Purchase Intention Determinants and Beneficiary Satisfaction: Evidence from Kerala Agricultural Development Society
Authors
Dr. Priya Mariyat
Associate Professor, Post Graduate and Research Department of Commerce Maharaja’s (Government Autonomous) College, Ernakulam (IN)
Dr. Suby Baby
Assistant Professor, Post Graduate and Research Department of Commerce, Nirmala College Muvattupuzha (Autonomous), Muvattupuzha (IN)
Dr. Mufliha S
Assistant Professor, Post Graduate and Research Department of Commerce, Government Victoria College, Palakkad (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2026.15020000065
Subject Category: Management
Volume/Issue: 15/2 | Page No: 753-761
Publication Timeline
Submitted: 2026-03-16
Published: 2026-03-16
Abstract
Beneficiary satisfaction and purchase intention are critical indicators of the effectiveness and sustainability of agricultural development organisations. Purchase intention reflects beneficiaries’ willingness to continue purchasing products, while satisfaction arises from their overall evaluation of product quality, pricing, and service experiences. The Kerala Agricultural Development Society (KADS) plays a significant role in supporting agricultural development in Kerala by ensuring fair prices for farm produce, promoting organic and eco-friendly agricultural practices, and reducing the influence of intermediaries.
This study examines the key determinants influencing purchase intention and beneficiary satisfaction among KADS beneficiaries. Using empirical evidence collected from beneficiaries across Kerala, the study analyses the relationship between organisational initiatives, perceived value, satisfaction, and purchase intention. The findings highlight that fair pricing mechanisms, product quality, and trust in KADS significantly influence beneficiary satisfaction, which in turn positively affects purchase intention. The study provides practical insights for strengthening beneficiary-oriented strategies and enhancing the effectiveness of agricultural development programmes implemented by KADS.
Keywords
Beneficiary Satisfaction, Purchase Intention, Purchase Behaviour and Agricultural Products
Downloads
References
1. Books [Google Scholar] [Crossref]
2. Kotler, P., & Keller, K. L. (2016). "Marketing Management." 15th Edition. Pearson Education. [Google Scholar] [Crossref]
3. Journals [Google Scholar] [Crossref]
4. Alpert, M.I. (1971), Identification of Determinant Attributes: A Comparison of Methods. Journal of Marketing Research, 8, pp. 184. [Google Scholar] [Crossref]
5. Ambert, A. M., Adler, P. A., Adler, P., & Detzner, D. F. (1995), Understanding and evaluating qualitative research. Journal of Marriage and the Family, 879-893. [Google Scholar] [Crossref]
6. Anderson, E. W., Fornell, C., & Lehmann, D. R. (1994). "Customer Satisfaction, Market Share, and Profitability: Findings and Implications for Business Practices." Journal of Marketing, 58(3), 53-66. [Google Scholar] [Crossref]
7. Baal, S. and Dach, C. (2005) Free riding and customer retention across retailers´ channels. Journal of Interactive Marketing, 19(2), pp. 75. 6. [Google Scholar] [Crossref]
8. Baumgartner, H. & Steenkamp, J. B. E. (1996), Exploratory consumer buying behavior: Conceptualization and measurement. International journal of Research in marketing, 13(2), 121-137. [Google Scholar] [Crossref]
9. Caruana, A. (2002). "Service Loyalty: The Effects of Service Quality and the Mediating Role of Customer Satisfaction." European Journal of Marketing, 36(7/8), 811-828. [Google Scholar] [Crossref]
10. Foxall, G. & Yani-de-Soriano, 2005. "Situational influences on consumer’ attitudes and behaviour". Journal of Business Research, pp. 518-25. [Google Scholar] [Crossref]
11. Government of Kerala. (2020). Agricultural Development Policy. Department of Agriculture, Kerala. [Google Scholar] [Crossref]
12. Gupta, A., & Menon, R. (2021). “Digital Platforms in Agricultural Extension Programs.” International Journal of Rural Development, 12(1), 112-130. [Google Scholar] [Crossref]
13. Kerala Agricultural Development Society (KADS). (2021). Annual Report. Thodupuzha, Kerala. [Google Scholar] [Crossref]
14. National Bank for Agriculture and Rural Development (NABARD). (2020). "Annual Report on Agricultural Financing." NABARD Publications. [Google Scholar] [Crossref]
15. Oliver, R. L. (2010). "Satisfaction: A Behavioral Perspective on the Consumer." 2nd Edition. Routledge. [Google Scholar] [Crossref]
16. Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1988). "SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality." Journal of Retailing, 64(1), 12-40. [Google Scholar] [Crossref]
17. Patel, S., & Desai, R. (2020). "Impact of Agricultural Cooperatives on Rural Development." Journal of Cooperative Studies, 15(4), 89-98. [Google Scholar] [Crossref]
18. Rao, N. (2019). "Agricultural Transformation and the Role of Institutions." International Journal of Agrarian Studies, 7(2), 34-47. [Google Scholar] [Crossref]
19. Sharma, R., & Verma, P. (2019). “Role of Cooperative Societies in Promoting Sustainable Agriculture.” Journal of Agricultural Studies, 8(3), 45-62. [Google Scholar] [Crossref]
20. Singh, K., & Kaur, J. (2021). "Role of Agri-Tech Startups in Enhancing Farmer Income." Journal of Agricultural Innovation, 10(1), 67-79. [Google Scholar] [Crossref]
21. Thomas, M. (2018). “Direct-to-Market Strategies and Their Impact on Farmer Welfare.” Indian Journal of Agricultural Economics, 73(2), 205-217. [Google Scholar] [Crossref]
22. United Nations Food and Agriculture Organization (FAO). (2020). “Sustainable Agricultural Practices: Global Perspectives.” FAO Publications. [Google Scholar] [Crossref]
23. World Bank. (2019). "Agriculture and Rural Development: Challenges and Opportunities." World Bank Publications. [Google Scholar] [Crossref]
24. 21.Zeithaml, V. A., Bitner, M. J., & Gremler, D. D. (2017). "Services Marketing: Integrating Customer Focus Across the Firm." 7th Edition. McGraw-Hill Education. [Google Scholar] [Crossref]
Metrics
Views & Downloads
Similar Articles
- Drone-Based Phenotyping and its Utilization in Crop Improvement: A Review
- An IoT-Enabled Smart Healthcare Monitoring System Using Machine Learning for Early Health Risk Prediction
- Strategic Integration of Artificial Intelligence for Achieving Operational Excellence in Container Freight Stations Using Evidence from Chennai, India
- Adoption of OTT platforms: Analyzing User Behavior through the UTAUT2 Model
- Customers’ Buying Behaviour in Relation to Online Food Delivery (Evidence from National Capital Region (NCR) of India)