The Influence of Brand Loyalty on Cosmetics Buying Behavior of UAE Female Consumers
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.
Bibliographic record
Abstract
The worldwide annual expenditures for cosmetics is estimated at U.S. $18 billion, and many players in the fieldare competing aggressively to capture more and more markets. The purpose of this article is to investigate theinfluence of brand loyalty on cosmetics buying behavior of female consumers in the Emirate of Abu Dhabi in theUAE. The seven factors of brand loyalty are brand name, product quality, price, design, promotion, servicequality and store environment. Questionnaires were distributed and self-administered to 382 respondents.Descriptive analysis, one-way ANOVA and Pearson Correlation were used in this study. The findings of thisstudy indicated that brand name has shown strong correlation with brand loyalty. The research results showedthat there is positive and significant relationship between factors of brand loyalty (brand name, product quality,price, design, promotion, service quality and store environment) with cosmetics brand loyalty.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it