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Record W2941542253 · doi:10.26486/jramb.v3i1.409

Pengaruh brand image terhadap keputusan pembelian produk Adidas di Paris Van Java Bandung

2017· article· id· W2941542253 on OpenAlexaff
Dyah Ayu Lestari, Ida Nurnida

Bibliographic record

VenueJurnal Riset Akuntansi Mercu Buana · 2017
Typearticle
Languageid
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsHumanitiesMathematicsArt

Abstract

fetched live from OpenAlex

Industri produk olahraga saat ini sangat kompetitif dalam menentukan bentuk, warna dalam merek produknya. Brand image merupakan hal yang paling penting jika produk menjadi lebih kompleks dan ramai dipasaran. Penelitian ini bertujuan untuk mengetahui pengaruh brand image terhadap keputusan pembelian produk Adidas di Prasi Van Java Bandung. Penelitian ini menggunakan metode kuantitatifdengan jenis penelitian deskriptif-kausalitas. Pengambilan sampel dilakukan dengan metode nonprobability sampling dengan insidental sampling menggunakan sebanyak 100 responden. Teknik analisis data yang digunakan yaitu analisis regresi linear berganda. Berdasarkan hasil uji hipotesis secara parsial menunjukkan bahwa keunggulan dan keunikan merek berpengaruh terhadap keputusan pembelian. Hasil koefisiensi determinasi brand image berpengaruh terhadap keputusan pembelian sebear 64,3% dan sisanya sebesar 35,7% dipengaruhi oleh faktor lain yang tidak diteliti dalam penelitian ini.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0210.005

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 head0.019
GPT teacher head0.269
Teacher spread0.250 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2017
Admission routes1
Has abstractyes

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