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Understanding the determinants and outcomes of electric vehicle adoption: A mixed-methods study
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| 1.09 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
Given the current environmental problems, electric vehicles (EV) have been seen as an
environmentally friendly alternative to traditional gasoline-powered cars; however, although
adoption studies have been widely developed, a significant gap exists in providing a holistic
view of the EV adoption process, comprising both antecedents and outcomes of EV adoption
among its users. Therefore, and based on a mixed-methods approach, this study provides a
holistic research model tested resorting to structural equation modeling, being able to identify
the factors influencing EV use behavior and its outcomes among enthusiasts. We find that
emphasizing environmental benefits and user-friendliness are key drivers of EV use. This
research contributes to the understanding of EV by highlighting the importance of clear
communication about environmental benefits and user experience, ultimately influencing
perceived well-being and perceived task performance. These findings inform strategies for
promoting EV use, with implications for both academia and practitioners.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics
Palavras-chave
Electric Vehicle Adoption Environmental Benefits User Behavior Perceived Well-being Perceived Task Performance SDG 12 - Responsible production and consumption SDG 13 - Climate action