Statistical Modeling of Consumer Preferences for Eco-friendly Digital Products: A Data-driven Approach Toward Sustainable Consumption in India
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.10.14Keywords:
Sustainable consumption, consumer analytics, digital behavior, eco-friendly products, statistical modeling, circular economy, ESG marketingDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
As environmental concerns intensify globally, consumer behavior is undergoing a paradigm shift, particularly within rapidly digitizing economies like India. In this context, understanding and statistically modeling consumer preferences for eco-friendly digital products is both timely and essential. This study offers a data-driven approach to decoding sustainable consumption patterns, focusing on key behavioral and demographic indicators influencing green purchase intent. Drawing from structured survey responses of over 350 urban Indian consumers, the research employs a suite of advanced statistical tools-including multiple regression, principal component analysis (PCA), logistic regression, and chi-square tests-to examine correlations between sustainability-driven choices and variables like age-of-consumers, education-of-consumers, income, digital literacy with prior exposure to environmental campaigns. The analysis reveals that awareness of sustainability issues is significantly associated with behavioral outcomes like trust in eco-brands, willingness to pay a premium, and digital engagement with green content. PCA effectively distilled 14 observed behavioral metrics into three principal components, accounting for 78% of the variance in sustainable decision-making. These components reflect digital influence, socio-demographic consciousness, and psychological affinity toward sustainability. The study contributes a novel statistical modeling framework that bridges consumer psychology with sustainability science. Its interdisciplinary approach supports SDG-9 (industry-and-innovation), SDG-12 (responsible-consumption), and SDG-13 (climate-action), while offering practical insights for marketers, digital strategists, and policymakers. By harnessing empirical evidence, the research informs ESG-aligned and circular economy marketing strategies that resonate with India’s digitally active and environmentally conscious consumer baseAbstract
How to Cite
Downloads
Similar Articles
- Tewoderos Legesse, Bekelech Sharew, Evaluation of white seeded sesame (Sesamum indicium L.) genotypes on growth and yield performance in Menit Goldya Woreda of West Omo Zone, SWE , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Senthil Murugan C, Vijayabalan Dhanabal, Sukumaran D, Suresh G, Senthilkumar P, Analysis of distributions using stochastic models with fuzzy random variables , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Ramalakshmi V, Prioritizing the factors affecting employee relations and its influence on job performance , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Hariini Chandramohan, Sethu Gunasekaran, Comparative analysis on the photocatalytic activity of titania and silica nanoparticles using dye discoloration and contact angle test , The Scientific Temper: Vol. 16 No. 01 (2025): The Scientific Temper
- Mansi Harjivan Chauhan, Divyang D. Vyas, Advancements in sentiment analysis – A comprehensive review of recent techniques and challenges , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Bhoomika Singh, Defluoridation of Drinking Water in India , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Subhasre S, Nirmala Varghese, A study on consumer attitude and preferences towards graphic design on clothing , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- I.Bhuvaneshwarri, M. N. Sudha, An implementation of secure storage using blockchain technology on cloud environment , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- K. R. R. Prakash, Kishore Kunal, Designing information systems for business administration through human and computer interaction , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Mayuri Gupta, Deesha Khaire, Financial devolution in a multilevel system: An evaluation of the working of state finance commissions in India , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
<< < 27 28 29 30 31 32 33 34 35 36 > >>
You may also start an advanced similarity search for this article.

