A carregar...
Publicação
Impact of variances on continuous usage of electric vehicles in Portugal
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 847.29 KB | Adobe PDF |
Autores
Orientador(es)
Resumo(s)
This study explores the factors influencing the continued use of electric vehicles (EVs) in
Portugal, focusing on the roles of Task-Technology Fit (TTF), Perceived Usefulness (PU),
Satisfaction, and Personal Norms (PN). By integrating the Expectation Confirmation Model
(ECM) with TTF and PN constructs, the research aims to provide a comprehensive
understanding of what drives the continuance intention of EV owners. The findings
underscore the critical importance of TTF and satisfaction in shaping users' intentions to
continue using EVs. TTF, which measures how well EVs meet users' daily needs, emerged as a
significant factor influencing both satisfaction and continuance intention. Satisfaction itself
was found to be a strong predictor of continuance intention, reinforcing the necessity for
manufacturers to focus on delivering a high-quality user experience. Interestingly, the study
revealed that personal norms, while important for initial adoption, do not significantly
influence long-term use decisions. This suggests that practical factors such as cost,
convenience, and performance take precedence over moral and ethical considerations in the
context of continued EV use. Additionally, the negative moderation effect of TTF on the
relationship between PU and continuance intention suggests that as the fit between task and
technology improves, the perceived usefulness of the EV becomes less critical in driving
continuance intention. These insights highlight the need for manufacturers and policymakers
to prioritize practical aspects of EVs and ensure they align closely with users' needs to foster
long-term adoption and usage. The study's results provide valuable implications for the
development of strategies to enhance user satisfaction and promote the sustained use of
electric vehicles.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Data Driven Marketing, specialization in Marketing Intelligence
Palavras-chave
Electric Vehicles (EV) Task-Technology Fit (TTF) Perceived Usefulness (PU) Satisfaction Personal Norms (PN) Continuance Intention Environmental Sustainability User Experience Technology Adoption Consumer 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