My Clothes, My Precious: Psychological Ownership and Compulsive Fashion Hoarding in Fast and Regular Fashion
Bibliographic record
Abstract
This research investigates how self-investment influences consumers’ psychological ownership and subsequently compulsive hoarding tendencies toward both fast fashion and conventional ``regular'' fashion items. Through a pre-registered online experiment (N = 434), our results show that high self-investment leads to stronger psychological ownership of fashion items, which in turn drives compulsive hoarding tendencies. When examining the three subdimensions of compulsive hoarding (clutter, difficulty discarding, excessive acquisition) separately, we also find that compared to regular fashion, fast fashion items lead to perceptions of more excessive clutter. In contrast, while regular fashion items may be perceived as associated with less clutter, they also trigger stronger reluctance and difficulty to discard. Our work contributes to the literature by being one of the first studies to empirically link psychological ownership to compulsive hoarding in a fashion consumption context. We also offer practical suggestions on tailored marketing initiatives and retail approaches to reduce fashion hoarding for both fast fashion and regular fashion consumption.
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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 | 0.004 |
| 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 | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".