Examination of the Relationship between Luxury Value Perception and Shopping Motivations: Turkey Sample
Bibliographic record
Abstract
It was aimed to reveal the effects of financial, functional, individual and social value perceptions on hedonic and utilitarian shopping motivations within this study. In this direction, a questionnaire was conducted to people over the age of 18 in cities representing 12 regions of Turkey and 2857 questionnaires were put into consideration in total. Confirmatory factor analysis and structural equation modelling (SEM) were applied to data. According to findings it was identified that the luxury value perception has influence over hedonic and utilitarian motivations. The individual value dimension of luxury perception has the highest effect on hedonic motivations and social, financial and functional value dimensions follow it respectively. And the relative effect of functional luxury value perception also has the highest effect on utilitarian motivations and the financial, individual and social values follow respectively. It was found that, while all these perception’s effects have positive impacts, only the social value perception has a negative impact on utilitarian motivations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".