Exploring Behavioural Dimensions of Organic Food Repeat Purchase Behaviour: An Exploratory Factor Analysis Among Indian Consumers
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2026.17.3.08Keywords:
Organic Food Products, Multidimensional Behaviour, Exploratory factor analysis, Indian Consumers, Trust in Organic Food Labelling, Health Consciousness, Environmental Concern, Repeat Purchase BehaviourDimensions Badge
Issue
Section
License
Copyright (c) 2026 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The present study aims to identify and validate the underlying behavioural dimensions influencing repeat purchase behaviour of organic food consumers. With increasing awareness of health and environmental sustainability, organic food consumption has grown significantly in recent years. However, consumer behaviour toward repeat purchasing remains complex and influenced by multiple behavioural and psychological factors. An Exploratory Factor Analysis (EFA) using Principal Components Analysis with Varimax rotation was conducted on 24 Likert-scale items measuring consumer attitudes and behavioural tendencies toward organic food consumption. The Kaiser–Meyer–Olkin (KMO) Measure of Sampling Adequacy and Bartlett’s Test of Sphericity were applied to assess data suitability for factor analysis. Factors with eigenvalues greater than 1.00 were extracted, and factor loadings of 0.45 or above were retained. Internal consistency reliability was assessed using Cronbach’s alpha. Six multidimensional behavioural factors emerged: attitude towards organic food, environmental concern, health consciousness, organic food labelling, purchase intention, and repeat purchase behaviour, explaining a significant portion of the total variance. Reliability coefficients ranged from 0.752 to 0.808, with the overall repeat purchase behaviour scale demonstrating strong internal consistency (α = 0.946). The findings support the multidimensional nature of consumer decision-making regarding organic food consumption. The validated scale provides a reliable instrument for examining behavioural patterns of repeat purchase behaviour and offers valuable insights for marketers, policymakers, and researchers interested in promoting sustainable food consumption.Abstract
How to Cite
Downloads
Similar Articles
- Sachin V. Chaudhari, Jayamangala Sristi, R. Gopal, M. Amutha, V. Akshaya, Vijayalakshmi P, Optimizing biocompatible materials for personalized medical implants using reinforcement learning and Bayesian strategies , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Sabeerath K, Manikandasaran S. Sundaram, ESPoW: Efficient and secured proof of ownership method to enable authentic deduplicated data access in public cloud storage , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Arunachalaprabu G, Fathima Bibi K, A pattern-driven Huffman encoding and positional encoding for DNA compression , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- A. Angelpreethi, M. Lakshmi Priya, R. Kavitha, DeepPre-OM: An Enhanced Pre-processing Framework for Opinion Classification of Microblog Data , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- S V Arulvani, Dr. C. Jayanthi, Logistic Elitist Liquid Neural Network For Student Dropout Prediction , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Saroj Bala, Rajiv Ranjan Dwivedi, The Problematics of Parenthood in the Shiva Trilogy by Amish , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Vatsal Parashar, Dimple Raina, Shweta Sahni, Molecular profiling and prevalence of hepatitis B virus (HBV) in clinical isolates and its importance , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Akshay J., G. Mahesh Kumar, B. H. Manjunath, Optimizing durability of the thin white topping applying Taguchi method using desirability function , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Sindhu S, L. Arockiam, DRMF: Optimizing machine learning accuracy in IoT crop recommendation with domain rules and MissForest imputation , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- Priyanka P, Sabu Sebastian, Haseena C., Bijumon R., Shaju K., Gafoor I., Sangeeth S. J., Multi-fuzzy set similarity measures using S and T operations , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
<< < 50 51 52 53 54 55 56 57 58 59 > >>
You may also start an advanced similarity search for this article.

