Quiet versus loud luxury: the influence of overt and covert narcissism on young Chinese and US luxury consumers' preferences?
Bibliographic record
Abstract
Purpose This study examines the impact of narcissism on young luxury consumers' preferences for quiet versus loud luxury products in China and the United States. As young consumers are increasingly becoming the bedrock of global luxury growth, it is imperative for marketing researchers and practitioners to understand the psychological and social needs of these consumers. Design/methodology/approach A two-study examination of young Chinese and US luxury consumers suggests that the two types of narcissism influence luxury consumption in different ways. Study 1 is a survey of young Chinese consumers that examines how the impact of narcissism on luxury purchase is mediated by social attitude functions and moderated by social anxiety. Study 2 is an experiment conducted in both the United States and China that establishes the causal relationship between the different types of narcissism and purchase intention toward quiet versus loud luxury products. Findings Building on an overarching framework that integrates both the narcissism literature and social attitude function theory, this study shows that overt narcissistic (vs. covert) consumers hold a value-expressive (vs. social-adjustive) attitude toward luxury products, which leads them to prefer quiet (vs. loud) luxury. In addition, higher levels of social anxiety enhance the mediating role of narcissistic consumers' social attitude functions. Originality/value This study advances understanding of young Chinese and US luxury consumers' narcissistic consumption patterns by proposing and empirically testing a novel research model that examines the mechanisms by which overt and covert narcissism leads to a different preference of quiet and loud luxury via the routes of different social attitude functions.
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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 | 0.003 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".