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dc.creatorSilva, João Paulo Nascimento-
dc.creatorLima Júnior, Paulo de Oliveira-
dc.creatorGrützmann, André-
dc.creatorAntunes, Luiz Guilherme R.-
dc.creatorPedrosa, Gabriel-
dc.creatorOliveira, Cledison Carlos-
dc.creatorSugano, Joel Yutaka-
dc.date.accessioned2023-03-28T18:33:04Z-
dc.date.available2023-03-28T18:33:04Z-
dc.date.issued2022-11-
dc.identifier.citationSILVA, 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.pt_BR
dc.identifier.urihttps://doi.org/10.1504/IJATM.2022.126828pt_BR
dc.identifier.urihttp://repositorio.ufla.br/jspui/handle/1/56372-
dc.description.abstractAutonomous 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.pt_BR
dc.languageenpt_BR
dc.publisherInderscience Enterprises Ltd.pt_BR
dc.rightsrestrictAccesspt_BR
dc.sourceInternational Journal of Automotive Technology and Managementpt_BR
dc.subjectAutonomous vehiclespt_BR
dc.subjectDiffusion of technologypt_BR
dc.subjectDiffusion factorspt_BR
dc.subjectText miningpt_BR
dc.subjectVeículos autônomospt_BR
dc.subjectDifusão de tecnologiapt_BR
dc.subjectFatores de difusãopt_BR
dc.subjectMineração de textospt_BR
dc.titleFactors for diffusion of autonomous vehicles technology: text mining of online newspt_BR
dc.typeArtigopt_BR
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