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Purpose

This study investigates how the Big Five (BF) personality traits influence green consumerism (GCM), focusing on the extent to which each trait predicts eco-friendly behaviors. It also explores the relative importance of these traits using both partial least squares structural equation modeling (PLS-SEM) and artificial neural networks (ANN).

Design/methodology/approach

This study uses a quantitative approach, surveying 689 respondents through a structured questionnaire. ANN was utilized to complement PLS-SEM and to validate the significance of antecedents identified via PLS-SEM, thereby improving the robustness and practical relevance of the findings.

Findings

Results from both PLS-SEM and ANN revealed that extraversion (EXT) was the most significant predictor of GCM, followed by conscientiousness (CON), agreeableness, openness to experience and neuroticism (NEU). While EXT had the greatest influence, NEU negatively impacted GCM.

Practical implications

Marketers can tailor green campaigns by targeting individuals with high EXT and CON, emphasizing the social and ethical dimensions of green products.

Social implications

Understanding personality-based drivers of green behavior helps promote sustainable consumption patterns, contributing to environmental protection and social responsibility.

Originality/value

This research contributes by integrating PLS-SEM and ANN, offering a novel approach to understanding the influence of BF personality traits on GCM.

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