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Record W2309528255 · doi:10.1108/jpbm-09-2014-0717

Does social currency matter in creation of enhanced brand experience?

2016· article· en· W2309528255 on OpenAlexaff
Sabrina Trudeau H., Saeed Shobeiri

Bibliographic record

VenueJournal of Product & Brand Management · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsBrand equityMarketingCurrencyBrand managementOriginalityBrand awarenessPsychologyAdvertisingConsumer behaviourContext (archaeology)BusinessSocial responsibilitySocial psychologyPublic relationsEconomicsPolitical science

Abstract

fetched live from OpenAlex

Purpose – This study aims to demonstrate the importance of the newly developed concept of social currency as an antecedent of brand experience in the context of cosmetics consumption. In other words, the authors suggest that social currency could act as a brand experience provider. Design/methodology/approach – Data collection was made through a paper and pencil survey. The sample consisted mostly of undergraduate and graduate students recruited on a voluntary basis at a large northeastern university. Self-administered questionnaires were filled by 373 participants, who were instructed to think about their favourite brand when it comes to buying cosmetic products for themselves. Findings – Results showed that social currency positively impacts all four dimensions of brand experience, i.e. sensory, affective, behavioural and intellectual experiences. The findings also suggest that conversation, advocacy and affiliation are the three significant dimensions of social currency when it comes to the consumption of cosmetics. Originality/value – This study reveals, for the first time, how the concept of social currency could enhance a fundamental component of brand equity, i.e. brand experience. Another important contribution of this research is the establishment of higher levels of validity for the newly developed concept of social currency. This study would also contribute to the investigation of brand experience antecedents, which have been little addressed in the literature on the emerging paradigm of experiential marketing.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.895
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.269
Teacher spread0.253 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations36
Published2016
Admission routes1
Has abstractyes

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