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

Authors: Joao Paulo Nascimento Silva; Paulo de Oliveira Lima Júnior; André Grützmann; Luiz Guilherme R. Antunes; Gabriel Pedrosa; Cledison Carlos Oliveira; Joel Yutaka Sugano

Addresses: Department of Administration and Economics, Federal University of Lavras (UFLA), Aquenta Sol, Lavras, MG, 37200-000, Brazil ' Federal Center for Technological Education of Minas Gerais (CEFET Nepomuceno), Campus IX, Av. Monsenhor Luís de Gonzaga, 103, Centro, Nepomuceno - MG, 37250-000, Brazil ' Department of Administration and Economics, Federal University of Lavras (UFLA), Aquenta Sol, Lavras, MG, 37200-000, Brazil ' School of Economics, Administration and Accounting, University of São Paulo (FEA/USP), Av. Prof. Luciano Gualberto, 908 – Butantã, São Paulo/SP, CEP 05508-010, Brazil ' Department of Marketing, Escola Superior de Tecnologia e Gestão, Politécnico de Leiria, Campus 2, Morro do Lena, Alto do Vieiro, Apt. 4163, Edifício D, 2411-901 Leiria, Portugal ' Department of Administration and Economics, Federal University of Lavras (UFLA), Aquenta Sol, Lavras, MG, 37200-000, Brazil ' Department of Administration and Economics, Federal University of Lavras (UFLA), Aquenta Sol, Lavras, MG, 37200-000, Brazil

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.

Keywords: autonomous vehicles; diffusion of technology; diffusion factors; text mining.

DOI: 10.1504/IJATM.2022.126828

International Journal of Automotive Technology and Management, 2022 Vol.22 No.4, pp.424 - 449

Received: 19 Aug 2021
Accepted: 11 Jan 2022
Published online: 08 Nov 2022 *

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