The Possible Effects of Need for Uniqueness’s Dimensions on Luxury Brands: Case of Iran and UAE
Bibliographic record
Abstract
The current research aims to explore the possible effects of need for uniqueness’s dimensions on fashion luxury brands purchase intentions and to compare Kish and Dubai market in this perspective. The researchers consider three dimensions for uniqueness: creative choice, similarity avoidance and unpopular choice. In addition, the relations between those three dimensions were investigated.Findings indicate that consumers want to express their individuality, and they also want to maintain social norms. This findings support the idea that some consumers prefer expensive and high quality brands that are considered prestigious. This study reveals that there is a relation between creativity choice and unpopular choice among respondents of two markets and the relation between unpopular choice and similarity avoidance, creativity choice and similarity avoidance is only valid among respondents of Iran. The definition of uniqueness for both markets is the same due to order of importance for each constructs in mind of participants in the survey while this definition remain the same between genders and among respondents with different level of education.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".