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Record W4214698195 · doi:10.5539/ijms.v14n1p34

The Role of Consumers’ Individual Differences and Perceived Product Quality in Sustainable Luxury Marketing: An Experimental Study in a Social Media Context

2022· article· en· W4214698195 on OpenAlexvenueno aff
Giuseppe Colella, Andrea Sestino, Cesare Amatulli

Bibliographic record

VenueInternational Journal of Marketing Studies · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsnot available
Fundersnot available
KeywordsBusinessProduct (mathematics)Context (archaeology)MarketingConsumption (sociology)AdvertisingQuality (philosophy)SustainabilityPerceptionSustainable consumptionPsychologySociology

Abstract

fetched live from OpenAlex

Sustainability has become a central issue for luxury marketers and managers. By considering the luxury sector, consumers are more interested in buying sustainable products. However, luxury brands need to find the right way to communicate their sustainable products, especially in the online context. This paper sheds light on the differentiated effect of a luxury product communication message focused on an internalized versus externalized luxury approach in social media platforms context. Internalized luxury refers to luxury consumption mainly driven by individual style, while externalized luxury consumption refers to luxury consumption mainly driven by status. Results show that a sustainable luxury product communication focused on internalized (vs. externalized) luxury activates a greater perception of product quality, which in turn leads to a greater intention to buy. Theoretical contributions and implications for luxury brand managers are discussed.

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)0.009
metaresearch head score (Gemma)0.002
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 score0.313
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.061
GPT teacher head0.339
Teacher spread0.277 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations5
Published2022
Admission routes1
Has abstractyes

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