Determinants of Consumer Perceptions towards Value-added Millet Products in Kerala, India

The paper examines determinants affecting the consumption of value-added millet products among consumers in Kerala, India. Using multi-stage sampling, 326 samples were collected from three districts of Kerala state in India, namely, Trivandrum, Palakkad, and Malappuram in December 2023. The study employed t-tests and one-way ANOVA to investigate the potential impact of socio-economic characteristics on consumer perception of value-added millet products. The structural equation model (SEM) was employed to analyse the determinants, like nutritional value, price, package quality, flavour, and media exposure, on consumer behaviour to buying millet products. Consumer perceptions vary according to demographic features such as gender, age, marital status, area of residence, and income. The SEM model states that all five determinants have a significant impact on the perception of consumers except price. With an unstandardized coefficient of 0.59, the “nutritional benefit” determinant had the strongest positive influence on consumer perception, while with an unstandardized coefficient of -0.023, price had a negative influence on the perception of consumers. The results imply that to increase the acceptance of value-added millet products, initiatives to promote millet consumption should concentrate on enhancing nutritional knowledge, taste, flavour, quality of production, and cost reduction.

Authors

Institutions

Publication Details

Published
2025-10-03
DOI
https://doi.org/10.48165/ijee.2025.61416
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determinants of Consumer Perceptions towards Value-added Millet Products in Kerala, India

Surendra Singh Jatav, Pradeesh Kunchu, Reshma Vattekkad, Mohandas Vallamala Krishnankutty
Agricultural Economics and Practices
article

Determinants of Consumer Perceptions towards Value-added Millet Products in Kerala, India

Surendra Singh Jatav, Pradeesh Kunchu, Reshma Vattekkad, Mohandas Vallamala Krishnankutty
article en

Abstract

The paper examines determinants affecting the consumption of value-added millet products among consumers in Kerala, India. Using multi-stage sampling, 326 samples were collected from three districts of Kerala state in India, namely, Trivandrum, Palakkad, and Malappuram in December 2023. The study employed t-tests and one-way ANOVA to investigate the potential impact of socio-economic characteristics on consumer perception of value-added millet products. The structural equation model (SEM) was employed to analyse the determinants, like nutritional value, price, package quality, flavour, and media exposure, on consumer behaviour to buying millet products. Consumer perceptions vary according to demographic features such as gender, age, marital status, area of residence, and income. The SEM model states that all five determinants have a significant impact on the perception of consumers except price. With an unstandardized coefficient of 0.59, the “nutritional benefit” determinant had the strongest positive influence on consumer perception, while with an unstandardized coefficient of -0.023, price had a negative influence on the perception of consumers. The results imply that to increase the acceptance of value-added millet products, initiatives to promote millet consumption should concentrate on enhancing nutritional knowledge, taste, flavour, quality of production, and cost reduction.

Vol. 61(4)
Babasaheb Bhimrao Ambedkar University (IN), Government of Kerala (IN), Gandhigram Rural Institute (IN)
Openalex Percentile: Top 58%
Agricultural Economics and Practices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.