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 Journal of Statistics and Management Systems cover
Open Access ·Peer-reviewed·ISSN (Online): 2169-0014·ISSN (Print): 0972-0510
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The Journal of Statistics and Management Systems (JSMS) is a world leading journal publishing high quality, rigorously peer-reviewed original research on theoretical and applied statistics and management systems since 1998. The scope is intentionally broad, but papers must make a novel contribution to the field to be considered for publication. Topics include, but are not limited to, the following: • Statistics • Applied Statistics • Industrial Statistics • Statistical Inference • Interdisciplinary role of Statistics • Actuarial Sciences • Decision Sciences • Managerial Aspects • Management Sciences • Management Information Systems

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Open Access Research Article

Fabric sustainability : An eco-conscious perspective of Indian consumers

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pp. 169–186Vol. 27Issue 1January 2024DOI: 10.47974/JSMS-1210XML
Received:
08 Aug 2023
Published Online:
27 Nov 2023
Article type:
Research Article
Language:
EN
Article no.:
JSMS-1210
Pages:
169–186

Abstract

Sustainable living is the need of the hour, keeping the demands of the environmental concern. The apparel industry has a 10% contribution to the carbon footprint. This research paper identifies the components that influence the perception of fabric sustainability and the choices made by consumers in purchasing organically made apparel. The study also aims at knowing the numerous influences made by variables identified, such as green attitude, environmental concern or social responsibility, peer pressure and recycling. The researcher has identified the research gap between the intention to buy organic apparel and the actual purchase. Factors positively affect the purchase behaviour of consumers preferring sustainable apparel. The purpose of this study is an overview of sustainable fashion consumption. The groundwork of the study was conceptualized with the existing literature review. Percentage analysis was used to categorize independent variables. Descriptive statistics were analysed using the test of normality and reliability analysis. Confirmatory Factor Analysis (CFA), reliability tests, average variance and discriminant validity, were also extracted. The hypothesis was tested with a model developed for sustainable apparel businesses in the industry through Structural Equation Modeling (SEM) approach. Data analyzed in the study shows a positive relationship between the conceptualized factors such as recycling, awareness, responsibility/environmental concern, green attitude, and eco-labelling with the purchase pattern of the consumers who procure organic apparel. All the measures were found robust. Test of normality and Cronbach’s alpha shows standard values that are globally accepted. The hypothesis was found to be supported through the SEM approach. The paper aims to fabricate awareness and purchase intentions among consumers considering sustainable apparel. This study has bridged the gap found through other literature reviews. A unique workable model was designed and can be deployed by the fashion industry as a new mix for attracting consumers towards sustainable apparel.

Keywords

Subject Classifications

00-02

References

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