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Examination of trust and sustainability concerns in autonomous vehicle adoption

Author

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  • Dirsehan, Taşkın
  • Can, Ceren

Abstract

The latest developments regarding autonomous vehicles (AVs) have drawn the attention of tech-savvy individuals and marketers. AVs are expected to cause a major change in the markets of vehicle selling, transportation and logistics. Therefore, it is crucial to understand consumer acceptance so that the companies in these markets can develop their penetration strategies accordingly and technology companies can shape their technology development strategies. This study aims to examine individuals' adoption attitudes toward AVs by considering trust and sustainability concerns. This was achieved by expanding the technology acceptance model (TAM). A survey of 391 participants was conducted and the data were analyzed using structural equation modeling (SEM). The results confirmed previous technology acceptance models by showing the relationships between perceived usefulness, perceived ease of use, and behavioral intention. Moreover, the direct and indirect effects of trust on behavioral intention were also shown. This study provides evidence to extend the TAM to the adoption of AVs by uncovering individuals’ sustainability concerns.

Suggested Citation

  • Dirsehan, Taşkın & Can, Ceren, 2020. "Examination of trust and sustainability concerns in autonomous vehicle adoption," Technology in Society, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20301585
    DOI: 10.1016/j.techsoc.2020.101361
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    References listed on IDEAS

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    1. Rice, Stephen & Winter, Scott R., 2019. "Do gender and age affect willingness to ride in driverless vehicles: If so, then why?," Technology in Society, Elsevier, vol. 58(C).
    2. Hazel Si Min Lim & Araz Taeihagh, 2018. "Autonomous Vehicles for Smart and Sustainable Cities: An In-Depth Exploration of Privacy and Cybersecurity Implications," Energies, MDPI, vol. 11(5), pages 1-23, April.
    3. Fagnant, Daniel J. & Kockelman, Kara, 2015. "Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 167-181.
    4. Farahwahida Mohd & Faudzi Ahmad & Norsila Samsudin & Suhizaz Sudin, 2011. "Extending the Technology Acceptance Model to Account for Social Influence, Trust and Integration for Pervasive Computing Environment: A Case Study in University Industry," American Journal of Economics and Business Administration, Science Publications, vol. 3(3), pages 552-559, November.
    5. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    6. Chege, Samwel Macharia & Wang, Daoping & Suntu, Shaldon Leparan & Bishoge, Obadia Kyetuza, 2019. "Influence of technology transfer on performance and sustainability of standard gauge railway in developing countries," Technology in Society, Elsevier, vol. 56(C), pages 79-92.
    7. Marinakis, Vangelis & Doukas, Haris & Karakosta, Charikleia & Psarras, John, 2013. "An integrated system for buildings’ energy-efficient automation: Application in the tertiary sector," Applied Energy, Elsevier, vol. 101(C), pages 6-14.
    8. Liang, Xiao & Correia, Gonçalo Homem de Almeida & van Arem, Bart, 2016. "Optimizing the service area and trip selection of an electric automated taxi system used for the last mile of train trips," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 115-129.
    9. Wadud, Zia & MacKenzie, Don & Leiby, Paul, 2016. "Help or hindrance? The travel, energy and carbon impacts of highly automated vehicles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 86(C), pages 1-18.
    10. Sheppard, Blair H & Hartwick, Jon & Warshaw, Paul R, 1988. "The Theory of Reasoned Action: A Meta-analysis of Past Research with Recommendations for Modifications and Future Research," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(3), pages 325-343, December.
    11. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
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