IDEAS home Printed from https://ideas.repec.org/p/hal/journl/hal-01652845.html
   My bibliography  Save this paper

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
    as

    Download full text from publisher

    File URL: https://centralesupelec.hal.science/hal-01652845/document
    Download Restriction: no
    ---><---

    Other versions of this item:

    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.
    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. 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.

    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. Skeete, Jean-Paul, 2018. "Level 5 autonomy: The new face of disruption in road transport," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 22-34.
    2. Woo, Seokkyun & Youtie, Jan & Ott, Ingrid & Scheu, Fenja, 2021. "Understanding the long-term emergence of autonomous vehicles technologies," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    3. Fabio Antonialli & Bruna Habib Cavazza & Rodrigo Gandia & Isabelle Nicolaï & Arthur de Miranda Neto & Joel Sugano & André Luiz Zambalde, 2020. "Human or machine driving? Comparing autonomous with traditional vehicles value curves and motives to use a car," Post-Print halshs-03687616, HAL.
    4. Weina Qu & Hongli Sun & Yan Ge, 2021. "The effects of trait anxiety and the big five personality traits on self-driving car acceptance," Transportation, Springer, vol. 48(5), pages 2663-2679, October.
    5. Saeed, Tariq Usman & Burris, Mark W. & Labi, Samuel & Sinha, Kumares C., 2020. "An empirical discourse on forecasting the use of autonomous vehicles using consumers’ preferences," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    6. Jinhyo Joseph Yun & Xiaofei Zhao & KyungBae Park & Lei Shi, 2020. "Sustainability Condition of Open Innovation: Dynamic Growth of Alibaba from SME to Large Enterprise," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
    7. Ta-Kai Yang & Min-Ren Yan, 2019. "Exploring the Enablers of Strategic Orientation for Technology-Driven Business Innovation Ecosystems," Sustainability, MDPI, vol. 11(20), pages 1-19, October.
    8. Suh, Yongyoon & Jeon, Jeonghwan, 2019. "Monitoring patterns of open innovation using the patent-based brokerage analysis," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 595-605.
    9. Liu, Peng & Zhang, Yawen & He, Zhen, 2019. "The effect of population age on the acceptable safety of self-driving vehicles," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 341-347.
    10. Pel, Bonno & Raven, Rob & van Est, Rinie, 2020. "Transitions governance with a sense of direction: synchronization challenges in the case of the dutch ‘Driverless Car’ transition," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    11. Apostolidis, Chrysostomos & Devine, Anthony & Jabbar, Abdul, 2022. "From chalk to clicks – The impact of (rapid) technology adoption on employee emotions in the higher education sector," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    12. Yun, JinHyo Joseph & Won, DongKyu & Park, KyungBae & Jeong, EuiSeob & Zhao, Xiaofei, 2019. "The role of a business model in market growth: The difference between the converted industry and the emerging industry," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 534-562.
    13. Kim, Hyunuk & Ahn, Sang-Jin & Jung, Woo-Sung, 2019. "Horizon scanning in policy research database with a probabilistic topic model," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 588-594.
    14. Rodrigo Marçal Gandia & Ricardo Braga & Fabio Antonialli & Bruna Habib Cavazza & Joel Yutaka Sugano & Cleber Castro & André Luiz Zambalde & Arthur Miranda Neto & Isabelle Nicolaï, 2017. "The quintuple helix model and the future of mobility: The case of autonomous vehicles," Post-Print hal-01652925, HAL.
    15. Schweitzer, Nicola & Hofmann, Rupert & Meinheit, Andreas, 2019. "Strategic customer foresight: From research to strategic decision-making using the example of highly automated vehicles," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 49-65.
    16. Wang, En-Ze & Lee, Chien-Chiang & Li, Yaya, 2022. "Assessing the impact of industrial robots on manufacturing energy intensity in 38 countries," Energy Economics, Elsevier, vol. 105(C).
    17. Miaomiao Shen & Linxuan Yu & Jing Xu & Zihao Sang & Ruijia Li & Xiang Yuan, 2024. "Shaping the Future of Urban Mobility: Insights into Autonomous Vehicle Acceptance in Shanghai Through TAM and Perceived Risk Analysis," Papers 2405.05578, arXiv.org.
    18. Yongyoon Suh & Yongtae Park, 2018. "Identifying and structuring service functions of mobile applications in Google’s Android Market," Information Systems and e-Business Management, Springer, vol. 16(2), pages 383-406, May.
    19. Asrar Ahmed Sabir & Iftikhar Ahmad & Hassan Ahmad & Muhammad Rafiq & Muhammad Asghar Khan & Neelum Noreen, 2023. "Consumer Acceptance and Adoption of AI Robo-Advisors in Fintech Industry," Mathematics, MDPI, vol. 11(6), pages 1-24, March.
    20. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).

    More about this item

    Keywords

    Bibliometric Review; Systematic Integrative Review; Management; Autonomous Vehicles; Business model design;
    All these keywords.

    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:hal:journl:hal-01652845. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.