A carregar...
Publicação
Analysing the acceptance of vehicles with assisted driving technologies : the TAM approach
| Nome: | Descrição: | Tamanho: | Formato: | |
|---|---|---|---|---|
| 1.22 MB | Adobe PDF |
Orientador(es)
Resumo(s)
Os veículos autónomos são a perspetiva futura do setor automóvel, estando prevista a apresentação de alguns protótipos nos próximos meses. Embora esta tecnologia tenha um grande potencial, torna-se essencial analisar a opinião do consumidor relativamente à sua aceitação. O presente estudo tem como objetivo analisar a aceitação, ou não, através do modelo Technology Acceptance Model (TAM) por parte dos consumidores, considerando uma versão ampliada do modelo com a inclusão de variáveis externas relevantes. Para tal, foi aplicado um método de investigação quantitativa, através de um questionário online. O inquérito recolheu mais de 500 respostas, das quais 269 eram válidas para análise. Os dados foram analisados recorrendo ao modelo partial least squares structural model (PLS-SEM). Os resultados corroboram as 11 hipóteses propostas. Em relação à variável latente perceived ease of use (PEOU), as variáveis externas "influência social" e "condições facilitadoras" revelaram ter uma influência positiva estatisticamente significativa sobre a PEOU, enquanto a variável "ansiedade" demonstrou uma influência negativa. No que diz respeito aos preditores da perceived usefulness (PU), tanto a variável "influência social" como a variável "autoeficácia" apresentaram um impacto positivo estatisticamente significativo sobre a PU. As relações do TAM (PEOU → PU, PU → Atitude, PEOU → Atitude, PU → Intenção Comportamental e Atitude → Intenção Comportamental) revelaram-se todas estatisticamente significativas, com um bom poder explicativo. Adicionalmente, a variável "preocupações éticas" teve um impacto negativo estatisticamente significativo sobre a variável atitude. O modelo explicou 64,7% da variância (R²) da behavourial intention to use (BI), indicando um nível substancial de precisão preditiva. A nível académico, este estudo forneceu novos dados para a compreensão da aceitação, por parte do consumidor, de veículos com tecnologias de condução assistida, propondo novas relações (Preocupações Éticas → Atitude) e reforçando outras já testadas. Em termos práticos, o estudo oferece valor tanto para o mercado da indústria automóvel como para a opinião pública e política, salientando a importância de abordar não apenas as questões técnicas, mas também as preocupações socioculturais, éticas e emocionais.
Autonomous vehicles (AVs) are positioned as the next major innovation in the automotive industry, with the release of some prototypes being expected in the coming months. While the technology is undoubtedly promising, it is essential to analyse public opinion regarding its acceptance. This study seeks to analyse consumer acceptance using the Technology Acceptance Model (TAM), expanded with relevant external variables. To analyse them, a quantitative research method was applied through an online questionnaire. The survey gathered over 500 answers, from which 269 valid responses were retained for analysis. The data were analysed using a partial least squares structural model (PLS-SEM). The results confirmed all 11 research hypotheses. For the latent variable perceived ease of use (PEOU), the external variables social influence and facilitating conditions were found to have a statistically significant positive influence on PEOU, while the variable anxiety had a negative influence. Regarding PU predictors, both social influence and self-efficacy had a statistically significant positive impact on PU. The core TAM relations (PEOU → PU, PEOU → Attitude, PU → Attitude, PU → Behavioural Intention, and Attitude → Behavioural Intention) were all statistically significant and demonstrated good explanatory power. Additionally, the variable ethical concerns had a statistically significant negative impact on attitude. The model explained 64.7% of the variance (R²) in Behavioural Intention (BI). At the academic level, this study contributed with more knowledge about the acceptance of vehicles with assisted driving technologies, proposing new relations (Ethical Concerns → Attitude) and reinforcing other tested relations. In practice, the study offers value not only to the automotive developers but also to policymakers, highlighting the importance of addressing ethical and emotional questions as well as the technical ones.
Autonomous vehicles (AVs) are positioned as the next major innovation in the automotive industry, with the release of some prototypes being expected in the coming months. While the technology is undoubtedly promising, it is essential to analyse public opinion regarding its acceptance. This study seeks to analyse consumer acceptance using the Technology Acceptance Model (TAM), expanded with relevant external variables. To analyse them, a quantitative research method was applied through an online questionnaire. The survey gathered over 500 answers, from which 269 valid responses were retained for analysis. The data were analysed using a partial least squares structural model (PLS-SEM). The results confirmed all 11 research hypotheses. For the latent variable perceived ease of use (PEOU), the external variables social influence and facilitating conditions were found to have a statistically significant positive influence on PEOU, while the variable anxiety had a negative influence. Regarding PU predictors, both social influence and self-efficacy had a statistically significant positive impact on PU. The core TAM relations (PEOU → PU, PEOU → Attitude, PU → Attitude, PU → Behavioural Intention, and Attitude → Behavioural Intention) were all statistically significant and demonstrated good explanatory power. Additionally, the variable ethical concerns had a statistically significant negative impact on attitude. The model explained 64.7% of the variance (R²) in Behavioural Intention (BI). At the academic level, this study contributed with more knowledge about the acceptance of vehicles with assisted driving technologies, proposing new relations (Ethical Concerns → Attitude) and reinforcing other tested relations. In practice, the study offers value not only to the automotive developers but also to policymakers, highlighting the importance of addressing ethical and emotional questions as well as the technical ones.
Descrição
Trabalho Final de Mestrado, Management, ISEG, 2025.
Palavras-chave
TAM consumer behaviour ethical concerns autonomous vehicles TAM preocupações éticas carros autónomos comportamento do consumidor