“Should I stay or should I go?” a dual-theory behavioral analysis of electric vehicle adoption and retention
Metadatos
Mostrar el registro completo del ítemAutor
Higueras-Castillo, Elena; Rialp-Criado, Josep; Buhmann, Kathrin-Monika; Liébana-Cabanillas, FranciscoEditorial
Elsevier
Materia
Electric vehicles Pro-environmental Behavior Consumer segmentation
Fecha
2025-11Referencia bibliográfica
Higueras-Castillo, E., Rialp-Criado, J., Buhmann, K.-M., & Liébana-Cabanillas, F. (2025). “Should I stay or should I go?” a dual-theory behavioral analysis of electric vehicle adoption and retention. Transport Policy, 173(103792), 103792. https://doi.org/10.1016/j.tranpol.2025.103792
Patrocinador
Universidad de Granada / CBUA (Open access)Resumen
Achieving sustainable transport systems requires actionable insights into the behavioral dynamics underpinning
both the initial adoption and sustained use of electric vehicles (EVs). This research addresses this challenge
through two independent empirical studies integrating the Value-Belief-Norm theory and the Expectation
Confirmation Theory within a segmentation-based approach. Study 1 (n = 265) examines the psychological
determinants of EV adoption, identifying the ascription of responsibility as the most influential factor and
revealing five distinct consumer profiles: Engaged Changemakers, Hesitant Traditionalists, Idealistic Altruists,
Pragmatic Individualists, and Detached Skeptics. Study 2 (n = 434) explores continuance intention among
current EV users, revealing that satisfaction and confirmation of expectations are critical predictors. Six segments
emerge: Satisfied Pragmatists, Highly Satisfied Altruists, Highly Satisfied Realists, Disappointed but Responsible,
Reluctant Skeptics, and Self-Interested Dropouts. These findings underscore a clear behavioral distinction: while
ethical and normative concerns dominate the adoption stage, experiential satisfaction and alignment between
expectations and performance are central to retention. By combining two established behavioral theories with
data-driven segmentation, the research offers differentiated, evidence-based policy and marketing recommendations, emphasizing value-driven communication to boost adoption and user experience improvements to
secure retention. This dual framework advances understanding of EV consumer behavior and provides practical
guidance for accelerating the transition to low-emission mobility.





