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Record W4327723573 · doi:10.1007/s11747-023-00928-4

Feeling the values: How pride and awe differentially enhance consumers’ sustainable behavioral intentions

2023· article· en· W4327723573 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 the Academy of Marketing Science · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsUniversity of Alberta
FundersNational Natural Science Foundation of ChinaMonash University
KeywordsPrideValue (mathematics)FeelingConsumption (sociology)PsychologyPreferenceSocial psychologyConsumer behaviourMarketingBusinessSociologyEconomicsPolitical scienceMicroeconomicsComputer science

Abstract

fetched live from OpenAlex

Abstract Building on prior work examining discrete emotions and consumer behavior, the present research proposes that consumers are more likely to engage in the target sustainable behavior when marketers use an emotional appeal that matches the brand’s expressed values or one that is congruent with consumers’ value priority. In particular, we focus on two contrasting positive emotions—pride and awe. We show that the effectiveness of pride and awe appeals depends on the corresponding human values. Specifically, pride increases sustainable behavior and intentions when the self-enhancement value is prioritized; and awe increases sustainable behavior and intentions when the self-transcendence value is prioritized. Importantly, this interaction can be explained by enhanced self-efficacy. We demonstrate these effects across six studies, including a field study. Our findings contribute to a better understanding of sustainable consumption, reconcile prior research, and provide practical guidance for marketers and policy-makers.

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)0.010
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.537
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.327
Teacher spread0.273 · 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