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Record W4309399182 · doi:10.33087/ekonomis.v6i2.596

Pengaruh Citra Merek dan Kepercayaan merek terhadap Loyalitas Produk Roma Sari Gandum di Wilayah Gresik

2022· article· en· W4309399182 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

VenueEKONOMIS Journal of Economics and Business · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior and Marketing Influence
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsNonprobability samplingBrand loyaltyAdvertisingBrand imagePopulationLikert scaleProduct (mathematics)PsychologySample (material)BusinessLoyaltyMarketingMathematicsSociology

Abstract

fetched live from OpenAlex

Brand loyalty is a behavior of consumer loyalty to the brand by repurchasing the same product more than once. The purpose of this research is to find out the effect of brand image and brand trust on brand loyalty.This research uses quantitative methods. The questionnaire survey uses a Likert scale with a population and a sample of 90 consumers in the Gresik area. The selection of this research sample is based on purposive sampling. The results of the analysis using the Partial Least Square (PLS) application with validity tests, reliability tests, and hypothesis testing. The results of the study indicate that the brand image has made a high contribution to brand loyalty in Roma Sari wheat products. Brand trust can contribute to brand loyalty in Roma Sari Gandum Products. It means that the better the brand image produced by a product, the higher the brand loyalty. Even if brand trust, the higher the brand trust, the higher the brand loyalty.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.020
GPT teacher head0.205
Teacher spread0.186 · 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