Luxury consumers’ behavior: a cross-cultural aspect
Bibliographic record
Abstract
A comprehensive study of the consumers’ needs and demands, the patterns of their social and cultural behavior are essential to the success of the modern luxury companies in their market activity. The purpose of research is to study the possible differences and similarities in the perception of luxury and motivation to purchase these goods by consumers in different parts of the world and selection of acceptable marketing tools. The study is built on the results of analysis of cultural values in some countries using the country comparison tool developed by Hofstede and the results of analysis of scientific articles on the behavior of luxury goods consumers in different countries. The methodology approach – Hofstede’s model of national culture and scientific studies belonging to cultural impacts on luxury consumers’ behavior – is applied to explore cross-cultural differences in luxury consumption behavior. The findings of the study are as follows: consumers from countries with high power distance, collectivism, and masculinity, long-term orientation, and low indulgence primarily perceive social values in consuming luxury goods and are sensitive to conspicuous luxury-status. In cultures with high individualism, masculinity, indulgence, and low power distance, consumers display to perceive individual and functional values and are sensitive to “emotional hedonistic luxury.” The consumption of luxury goods in the Asian region is characterized by significant focusing on social values and status consumption, more than in the rest of the world. The motives of achievements in the form of self-realization and self-actualization are among the main reasons for the luxury consumption of European Union consumers.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".