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AI-enabled information systems: Teaming up with intelligent agents in networked business

Author

Listed:
  • Peter Hofmann

    (University of Bayreuth
    appliedAI Initiative GmbH)

  • Nils Urbach

    (University of Bayreuth
    Frankfurt University of Applied Sciences
    Branch Business and Information Systems Engineering, Fraunhofer Institute for Applied Information Technology FIT)

  • Julia Lanzl

    (University of Bayreuth
    Chair of Digital Management, University of Hohenheim
    Branch Business and Information Systems Engineering, Fraunhofer Institute for Applied Information Technology FIT)

  • Kevin C. Desouza

    (Queensland University of Technology)

Abstract

No abstract is available for this item.

Suggested Citation

  • Peter Hofmann & Nils Urbach & Julia Lanzl & Kevin C. Desouza, 2024. "AI-enabled information systems: Teaming up with intelligent agents in networked business," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-8, December.
    • Handle: RePEc:spr:elmark:v:34:y:2024:i:1:d:10.1007_s12525-024-00734-y
    DOI: 10.1007/s12525-024-00734-y
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    References listed on IDEAS

    as
    1. Justina Sidlauskiene & Yannick Joye & Vilte Auruskeviciene, 2023. "AI-based chatbots in conversational commerce and their effects on product and price perceptions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.
    2. Diane Bailey & Samer Faraj & Pamela Hinds & Georg von Krogh & Paul Leonardi, 2019. "Special Issue of Organization Science: Emerging Technologies and Organizing," Organization Science, INFORMS, vol. 30(3), pages 642-646, May.
    3. Pinski, Marc & Hofmann, Thomas & Benlian, Alexander, 2024. "AI Literacy for the top management: An upper echelons perspective on corporate AI orientation and implementation ability," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 144321, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
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