JOURNAL ARTICLE
Exploring the profile of green consumers: Role of demographics and factors influencing green purchase behavior.
Published In: Business & Society Review (00453609), 2024, v. 129, n. 2. P. 225 1 of 3
Database: Business Source Ultimate 2 of 3
Authored By: Mehta, Pooja; Chahal, Harpreet Singh 3 of 3
Abstract
In the past decades, the world has witnessed significant growth in environmental issues such as the generation of waste, climatic changes, and depletion of natural resources. Due to this, there has been a substantial upsurge in consumers who prefer green products. Hence, exploring the stable set of characteristics of green consumers becomes extremely important for organizations to develop customer‐oriented targeting and segmenting strategies. The present study attempts to explore key factors influencing green purchase behavior and the behavioral profile of green consumers in the Indian context. The study surveyed 400 respondents from Punjab. Multivariate analysis was performed to analyze the data. The results of the analysis revealed three distinctive consumer clusters based on green purchase behavior. "Pro‐environmentals" represent the segment of green consumers. Consumers of this cluster were found to be highly environmentally conscious. Besides this, the study confirmed noticeable differences in the three clusters in terms of gender, age, number of children, and marital status. Finally, the results indicated the behavioral profile of green and non‐green consumers and explained prominent differences between the three clusters. This knowledge shall enable marketers to design tailor‐made marketing strategies focusing on the specific needs of each consumer cluster. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Business & Society Review (00453609). 2024/06, Vol. 129, Issue 2, p225
- Document Type:Article
- Subject Area:Business and Management
- Publication Date:2024
- ISSN:0045-3609
- DOI:10.1111/basr.12357
- Accession Number:178229744
- Copyright Statement:Copyright of Business & Society Review (00453609) is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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