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Orientador(es)
Resumo(s)
Despite several benefits, the market penetration of battery electric vehicles (BEVs) is below expectation. In light of studies suggesting the significant role of society in enhancing the uptake of technology-driven products, it is important to better understand how social factors affect consumers' intention to use technologies. Data gathered from 120 self-administered surveys were analysed using structural equation modelling (SmartPLS) to examine the effect of subjective norms (SN) and image (IM) on adoption intentions for BEVs. The result showed that social factors played important roles in the decision to adopt the technology. Image, in particular, was a significant behavioural drive for current BEV owners. Social norm and image factors should be considered in research frameworks and communication strategies, especially in contexts where the choices that individuals make are public and subject to the judgement of the members of society. The study's limitations and future research directions are also discussed.
Descrição
Palavras-chave
Battery electric vehicles BEVs Image SmartPLS Social influence Structural equation modelling Subjective norm
Contexto Educativo
Citação
Editora
Inderscience Enterprises Ltd
