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Publicação
User Adoption of Electric Vehicles with an AI-managed Battery
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| 1.07 MB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
The world has recently faced pandemics, wars, and natural disasters, leading to energy crises
and an urgent need to address environmental issues. Electric vehicles (EV) are a promising
solution but face adoption challenges, mainly due to battery limitations. Meanwhile, artificial
intelligence (AI) has grown significantly across various fields. Integrating AI into EV can
improve efficiency, optimization, and the driving experience. This study aims to determine
whether this integration can promote EV adoption using the theory of planned behavior (TPB)
and adding both AI and EV-related variables. These relationships were analyzed by applying
SEM-PLS to the data from 214 survey questionnaire responses. The results highlight that trust
in AI (influenced by familiarity) and concern about range significantly impact users' attitudes
and their intention to adopt EV. Although charging satisfaction did not initially play a major
role when moderated by environmental concerns, it influences perceived behavioral control,
and consequently EV adoption.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Risk Analysis and Management
Palavras-chave
Electric vehicles artificial intelligence battery adoption theory of planned behavior SDG 7 - Affordable and clean energy SDG 9 - Industry, innovation and infrastructure SDG 11 - Sustainable cities and communities SDG 12 - Responsible production and consumption SDG 13 - Climate action