IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-032-23124-6_18.html

Risk Assessment of Technology Development Projects Under Uncertainty: Evaluation of Dry Coating Technology in Battery Cell Production

Author

Listed:
  • Miha Podbreznik

    (Fraunhofer Research Institution for Battery Cell Production FFB)

  • Tim Zeitz

    (Fraunhofer Research Institution for Battery Cell Production FFB)

  • Florian Degen

    (Fraunhofer Research Institution for Battery Cell Production FFB)

Abstract

Risk assessment in innovation and technology development projects is crucial. Yet, existing frameworks often fail to capture the complexities and uncertainties inherent in such projects. This paper introduces a novel framework tailored for technology development projects, integrating uncertainty through the Technology Risk Number (TRN), a metric quantified in Technology Risk Points (TRPs), ranging from 0 to 1260 TRPs. A higher TRN signifies greater risk, offering a standardized method for comparing technologies. The framework's applicability is demonstrated by assessing the risk of dry coating technology in battery cell production, resulting in a TRN of 336 TRPs within an uncertainty range of 140 to 672 TRPs. The analysis reveals balanced contributions from market, regulatory, competitive, and technological factors. This framework and its TRN metric provide an uncertainty-aware tool for evaluating and comparing the risk profiles of emerging technologies, thereby supporting informed decision-making.

Suggested Citation

  • Miha Podbreznik & Tim Zeitz & Florian Degen, 2026. "Risk Assessment of Technology Development Projects Under Uncertainty: Evaluation of Dry Coating Technology in Battery Cell Production," Springer Proceedings in Business and Economics,, Springer.
    • Handle: RePEc:spr:prbchp:978-3-032-23124-6_18
    DOI: 10.1007/978-3-032-23124-6_18
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:prbchp:978-3-032-23124-6_18. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.