Ujházi Tamás – Lukovics Miklós – Majó-Petri Zoltán – Prónay Szabolcs (2023): Önvezető járművekkel szembeni fogyasztói preferenciák vizsgálata tényleges próbautat követően
Loading. Please, wait.
Ujházi Tamás – Lukovics Miklós – Majó-Petri Zoltán – Prónay Szabolcs (2023): Önvezető járművekkel szembeni fogyasztói preferenciák vizsgálata tényleges próbautat követően. In: Révész Balázs – Gyulai Zsófia (eds.): Reziliens Marketing - Válaszok változó kihívásokra. Szegedi Tudományegyetem Gazdaságtudományi Kar: Szeged. ISBN: 978-963-306-960-8 pp. 365–372. DOI:10.62561/EMOK-2023-29
DOI
https://doi.org/10.62561/EMOK-2023-29
Authors
- Tamás, Ujházi. Szegedi Tudományegyetem.
- Miklós, Lukovics. Szegedi Tudományegyetem.
- Zoltán, Majó-Petri. Szegedi Tudományegyetem.
- Szabolcs, Prónay. Szegedi Tudományegyetem.
Abstract
Measuring consumer preferences for self-driving vehicles after an actual test drive
Self-driving vehicles play a key role in more efficient and sustainable mobility solutions. We therefore see autonomous technology as a disruptive innovation whose social acceptance is crucial. As a result, there is a growing body of literature investigating the public acceptance of self-driving vehicles, where different acceptance models of technology acceptance are applied, such as the Unified Theory of Acceptance and Use of Technology (UTAUT). However, several researchers emphasize that the lack of real-life experience of people is a major problem in investigating consumer acceptance of self-driving vehicles using only questionnaire-based survey research. Furthermore, since self-driving vehicles are new products that are currently under development, they should be treated as such in consumer evaluation studies. To bridge this gap, we used a UTAUT-based full-profile conjoint analysis completed by 40 respondents who had experienced riding in a self-driving car. We found that safety is the most important factor for self-driving cars, followed by functional factors, and finally followed by subjective factors.
Autonomous vehicles Test ride Conjoint analysis
COM_DOCS_ACKNOWLEDGEMENTS
Product financed by the NRDI fund. Project ID: K137571 as part of K_21 OTKA tender
Language
hungarian
Details of publishing collection
Révész Balázs – Gyulai Zsófia (eds.) (2023): Reziliens Marketing - Válaszok változó kihívásokra. Szegedi Tudományegyetem Gazdaságtudományi Kar: Szeged. ISBN: 978-963-306-960-8 DOI:10.62561/EMOK-2023