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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM57359
Volume:
10 |
3 |
Mar 2026
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Consumer perception of eco-friendly products in India represents a growing yet structurally constrained domain in which favourable attitudes have not translated into consistent purchasing behaviour. This study presents a statistically rigorous empirical investigation of how Indian consumers perceive eco-friendly products and which perceptual dimensions drive repurchase commitment. Drawing on primary survey data from 202 valid respondents collected via stratified random sampling across urban and semi-urban India during January–February 2026, a comprehensive inferential statistical framework was applied comprising Spearman rank-order correlations, one-sample t-tests against a neutral midpoint (µ₀ = 2.5), Mann–Whitney U tests, point-biserial correlations, chi-square tests of independence, and ordinary least squares (OLS) multiple regression with standardised coefficients. Five perceptual scales were tested. All five means were statistically significantly above the neutral midpoint (p < .001). Quality perception registered M = 2.970 (SD = 0.897, t(196) = 7.344); regulation impact achieved the highest mean at M = 3.371 (SD = 0.700, t(196) = 17.464). The OLS regression model was significant [F(5,191) = 5.472, p < .001, R² = .125, Adj. R² = .102], identifying long-term cost effectiveness (β = .197) and perceived benefits (β = .166) as the two strongest positive predictors of repurchase intention. Critically, definitional awareness failed to predict repurchase intention (r_pb = .110, p = .123), directly challenging the awareness-first paradigm that governs most green marketing strategy in India. Three adoption barriers high price (29.2%), limited availability (28.7%), and awareness depth (27.2%) share near-equal weights, revealing a compound constraint structure.
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Publication Date
9/2/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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The authors declare no conflict of interest related to this research work.
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