IDEAS home Printed from https://ideas.repec.org/a/epw/ejbmr0/v10y2025i4id52664.html

A Conceptual System Dynamics Model of Fuel Cell Electric Vehicle Adoption in Indonesia

Author

Listed:
  • Yuwono Prio Pamungkas

    (University of Indonesia, Indonesia)

  • Andri Dwi Setiawan

    (University of Indonesia, Indonesia)

Abstract

The transition to a sustainable transportation system requires a comprehensive understanding of technology, policy, and market behaviour dynamics. Fuel Cell Electric Vehicle (FCEV) has emerged as one of the new potential solutions with its characteristics of low emissions, high efficiency, and short refuelling time. However, FCEV adoption in the world, moreover in Indonesia, is still very limited due to structural challenges such as high costs, lack of hydrogen infrastructure, and low public awareness. This study explores the system structure that influences FCEV adoption in Indonesia using the System Dynamics approach. This study focuses on developing system diagrams and causal loop diagrams (CLD) as conceptual representations of complex systems. The modelling process is carried out through actor analysis, identification of key variables, and compilation of cause-and-effect relationships that form feedback loops. The modelling results show a significant influence of fiscal policy, infrastructure readiness, and consumer perceptions on the dynamics of FCEV adoption. This model provides a strong conceptual foundation to support the formulation of system-based policies in accelerating FCEV penetration in Indonesia, as well as being the initial stage for the development of dynamic models based on policy scenarios.

Suggested Citation

  • Yuwono Prio Pamungkas & Andri Dwi Setiawan, 2025. "A Conceptual System Dynamics Model of Fuel Cell Electric Vehicle Adoption in Indonesia," European Journal of Business and Management Research, European Open Science, vol. 10(4), pages 159-166, July.
  • Handle: RePEc:epw:ejbmr0:v:10:y:2025:i:4:id:52664
    DOI: 10.24018/ejbmr.2025.10.4.2664
    as

    Download full text from publisher

    File URL: https://eu-opensci.org/index.php/ejbmr/article/view/52664
    File Function: Abstract page
    Download Restriction: no

    File URL: https://eu-opensci.org/index.php/ejbmr/article/download/52664/8680
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.24018/ejbmr.2025.10.4.2664?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:epw:ejbmr0:v:10:y:2025:i:4:id:52664. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/ejbmr .

    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.