IDEAS home Printed from https://ideas.repec.org/a/ids/ijatma/v19y2019i1-2p31-54.html
   My bibliography  Save this article

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

Author

Listed:
  • Bruna Habib Cavazza
  • Rodrigo Marçal Gandia
  • Fabio Antonialli
  • André Luiz Zambalde
  • Isabelle Nicolaï
  • Joel Yutaka Sugano
  • Arthur De Miranda Neto

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," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 19(1/2), pages 31-54.
    • Handle: RePEc:ids:ijatma:v:19:y:2019:i:1/2:p:31-54
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=98509
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    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).

    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:ids:ijatma:v:19:y:2019:i:1/2:p:31-54. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=2 .

    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.