Antecedents of Fashion Consciousness and Their Impact on Sustainable Apparel Consumption: A Structural Equation Modeling Approach
DOI:
https://doi.org/10.55845/jos-2026-22162Keywords:
Sustainability, Fashion, Value-Attitude-Behavior (VAB), Theory of Planned Behavior (TPB), Involvement, Consciousness, Fashion IndustryAbstract
This study examines the determinants of fast fashion organic apparel consumption by integrating the Value-Attitude-Behavior (VAB) framework and the Theory of Planned Behavior (TPB). The research investigates the influence of fashion involvement, importance of being well dressed, shopping enjoyment, pro-environmental attitude, and cost consciousness on fashion consciousness, which further drives sustainable apparel consumption. A quantitative research design was employed using a structured questionnaire, and data were collected from 570 valid respondents belong India. The proposed model was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) version 4.1.1.8. The findings reveal that fashion involvement is the strongest predictor of fashion consciousness, while shopping enjoyment and pro-environmental attitude exert weaker but significant effects. In contrast, importance of being well dressed and cost consciousness do not significantly influence fashion consciousness. Furthermore, fashion consciousness significantly impacts fast fashion organic apparel consumption and acts as a key mediating variable. Mediation analysis confirms that fashion consciousness partially mediates the relationships between selected antecedents and consumption behavior. The study contributes to the literature by providing a comprehensive framework that integrates cognitive, hedonic, and environmental factors in explaining sustainable fashion consumption. The findings offer valuable implications for marketers and policymakers to promote environmentally responsible fashion practices.
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Data Availability Statement
The survey data used in this study are available from the corresponding author upon reasonable request. Due to confidentiality considerations, the dataset cannot be publicly shared.
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Copyright (c) 2026 Anjali Sharma, Prof. Pooja Yadav

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Accepted 23-06-2026
Published 08-07-2026