IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitmx/v18y2021i03ns0219877021500048.html
   My bibliography  Save this article

A Business Model Taxonomy for Start-Ups in the Electric Power Industry — The Electrifying Effect of Artificial Intelligence on Business Model Innovation

Author

Listed:
  • Eduard Anton

    (Osnabrück University, Katharinenstraße 3, 49074 Osnabrück, Germany)

  • Thuy Duong Oesterreich

    (Osnabrück University, Katharinenstraße 3, 49074 Osnabrück, Germany)

  • Julian Schuir

    (Osnabrück University, Katharinenstraße 3, 49074 Osnabrück, Germany)

  • Leslie Protz

    (Osnabrück University, Katharinenstraße 3, 49074 Osnabrück, Germany)

  • Frank Teuteberg

    (Osnabrück University, Katharinenstraße 3, 49074 Osnabrück, Germany)

Abstract

Artificial intelligence (AI) serves as a technological driver for business model innovation by guiding decisions and automating services, thereby leveraging efficiency-enhancing and profitable business practices. Especially in the electric power industry, a multitude of start-ups have entered the market offering disruptive AI-based services. However, there has been little research to date on what concrete business models result from the diffusion of AI and how these might be classified. In view of this research gap, this paper contributes to a better understanding of start-ups in the electric power industry that use AI technologies by systematically developing a business model taxonomy. In addition, we conducted 12 semi-structured interviews with domain experts for the evaluation step and validated the robustness of the taxonomy based on cluster analysis to identify common business model archetypes. Finally, we derived and discussed the academic and practical implications of our research and highlighted future research avenues.

Suggested Citation

  • Eduard Anton & Thuy Duong Oesterreich & Julian Schuir & Leslie Protz & Frank Teuteberg, 2021. "A Business Model Taxonomy for Start-Ups in the Electric Power Industry — The Electrifying Effect of Artificial Intelligence on Business Model Innovation," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 1-54, May.
    • Handle: RePEc:wsi:ijitmx:v:18:y:2021:i:03:n:s0219877021500048
    DOI: 10.1142/S0219877021500048
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219877021500048
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219877021500048?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
    ---><---

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

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Fuentes, Rolando & Chen, Dongmei & Felder, Frank A., 2023. "Systematically mapping innovations in electricity using startups: A comprehensive database analysis," Technology in Society, Elsevier, vol. 74(C).
    2. Yong Qin & Zeshui Xu & Xinxin Wang & Marinko Skare, 2024. "Artificial Intelligence and Economic Development: An Evolutionary Investigation and Systematic Review," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1736-1770, March.

    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:wsi:ijitmx:v:18:y:2021:i:03:n:s0219877021500048. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitm/ijitm.shtml .

    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.