What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective
| Autor: | Lutz M. Kolbe, Alfred Benedikt Brendel, Bernd Herrenkind, Mauricio Marrone, Ilja Nastjuk |
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| Rok vydání: | 2020 |
| Předmět: |
Ecological footprint
Knowledge management business.industry End user Computer science 020209 energy media_common.quotation_subject 05 social sciences 02 engineering and technology Body of knowledge Traffic congestion Management of Technology and Innovation Perception 11. Sustainability 0502 economics and business 0202 electrical engineering electronic engineering information engineering Technology acceptance model Business and International Management business 050203 business & management Applied Psychology Qualitative research Social influence media_common |
| Zdroj: | Technological Forecasting and Social Change. 161:120319 |
| ISSN: | 0040-1625 |
| DOI: | 10.1016/j.techfore.2020.120319 |
| Popis: | Autonomous driving is believed to provide numerous benefits for individuals and society, including increased road safety, reduced traffic congestion, and an improved ecological footprint. However, many barriers still hinder the widespread acceptance of autonomous vehicles. Research has proposed governmental policy strategies to accelerate the diffusion of autonomous driving, but less is known about end-user perceptions of this innovative technology. First, we employ a qualitative research design to identify the elements attributed to individual acceptance of autonomous driving. Furthermore, we organize a research model based on the technology acceptance model, validated with an online survey of 316 participants. The findings reveal how social influence, system characteristics, and individual factors determine individual acceptance of autonomous driving. The research helps to strengthen the existing body of knowledge by highlighting individual perceptions, with implications for practitioners. |
| Databáze: | OpenAIRE |
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