IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2108.01615.html
   My bibliography  Save this paper

Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intentions to Use Autonomous Vehicles

Author

Listed:
  • Maher Said
  • Emma R. Zajdela
  • Amanda Stathopoulos

Abstract

One of the most notable global transportation trends is the accelerated pace of development in vehicle automation technologies. Uncertainty surrounds the future of automated mobility as there is no clear consensus on potential adoption patterns, ownership versus shared use status and travel impacts. Adding to this uncertainty is the impact of the COVID-19 pandemic that has triggered profound changes in mobility behaviors as well as accelerated adoption of new technologies at an unprecedented rate. Accordingly, this study examines the impact of the COVID-19 pandemic on willingness to adopt the emerging technology of autonomous vehicles (AVs). Using data from a survey disseminated in June 2020 to 700 respondents in the United States, we perform a difference-in-difference regression to analyze the shift in willingness to use autonomous vehicles as part of a shared fleet before and during the pandemic. The results reveal that the COVID-19 pandemic has a positive and highly significant impact on the consideration of using autonomous vehicles. This shift is present regardless of tech-savviness, gender or urban/rural household location. Individuals who are younger, left-leaning and frequent users of shared modes of travel are expected to become more likely to use autonomous vehicles once offered. Understanding the effects of these attributes on the increase in consideration of AVs is important for policy making, as these effects provide a guide to predicting adoption of autonomous vehicles - once available - and to identify segments of the population likely to be more resistant to adopting AVs.

Suggested Citation

  • Maher Said & Emma R. Zajdela & Amanda Stathopoulos, 2021. "Accelerating the Adoption of Disruptive Technologies: The Impact of COVID-19 on Intentions to Use Autonomous Vehicles," Papers 2108.01615, arXiv.org, revised Dec 2021.
    • Handle: RePEc:arx:papers:2108.01615
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2108.01615
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mohamed Alawadhi & Jumah Almazrouie & Mohammed Kamil & Khalil Abdelrazek Khalil, 2020. "A systematic literature review of the factors influencing the adoption of autonomous driving," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(6), pages 1065-1082, December.
    2. Greene,William H. & Hensher,David A., 2010. "Modeling Ordered Choices," Cambridge Books, Cambridge University Press, number 9780521194204.
    3. Angel Belzunegui-Eraso & Amaya Erro-Garcés, 2020. "Teleworking in the Context of the Covid-19 Crisis," Sustainability, MDPI, vol. 12(9), pages 1-18, May.
    4. Brem, Alexander & Viardot, Eric & Nylund, Petra A., 2021. "Implications of the coronavirus (COVID-19) outbreak for innovation: Which technologies will improve our lives?," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    5. Smith, Nicholas A. & Sabat, Isaac E. & Martinez, Larry R. & Weaver, Kayla & Xu, Shi, 2015. "A Convenient Solution: Using MTurk To Sample From Hard-To-Reach Populations," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(2), pages 220-228, June.
    6. Kapser, Sebastian & Abdelrahman, Mahmoud & Bernecker, Tobias, 2021. "Autonomous delivery vehicles to fight the spread of Covid-19 – How do men and women differ in their acceptance?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 148(C), pages 183-198.
    7. Ozili, Peterson & Arun, Thankom, 2020. "Spillover of COVID-19: Impact on the Global Economy," MPRA Paper 99317, University Library of Munich, Germany.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Gibson, Samantha & Hsu, Maxwell K. & Zhou, Xing, 2022. "Convenience stores in the digital age: A focus on the customer experience and revisit intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. de la Torre-Ruiz, José Manuel & Ferrón-Vílchez, Vera, 2024. "Determinants of managerial perceptions of the impact of telework: The effect of information communication technology support, trust, and frequency of communication," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    2. Prodanova, Jana & Kocarev, Ljupco, 2021. "Is job performance conditioned by work-from-home demands and resources?," Technology in Society, Elsevier, vol. 66(C).
    3. Lewkowicz, Jacek & Woźniak, Michał & Wrzesiński, Michał, 2022. "COVID-19 and erosion of democracy," Economic Modelling, Elsevier, vol. 106(C).
    4. Bouteska, Ahmed & Sharif, Taimur & Abedin, Mohammad Zoynul, 2023. "COVID-19 and stock returns: Evidence from the Markov switching dependence approach," Research in International Business and Finance, Elsevier, vol. 64(C).
    5. Farzami, Yasmine & Gregory-Allen, Russell & Molchanov, Alexander & Sehrish, Saba, 2021. "COVID-19 and the liquidity network," Finance Research Letters, Elsevier, vol. 42(C).
    6. An, Wookhyun & Alarcón, Silverio, 2021. "Rural tourism preferences in Spain: Best-worst choices," Annals of Tourism Research, Elsevier, vol. 89(C).
    7. Stefan Boes, 2013. "Nonparametric analysis of treatment effects in ordered response models," Empirical Economics, Springer, vol. 44(1), pages 81-109, February.
    8. de Palma, André & Vosough, Shaghayegh & Liao, Feixiong, 2022. "An overview of effects of COVID-19 on mobility and lifestyle: 18 months since the outbreak," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 372-397.
    9. Juan Pablo Gama & Rodrigo J. Raad, 2023. "Large public expenditure shocks in a Ramsey taxation model with default," Textos para Discussão Cedeplar-UFMG 665, Cedeplar, Universidade Federal de Minas Gerais.
    10. William H. Greene & Mark N. Harris & Rachel J. Knott & Nigel Rice, 2021. "Specification and testing of hierarchical ordered response models with anchoring vignettes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 184(1), pages 31-64, January.
    11. Hanna Dudek & Joanna Landmesser, 2012. "Income satisfaction and relative deprivation," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 13(2), pages 321-334, June.
    12. Das, Ujjwal & Das, Kalyan, 2018. "Inference on zero inflated ordinal models with semiparametric link," Computational Statistics & Data Analysis, Elsevier, vol. 128(C), pages 104-115.
    13. Chopdar, Prasanta Kr & Paul, Justin & Prodanova, Jana, 2022. "Mobile shoppers’ response to Covid-19 phobia, pessimism and smartphone addiction: Does social influence matter?," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    14. Andrew Powell & Pilar Tavella, 2012. "Capital Inflow Surges in Emerging Economies: How Worried Should LAC Be?," Research Department Publications 4782, Inter-American Development Bank, Research Department.
    15. Anthony Wakwe Lawrence & Damiete Onyema Lawrence, 2023. "Impacts of COVID-19 Pandemic on Sustainability/Survivability of Micro/Small Sized Businesses in Nigeria," International Journal of Business and Management, Canadian Center of Science and Education, vol. 16(9), pages 1-1, February.
    16. Pavla Vrabcová & Hana Urbancová, 2021. "Use of human resources information system in agricultural companies in the Czech Republic," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(5), pages 173-180.
    17. Kaili Wang & Sanjana Hossain & Khandker Nurul Habib, 2022. "A hybrid data fusion methodology for household travel surveys to reduce proxy biases and under-representation of specific sub-group of population," Transportation, Springer, vol. 49(6), pages 1801-1836, December.
    18. Nurudeen Abu & Awadh Ahmed Mohammed Gamal & Musa Abdullahi Sakanko & Ana Mateen & David Joseph & Ben-Obi Onyewuchi Amaechi, 2021. "How have COVID-19 Confirmed Cases and Deaths Affected Stock Markets? Evidence from Nigeria," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 15(1), February.
    19. Ghimire, Ramesh & Green, Gary T. & Paudel, Krishna P. & Poudyal, Neelam C. & Cordell, H. Ken, 2017. "Visitors' Preferences for Freshwater Amenity Characteristics: Implications from the U.S. Household Survey," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(1), pages 1-24, January.
    20. Chappell, Henry W. & McGregor, Rob Roy, 2018. "Committee decision-making at Sweden's Riksbank," European Journal of Political Economy, Elsevier, vol. 53(C), pages 120-133.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2108.01615. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.