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Lohnt sich Microsoft 365 Copilot? Eine Potenzialanalyse für Unternehmen und Bildungseinrichtungen

Author

Listed:
  • Becker, Dominik
  • Deck, Luca
  • Feulner, Simon
  • Gutheil, Niklas
  • Schüll, Moritz
  • Decker, Stefan
  • Eymann, Torsten
  • Gimpel, Henner
  • Pippow, Andreas
  • Röglinger, Maximilian
  • Urbach, Nils

Abstract

Microsoft 365 Copilot ist ein innovatives KI-gestütztes Tool, das Unternehmen und Bildungseinrichtungen bei der Steigerung ihrer Effizienz und Produktivität unterstützen kann. Ist das sinnvoll? Wo genau liegen die Potentiale? Lohnt sich der Einsatz? Damit befasst sich diese Studie. Die Studie gibt einen Überblick zu generativen Chatbots wie Microsoft 365 Copilot und ordnet zentrale Begriffe ein. Die Analyse befasst sich mit den notwendigen Schritten vor der Implementierung, einschließlich der Beschaffung, internen Kosten-Nutzen-Abwägungen und datenschutzrechtlichen Aspekten. Im weiteren Verlauf werden die verschiedenen Anwendungen und Funktionalitäten von Microsoft 365 Copilot detailliert betrachtet, darunter Microsoft Teams, Outlook, Word, PowerPoint, Excel, Forms, Power Automate und Whiteboard. Jedes Kapitel beschreibt spezifische Features und wie diese zur Optimierung von Arbeitsabläufen beitragen können. Zudem werden Grenzen der Anwendungen aufgezeigt. Abschließend bietet die Studie fundierte Handlungssempfehlungen und praktische Hinweise zur Nutzung von Microsoft 365 Copilot, einschließlich hilfreicher Prompts für verschiedene OfficeProgramme. Diese umfassende Analyse soll Entscheidungsträgern helfen, die Vorteile und Grenzen von Microsoft 365 Copilot zu erkennen und fundierte Hahdlungsmaßnahmen abzuleiten, um die digitale Transformation ihrer Organisationen voranzutreiben. Mit dieser Studie leisten wir einen Beitrag zur Diskussion über die Integration von KI in den Arbeitsalltag und deren Auswirkungen auf die Effizienz und Zusammenarbeit in Unternehmen und Bildungseinrichtungen.

Suggested Citation

  • Becker, Dominik & Deck, Luca & Feulner, Simon & Gutheil, Niklas & Schüll, Moritz & Decker, Stefan & Eymann, Torsten & Gimpel, Henner & Pippow, Andreas & Röglinger, Maximilian & Urbach, Nils, 2024. "Lohnt sich Microsoft 365 Copilot? Eine Potenzialanalyse für Unternehmen und Bildungseinrichtungen," Bayreuth Reports on Information Systems Management 72, University of Bayreuth, Chair of Information Systems Management.
    • Handle: RePEc:zbw:bayism:304391
    DOI: 10.5281/zenodo.13859937
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    References listed on IDEAS

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    1. Tyna Eloundou & Sam Manning & Pamela Mishkin & Daniel Rock, 2023. "GPTs are GPTs: An Early Look at the Labor Market Impact Potential of Large Language Models," Papers 2303.10130, arXiv.org, revised Aug 2023.
    2. Erik Brynjolfsson & Danielle Li & Lindsey Raymond, 2023. "Generative AI at Work," Papers 2304.11771, arXiv.org, revised Nov 2024.
    3. Gimpel, Henner & Hall, Kristina & Decker, Stefan & Eymann, Torsten & Lämmermann, Luis & Mädche, Alexander & Röglinger, Maximilian & Ruiner, Caroline & Schoch, Manfred & Schoop, Mareike & Urbach, Nils , 2023. "Unlocking the power of generative AI models and systems such as GPT-4 and ChatGPT for higher education: A guide for students and lecturers," Hohenheim Discussion Papers in Business, Economics and Social Sciences 02-2023, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    4. Gmyrek, Pawel, & Berg, Janine, & Bescond, David,, 2023. "Generative AI and jobs a global analysis of potential effects on job quantity and quality," ILO Working Papers 995324892702676, International Labour Organization.
    5. Laura Nurski & Nina Ruer, 2024. "Exposure to generative artificial intelligence in the European labour market," Bruegel Working Papers node_9794, Bruegel.
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    Keywords

    Microsoft Copilot; Künstliche Intelligenz; Generative KI; LLM Agent;
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