Use este identificador para citar ou linkar para este item:
http://repositorio.ufla.br/jspui/handle/1/56372| Título: | Factors for diffusion of autonomous vehicles technology: text mining of online news |
| Palavras-chave: | Autonomous vehicles Diffusion of technology Diffusion factors Text mining Veículos autônomos Difusão de tecnologia Fatores de difusão Mineração de textos |
| Data do documento: | Nov-2022 |
| Editor: | Inderscience Enterprises Ltd. |
| Citação: | SILVA, J. P. N. et al. Factors for diffusion of autonomous vehicles technology: text mining of online news. International Journal of Automotive Technology and Management, Geneva, v. 22, n. 4, p. 424-449, 2022. DOI: https://doi.org/10.1504/IJATM.2022.126828. |
| Resumo: | Autonomous vehicles technology is in prominent development and is already widespread in most popular media. Therefore, it is important to understand how this diffusion is happening and how it can impact the development of technology. This study aims to understand which factors contribute to the diffusion of autonomous vehicles (AVs) through primary research sourcing online media data. Based on Rogers (1995), 11,017 online news articles were classified and analysed using software-assisted text mining. Results point to promotion efforts, observability, and relative advantage as the most critical among a cluster list of 28 factors. This study contributes to the literature by identifying and describing the aspects of playing a role in the AV technologies diffusion. |
| URI: | https://doi.org/10.1504/IJATM.2022.126828 http://repositorio.ufla.br/jspui/handle/1/56372 |
| Aparece nas coleções: | DCC - Artigos publicados em periódicos |
Arquivos associados a este item:
Não existem arquivos associados a este item.
Os itens no repositório estão protegidos por copyright, com todos os direitos reservados, salvo quando é indicado o contrário.
Ferramentas do administrador