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KI-Einsatz in Unternehmen in Deutschland: Strategische Ausrichtung und internationale Position

Author

Listed:
  • Rammer, Christian
  • Doherr, Thorsten
  • Kinne, Jan
  • Lenz, David

Abstract

No abstract is available for this item.

Suggested Citation

  • Rammer, Christian & Doherr, Thorsten & Kinne, Jan & Lenz, David, 2024. "KI-Einsatz in Unternehmen in Deutschland: Strategische Ausrichtung und internationale Position," ZEW Expertises, ZEW - Leibniz Centre for European Economic Research, number 303033.
    • Handle: RePEc:zbw:zewexp:303033
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    File URL: https://www.econstor.eu/bitstream/10419/303033/1/1902604814.pdf
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    References listed on IDEAS

    as
    1. Stefano Bianchini & Moritz Müller & Pierre Pelletier, 2022. "Artificial intelligence in science: An emerging general method of invention," Post-Print hal-03958025, HAL.
    2. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    3. Francesco Filippucci & Peter Gal & Cecilia Jona-Lasinio & Alvaro Leandro & Giuseppe Nicoletti, 2024. "The impact of Artificial Intelligence on productivity, distribution and growth: Key mechanisms, initial evidence and policy challenges," OECD Artificial Intelligence Papers 15, OECD Publishing.
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    Cited by:

    1. Muehlemann, Samuel, 2025. "Artificial intelligence adoption and workplace training," Journal of Economic Behavior & Organization, Elsevier, vol. 238(C).
    2. Kroeger Thilo & Schaffranka Claudia & Schnitzer Monika, 2025. "Strukturwandel in den Regionen: Was sich ändert und wie die Politik reagieren sollte," Wirtschaftsdienst, Paradigm, vol. 105(8), pages 546-553.
    3. Klimm, Johanna & Müller, Kathrin & Rößle, Felix, 2026. "Einsatzpotenziale von KI zur Lösung von Controlling-Fallstudien," Rosenheim Papers in Applied Economics and Business Sciences 13/2026, Rosenheim Technical University of Applied Sciences.

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