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Article
Publication date: 2 December 2024

Rakesh Kumar Beuria, Rama Koteswara Rao Kondasani and Jogeswar Mahato

This study aims to analyze the impact of minimalism, attitude, perceived behavioral control and subjective norm on green purchase intention in the fashion industry using the…

Abstract

Purpose

This study aims to analyze the impact of minimalism, attitude, perceived behavioral control and subjective norm on green purchase intention in the fashion industry using the theory of planned behavior (TPB).

Design/methodology/approach

The study used the mall-intercept technique to collect data from shopping malls across six cities in India by administering a structured questionnaire. The sample comprised 230 responses, which were analyzed using the partial least square structural equation modeling (PLS-SEM).

Findings

The findings highlighted that minimalism, subjective norm, attitude and perceived behavior control significantly affect the purchase intention of green apparel in fashion industries. This strengthens the validity of the TPB in explaining green purchasing intention among educated individuals from Generations Y and Z in India.

Practical implications

This study is crucial for corporate leaders and academia as it embarks on new findings from young Indian consumers’ perspective. Minimalistic principles shape consumers’ purchasing attitude by enhancing their confidence and ability to adopt green consumption practices.

Originality/value

The study advances the comprehension of sustainable fashion marketing in India by investigating the correlation between customers’ minimalism and purchasing intention regarding sustainable apparel.

Details

Research Journal of Textile and Apparel, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1560-6074

Keywords

Article
Publication date: 4 June 2024

Aditi Saha, Rakesh D. Raut, Mukesh Kumar, Sanjoy Kumar Paul and Naoufel Cheikhrouhou

This paper aims to explore the underlying intention behind using blockchain technology (BLCT) in the agri-food supply chain (AFSC). This is achieved by using a conceptual…

Abstract

Purpose

This paper aims to explore the underlying intention behind using blockchain technology (BLCT) in the agri-food supply chain (AFSC). This is achieved by using a conceptual framework based on technology acceptance models that considers various factors influencing user behavior toward implementing this technology in their practices.

Design/methodology/approach

The conceptual framework developed is empirically validated using structural equation modeling (SEM). A total of 258 respondents from agri-food domain in India were involved in this survey, and their responses were analyzed through SEM to validate our conceptual framework.

Findings

The findings state that food safety and security, traceability, transparency and cost highly influence the intention to use BLCT. Decision-makers of the AFSCs are more inclined to embrace BLCT if they perceive the usefulness of the technology as valuable and believe it will enhance their productivity.

Practical implications

This study contributes to the existing literature by providing thorough examination of the variables that influence the intention to adopt BLCT within the AFSC. The insights aim to benefit industry decision-makers, supply chain practitioners and policymakers in their decision-making processes regarding BLCT adoption in the AFSC.

Originality/value

This study investigates how decision-makers’ perceptions of BLCT influence their intention to use it in AFSCs, as well as the impact of the different underlying factors deemed valuable in the adoption process of this technology.

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