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1 – 2 of 2Rakesh 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
Keywords
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.
Details