Customer behavior and sentiment analysis of Electric Vehicles in nepal

Abstract

This study explores customer behavior and sentiment analysis regarding electric vehicles (EVs) in Nepal, focusing on the influence of cultural, social, personal, and psychological factors. Using a sample of 400 respondents, both correlation and regression analyses were conducted to assess how these factors shape environmental, infrastructural, productrelated, and economic sentiments towards EV adoption. results indicate that cultural factors

exhibit the strongest overall correlation with sentiment analysis (r = .691, p < 0.01), followed by personal, social, and psychological factors. Regression analysis reveals that cultural influences are the most significant predictor of overall sentiment (β = .448, p < 0.01), particularly impacting environmental (β = .372) and product sentiment (β = .671). Personal factors were also significant across multiple sentiment dimensions, notably infrastructural (β = .179) and economic sentiment (β = .214). In contrast, psychological and social factors had moderate to limited predictive power, showing significance in only a few sentiment categories. The findings suggest that while all four behavioral dimensions play a role, cultural and personal factors predominantly drive public sentiment toward electric vehicles in Nepal. These insights are crucial for policymakers, marketers, and EV manufacturers aiming to design culturally aligned and personally relevant strategies to foster EV adoption.

Keywords: Sentiment analysis, buying behavior, electric vehicles