Identifying key factors affecting purchase intentions of electric vehicles using systematic literature review

Abstract

This paper conducts a Systematic Literature Review (SLR) to explore the key factors influencing consumer intentions to purchase Electric Vehicles (EVs). The study is underpinned by the SLR methodology adapted from the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework. We examined 36 related articles using Rayyan software to identify publication trends, methodologies, theories, and variable factors in existing research on EVs purchase intentions. The analysis reveals that consumer attitudes (ATT), societal norms (SN), perceived behavioral control (PBC), and Environmental Concern (EC) are pivotal in shaping EVs purchase intentions. Additionally, the study highlights the significant impact of government policies, economic factors, technical parameters, and market dynamics on the EVs market. The research also identifies gaps in the literature, particularly in the areas of habitual behavior and hedonic motivation (HM), suggesting the need for further exploration. Our findings show that different journals contribute diversely to this research area, with 'Sustainability (Switzerland)' leading the publications. Structural Equation Modeling (SEM) and Partial Least Squares (PLS) are the most used research methods, while the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) are the most frequently used theoretical frameworks. Geographically, most studies originate from China, followed by India and Thailand, indicating significant research interest in these regions. This study contributes to the discourse on sustainable transportation by providing insights that can inform targeted marketing strategies and infrastructural planning in Thailand. By understanding the multifaceted factors influencing EVs purchase intentions, stakeholders, including policymakers, manufacturers, and marketers, can better facilitate the growth of EVs in the region.