Moderating Role of Materialism in the Effect of Perceived Value on Purchase Intention of Counterfeits of Luxury Brands
Bibliographic record
Abstract
The use of counterfeits of luxury brands has become a phenomenon in Turkey in recent years since they are the most significant facilitator for consumers to reach luxury consuming products. Limited number of studies in the literature shows that consumers prefer counterfeits of luxury brands for a variety of reasons. Within this study, it is believed that perceived value of products in consumers’ minds and consumers’ materialistic tendencies demonstrating the worth attached to physical assets could have an impact on their purchase intention of counterfeits of luxury brands. Within this framework, this study aims to identify the effect of perceived value on consumer purchase intention of counterfeits of luxury brands and the moderating role of materialism in this effect. Data of the study are being collected through face-to-face survey method with university students who have bought and used counterfeit products before. Exploratory Factor Analysis is carried out for construct validity and reliability of the research model, and relationships between variables are measured with Hierarchical Regression Analysis to test the model. The result expected to be reached based on the findings of the study is to be able to present whether the relationship between consumers’ perceived value of counterfeit products and their purchase intention of counterfeits of luxury brands are dependent on consumers’ materialistic tendencies. Therefore, it is envisaged that consumers who have high materialistic tendencies will show more purchase intention of counterfeits of luxury brands compared to consumers having low materialistic tendencies when they perceive high value for counterfeit products. However, it was found that materialism did not have any moderating role in the effect of perceived value of counterfeit products on purchase intention of counterfeits of luxury brands.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".