A predictive model for environmentally responsible purchase intention of organic products: a study from Malaysia

Joachim Clement Denis and Shathees Baskaran

International Journal of Business Innovation and Research, 2025, vol. 36, issue 2, 204-228

Abstract: The organic products industry is facing several challenges in Malaysia although the demand for such products in this country is growing. Hence, this study aims to investigate the effect of green perceived quality, green perceived value, and green trust on green purchase intention for an organic product in Malaysia. To improve predictive value, green marketing was introduced to these relationships. A quantitative approach was employed involving a survey. Four hundred and fifty-six usable responses were obtained for data analysis. The results show significant relationships between green perceived quality, green perceived value, and green trust on green purchase intention. Moreover, green marketing was found to moderate these relationships as well. From the theoretical grounds, this research study adds to the current literature. The study also has provided important implications to marketers, manufacturers as well as policy-makers about effective ways of creating awareness among consumers.

Keywords: green perceived quality; green perceived value; green trust; green marketing; green purchase intention; organic product. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=144393 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijbire:v:36:y:2025:i:2:p:204-228

Access Statistics for this article

More articles in International Journal of Business Innovation and Research from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().