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Management and Business of Autonomous Vehicles: A Systematic Integrative Bibliographic Review

Author

Listed:
  • Bruna Habib Brunacavazza@gmail.Com Cavazza

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

  • Rodrigo Marçal Gandia

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

  • Fabio Antonialli

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

  • Isabelle Nicolaï

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

  • André Luiz Zambalde

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

  • 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 aims at characterizing the Autonomous Vehicles (AVs) research field in the areas of management and business in its bibliometric context; identifying strategies, practices and management tools specified in the scope of the investigated publications; summarizing existing evidence, pointing to gaps within this study area. Methodologically, the research is characterized as qualitative and descriptive, drawn by a bibliometric review on the databases; ISI Web of Science, Scopus and Science Direct, followed by a systematic integrative bibliographic review. All the titles and abstracts of the identified articles were analyzed allowing for a research refinement, adopting the exclusion criteria for; a) duplicates; b) not obtained references; and c) misaligned references. The main results pointed out that, in the near future AVs will certainly be inserted in our society, however the way in which this innovation might be established is still surrounded by uncertainties, impacting directly on governments' lack of planning for such arrival (Guerra, 2016). The absence of work related to the business area can be a driving factor, considering that business models plays an extremely important role in the events that precede the AVs' advancement (Yun et al., 2016). Nevertheless, among the analyzed papers, a studies' trend is highlighted, especially in European countries (e. g. U.K. and Germany), related to AVs' business model of " car-sharing " (Zakharenko, 2016; Geldmacher, 2016); presenting such as a great substitute for traditional transportation models (cars, taxis and buses) (Enoch, 2015). In this way, it was observed a study gap related to business models and platforms, radical and responsible innovation theories, in order to minimize the risks, impacts and uncertainties of the eminent arrival of AVs and provide the necessary tools to guide governmental and organizational spheres.

Suggested Citation

  • Bruna Habib Brunacavazza@gmail.Com Cavazza & Rodrigo Marçal Gandia & Fabio Antonialli & Isabelle Nicolaï & André Luiz Zambalde & Joel Yutaka Sugano & Arthur de Miranda Neto, 2017. "Management and Business of Autonomous Vehicles: A Systematic Integrative Bibliographic Review," Post-Print hal-01652845, HAL.
    • Handle: RePEc:hal:journl:hal-01652845
    Note: View the original document on HAL open archive server: https://centralesupelec.hal.science/hal-01652845
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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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    Keywords

    Bibliometric Review; Systematic Integrative Review; Management; Autonomous Vehicles; Business model design;
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