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Record W4400987588 · doi:10.54097/3nj1sx98

A Study of the Influence of New Media on Luxury Marketing Strategy

2024· article· en· W4400987588 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 Education Humanities and Social Sciences · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Perception and Purchasing Behavior
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAdvertisingBusinessMarketing

Abstract

fetched live from OpenAlex

The overall purchasing power of people in contemporary society has been steadily increasing in recent years because of the steadily increasing social wealth accumulation and the progressive improvement of the global economy's comprehensive capability. People are now consuming and sharing information in a new way because of the advent of social media and other mobile technologies. An increasing number of luxury businesses are updating their traditional marketing strategies and entering the online sales arena to adapt to the new media landscape. For the brand to achieve its goal of serving a wider range of consumer groups, it bids adieu to the upper echelons of the consumption chain, takes the initiative to approach customer direction, and allows consumers to have a deeper understanding and involvement. This paper elucidates the impact of new media on the diffusion of brand emotional value and the enhancement of customer connection in the luxury market through an analysis of the evolution and development of luxury marketing tactics within the context. This paper concludes that the development and expansion of the luxury market are significantly aided by new media, which is indispensable.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.127
GPT teacher head0.346
Teacher spread0.219 · 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