Factors for diffusion of autonomous vehicles technology: text mining of online news

Submitted by Lorenza Monaco, UCL Institute for Innovation and Public Purpose on Tue, 01/24/2023 - 10:03
in

Publication Type:

Journal Article

Authors:

Silva, J. P. N.; Lima, P.D.O., Jr.; Grützmann, A.; Antunes, L.G.R.; Pedrosa, G.; Oliveira, C. C.; Sugano, J. Y.

Source:

International Journal of Automotive Technology and Management, Inderscience Publishers, Volume 22, Number 4, p.424-449 (2022)

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85142484311&doi=10.1504%2fijatm.2022.126828&partnerID=40&md5=ba13ec1196c778947a956faf580dd9ff

Keywords:

Autonomous vehicle technologies, autonomous vehicles, Classifieds, Data mining, Diffusion, Diffusion factor, Diffusion of Technology, News articles, Online medium, Online news, Technology diffusion, Text-mining

Abstract:

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. Copyright © 2022 Inderscience Enterprises Ltd.

Notes:

cited By 0

  • Share this

  GIS Gerpisa / gerpisa.org
  4 Avenue des Sciences, 91190 Gif-sur-Yvette

Copyright© Gerpisa
Concéption Tommaso Pardi
Administration Alexandra Kuyo, Lorenza Monaco,, 

Powered by Drupal, an open source content management system
randomness