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Management and business of autonomous vehicles: a systematic integrative bibliographic review

Author

Listed:
  • Bruna Habib Cavazza

    (UFLA - Universidade Federal de Lavras = Federal University of Lavras)

  • Rodrigo Marçal Gandia

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Fabio Antonialli

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec, UFLA - Universidade Federal de Lavras = Federal University of Lavras)

  • André Luiz Zambalde

    (UFLA - Universidade Federal de Lavras = Federal University of Lavras)

  • Isabelle Nicolaï

    (LGI - Laboratoire Génie Industriel - EA 2606 - CentraleSupélec)

  • Joel Yutaka Sugano

    (UFLA - Universidade Federal de Lavras = Federal University of Lavras)

  • Arthur de Miranda Neto

    (UFLA - Universidade Federal de Lavras = Federal University of Lavras)

Abstract

This paper reviews the management and business research field of autonomous vehicles (AVs) in a bibliometric context aiming to identify strategies, practices, and management tools; and summarises the existing studies and highlight research gaps. Methodologically, the study is qualitative and descriptive, based on a bibliometric review on Web of Science, Scopus, and Science Direct, followed by a systematic integrative review. Results show that, in the near future, AVs will certainly be introduced in the society. However, such insertion is still surrounded by uncertainties, doubled by governments' lack of planning. The absence of business-related studies can be a determinant for AVs introduction, once business models (BM) play an important for AVs advancement. Nevertheless, especially in Europe, studies related to AVs ‘car-sharing' seem to be predominant. As such, we observe a research gap regarding BM and platforms and radical and responsible innovation theories.

Suggested Citation

  • Bruna Habib Cavazza & Rodrigo Marçal Gandia & Fabio Antonialli & André Luiz Zambalde & Isabelle Nicolaï & Joel Yutaka Sugano & Arthur de Miranda Neto, 2019. "Management and business of autonomous vehicles: a systematic integrative bibliographic review," Post-Print hal-02489999, HAL.
    • Handle: RePEc:hal:journl:hal-02489999
    DOI: 10.1504/ijatm.2019.10019845
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    References listed on IDEAS

    as
    1. Yun, JinHyo Joseph & Won, DongKyu & Jeong, EuiSeob & Park, KyungBae & Yang, JeongHo & Park, JiYoung, 2016. "The relationship between technology, business model, and market in autonomous car and intelligent robot industries," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 142-155.
    2. Hohenberger, Christoph & Spörrle, Matthias & Welpe, Isabell M., 2017. "Not fearless, but self-enhanced: The effects of anxiety on the willingness to use autonomous cars depend on individual levels of self-enhancement," Technological Forecasting and Social Change, Elsevier, vol. 116(C), pages 40-52.
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    Cited by:

    1. Rodrigo Marçal Gandia & Fabio Antonialli & Bruna Habib Cavazza & Arthur Miranda Neto & Danilo Alves de Lima & Joel Yutaka Sugano & Isabelle Nicolai & Andre Luiz Zambalde, 2019. "Autonomous vehicles: scientometric and bibliometric review," Transport Reviews, Taylor & Francis Journals, vol. 39(1), pages 9-28, January.
    2. Amalia Polydoropoulou & Ioannis Tsouros & Nikolas Thomopoulos & Cristina Pronello & Arnór Elvarsson & Haraldur Sigþórsson & Nima Dadashzadeh & Kristina Stojmenova & Jaka Sodnik & Stelios Neophytou & D, 2021. "Who Is Willing to Share Their AV? Insights about Gender Differences among Seven Countries," Sustainability, MDPI, vol. 13(9), pages 1-19, April.
    3. Fabio Antonialli & Danielle Attias, 2019. "Social and economic impacts of Autonomous Shuttles for Collective Transport: an in- depth benchmark study," Post-Print hal-02489808, HAL.

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