance may motivate retaliation even in the absence of a so-called critical incident. Ultimately, this research illuminates previously unexplored mechanisms—including self-conscious emotional reactions—that motivate consumer hostility and retaliation.

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 imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.330
Threshold uncertainty score0.919

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.074
GPT teacher head0.370
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it