The Impact of Fashion Involvement and Pro-Environmental Attitude on Sustainable Clothing Consumption: The Moderating Role of Islamic Religiosity
Bibliographic record
Abstract
There is a general belief that fashion involvement leads toward unsustainability. To resolve this issue, the present study aims to explore that whether sustainable fashion consumption is characterized by an individual’s fashion consciousness and his pro-environmental attitude or not. In addition, how an individual’s religiosity can moderate this relationship. For the purpose of collecting the data, a survey questionnaire method was applied by making use of adopted measurement scales from the previous literature. Convenience sampling technique was employed to collect the data from a total of 350 respondents. The outcomes of this study illustrate that both fashion-conscious and pro-environmental attitude consumers are significantly and positively associated with sustainable fashion consumption. Furthermore, both the aspects of religiosity, that is, interpersonal religiosity and intrapersonal religiosity, moderate the relationship. The current study has profound implications for fashion retailers and manufacturers that they should incorporate sustainable business practices into their manufacturing processes. Managers should focus on devising such a comprehensive business model that is based on the principles of sustainability.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.006 | 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".