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Investigating the factors influencing the acceptance of fully autonomous cars

In: Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 23

Author

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  • Benleulmi, Ahmed Ziad
  • Blecker, Thorsten

Abstract

Once thought of as a product of science fiction, self-driving cars are discussed today as an unavoidable means towards improving transportation systems. In fact, many car manufacturers have announced their plans to deploy highly autonomous cars as soon as 2020; according to the Society of Automotive Engineers (SAE) these vehicles are capable of reacting 'even if the human driver does not respond appropriately to the request to intervene (SAE level 4)'. There is however a long way to go before fully autonomous cars (SAE level 5) - where pedals and steering wheels are forgone and limitations to driving during severe weather or in unmapped areas are surmounted - are produced. Herein, the overall aim is to study the drivers and inhibitors of autonomous cars' acceptance across cultures with a special focus on the different risks that might deter consumers from using highly and/or fully autonomous cars. After an extensive reviewing of previous works, a research model based on UTAUT2 was developed and accordingly an online survey was conducted in the US and in Germany; 313 valid answers were collected and analyzed. The findings presented here have serious implications both on the academic field as well as the industry, especially in regards to the roles that risks, culture and gender play in the acceptance of fully autonomous cars.

Suggested Citation

  • Benleulmi, Ahmed Ziad & Blecker, Thorsten, 2017. "Investigating the factors influencing the acceptance of fully autonomous cars," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Digitalization in Supply Chain Management and Logistics: Smart and Digital Solutions for an Industry 4.0 Environment. Proceedings of the Hamburg Inter, volume 23, pages 99-115, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    • Handle: RePEc:zbw:hiclch:209304
    DOI: 10.15480/882.1449
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    References listed on IDEAS

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    Cited by:

    1. Kenesei, Zsófia & Ásványi, Katalin & Kökény, László & Jászberényi, Melinda & Miskolczi, Márk & Gyulavári, Tamás & Syahrivar, Jhanghiz, 2022. "Trust and perceived risk: How different manifestations affect the adoption of autonomous vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 164(C), pages 379-393.
    2. Xing, Yan & Handy, Susan & Circella, Giovanni & Wang, Yunshi & Alemi, Farzad, 2020. "Exploring the Role of Attitude in the Acceptance of Self-driving Shuttles," Institute of Transportation Studies, Working Paper Series qt1509n72d, Institute of Transportation Studies, UC Davis.
    3. Yoo, Sunbin & Kumagai, Junya & Kawabata, Yuta & Keeley, Alexander & Managi, Shunsuke, 2021. "Willingness to Buy and/or Pay Disparity: Evidence from Fully Autonomous Vehicles," MPRA Paper 108882, University Library of Munich, Germany.
    4. Maghrour Zefreh, Mohammad & Edries, Belal & Esztergár-Kiss, Domokos, 2023. "Understanding the antecedents of hedonic motivation in autonomous vehicle technology acceptance domain: A cross-country analysis," Technology in Society, Elsevier, vol. 74(C).
    5. Cylwik Stefan & Gabryelczyk Renata & Chlebus Marcin, 2020. "Ridesharing in the Polish Experience: A Study using Unified Theory of Acceptance and Use of Technology," Central European Economic Journal, Sciendo, vol. 7(54), pages 279-299, January.
    6. Zhao, Xiaoyun & Susilo, Yusak O. & Pernestål, Anna, 2022. "The dynamic and long-term changes of automated bus service adoption," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 450-463.
    7. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).

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