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Record W4391662101 · doi:10.46799/jst.v4i12.882

Brand Communication Strategy Analysis of Lululemon Athletica Using AISAS Model

2023· article· en· W4391662101 on OpenAlexaboutno aff
Sitorus Sitorus, Hilyatussyuhada Hilyatussyuhada, Da Silva, Nurusholih Nurusholih

Bibliographic record

VenueJurnal Syntax Transformation · 2023
Typearticle
Languageen
FieldMedicine
TopicDiverse Approaches in Healthcare and Education Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Brand communication is an effort done by a brand to promote their unique traits or superiority against other brands, using many kinds of strategy. One of successful examples of brand communication is from lululemon athletica; a brand which focuses on athletic garments from America-Canada that centered in Vancouver. Lululemon is a company that swear and commit on developing sustainability and humane development through their natural and human resources, to the point where lululemon is known as an ideal model of brand for sustainability fashion. This scientific article is written to evaluate and to analyze lululemon athletica’s brand communication strategy using AISAS (Attention, Interest, Search, Action, and Share) analysis model. This research is using the method of qualitative. Data were collected through various sources. Primary data was obtained from observation via internet in the form of posters, videos, and social media activity about lululemon athletica. Secondary data was obtained through literature reviews. Lululemon athletica’s brand communication is focused on transparency, and also the health of both environment and their users; where this strategy resulting in successful trust from their users.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score0.341

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.172
GPT teacher head0.397
Teacher spread0.226 · 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 designSimulation or modeling
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

Citations1
Published2023
Admission routes1
Has abstractyes

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