Examining the Impact of Wearability Dimensions on User Acceptance of Recycled Fabric Using Multilinear Regression

As sustainable fashion is increasingly incorporating recycled materials, it is important to understand the wearability factors that influence user acceptance. The research utilized a descriptive research design, which is user-centric. To examine the impact of wearability factors that affect the user acceptance of recycled fabric, a survey was conducted with two hundred respondents. To validate the theoretical construct, exploratory factor analysis followed by confirmatory factor analysis (CFA) was conducted. The results revealed high construct validity and reliability, with factor loadings above 0.7 and acceptable goodness-of-fit indices (RMSEA 0.061, CFI 0.949). Stepwise multiple linear regression was then used to determine how well these factors predicted user acceptance. The final regression model explained 40.3% of the variance in the importance rating of user acceptance (R2 = 0.403= 32.935, p < 0.001). Aesthetics (β 0.371) and comfort (β 0.185) are the most significant parameters of user acceptance, followed by functionality (β 0.176) and awareness (β 0.119). These findings provide a solid framework for creating sustainable and user-centric recycled textiles. The study also contributes to the limited body of research on wearability and consumer perception of garments made from recycled handloom material.