Publikationen

Gesamtübersicht KI-Publikationen

• Fechner, P., Lämmermann, L., Lockl, J., Röglinger M. and Urbach, N. (2026) Toward Triadic Delegation: How Agentic IS Artifacts Affect the Patient-Doctor Relationship in Healthcare, Journal of the Association for Information Systems (JAIS), 26, 6, 1703-1736. (Link)

• Hofmann, P., Jöhnk, J. Protschky, D., Buck, C., Stähle, P. and Urbach, N. (2026) Identifying Artificial Intelligence Use Cases: Toward a Method that Facilitates Garbage Can Innovation Processes, Information & Management, 63, 1, 104261. (Link)

• Banh, L., Rex, A., Strobel, G. and Urbach, N. (2026) Hiring Tomorrow’s Talents: How Generative Artificial Intelligence Transforms Human Resources Recruitment, Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS-59), January 6-9, Maui, Hawaii. (Link)

• Urbach, N. and Feulner, D. (2026) Managing Artificial Intelligence – How organizations succeed with AI, Springer, Heidelberg. (Link)

• Gimpel, H., Hall, K., Decker, S., Eymann, T., Gutheil, N., Lämmermann, L., Braig, N., Mädche, A., Röglinger, M., Ruiner, C., Schoch, M., Schoop, M., Urbach, N. and Vandirk, S. (2025) Using Generative AI in Higher Education: A Guide for Lecturers, Journal of Information Systems Education (JISE), 36, 3, 237-256. (Link)

• Protschky, D., Lämmermann, L., Hofmann, P. and Urbach, N. (2025) What Gets Measured Gets Improved: Monitoring Machine Learning Applications in their Production Environments, IEEE Access, 2025, 13, 34518-34538. (Link)

• Mayer, V., Meierhöfer, S., Prediger, L. and Urbach, N. (2025) The Evolution of the Organizational Decision-Making Process: A Predictive Analysis of the Impact of Artificial Intelligence, Proceedings of the 46th International Conference on Information Systems (ICIS 2025), December 14-17, Nashville, Tennessee. (Link)

• Moder, L., Duda, S., Willburger, L., Kraus Caballero, R., Häckel, B., Röglinger, M. and Urbach, N. (2025) Toward Data-Sovereign Prescriptive Process Monitoring - A Federate Learning Approach, Proceedings of the 33rd European Conference on Information Systems (ECIS 2025), June 12-18, Amman, Jordan. (Link)

• Lämmermann, L., Mayer, V., Schweizer, A. and Urbach, N. (2025) AI-Shoring als Zukunftsstrategie: Mit KI-Agenten dem Fachkräftemangel begegnen, Wirtschaftsinformatik & Management, forthcoming. (Link)

• Block, M., Görlich, C. M., Lautenschlager, J., Mayer, V., Stramm, J., Urbach, N., Wendt, J. and Wendt, D. (2025) KI-Kompetenzanforderungen nach Art. 4 AI Act: Juristische Analyse und praxisorientierte Maßnahmen, hessian.AI. (Link)

• Block, M., Görlich, C. M., Lautenschlager, J., Mayer, V., Stramm, J., Urbach, N., Wendt, J. and Wendt, D. (2025) AI literacy requirements according to Art. 4 AI Act: Legal analysis and practical measures, hessian.AI. (Link) 

• Gerlach, L., Götz, V., Guggenberger, T., Häckel, B., Helmus, B., Kreuzer, T., Principato, M., Urbach, N., Weber, N., Weiß, F. and Zipperling, D. (2025) SplitNFed: Datenschutzkonforme und effiziente künstliche Intelligenz mit Split & Federated Learning, Fraunhofer FIT Institutsteil Wirtschaftsinformatik, Augsburg / Bayreuth. (Link)

• Grüneke, T., Guggenberger, T., Hall, K., Langer, T., Meierhöfer, S., Oberländer, A. M., Röglinger, M., Stramm, J., Urbach, N. and Wozar, J. (2025) Einsatz- und Akzeptanzanalyse von KI-basierten Wissenszugängen in KMU am Beispiel einer semantischen Suche: Gemeinsamer Sachbericht, Universität Bayreuth, Frankfurt University of Applied Sciences. (Link)

• Busch, M., Collarana, D., Decker, S., Eymann, T., Gutheil, N., Keller, R., Kühl, N., Lange-Bever, C., Mayer, V., Morad, M., Pöllath, L., Röglinger, M., Sharma, R., Urbach, N. (2025) Implementing Generative AI Chatbots – Potentials, Challenges and Guidelines for the Successful Implementation of Generative Chatbots into Tourism, University of Bayreuth. (Link)

• Hofmann, P., Urbach, N., Lanzl. J and Desouza, K. (2024) AI-enabled information systems: Teaming up with intelligent agents in networked business (Editorial), Electronic Markets, 34, 52, 1-8. (Link)

• Duda, S., Hofmann, P., Urbach, N., Völter, F. and Zwickel, A. (2024) The Impact of Resource Allocation on the Machine Learning Lifecycle: Bridging the Gap between Software Engineering and Management, Business & Information Systems Engineering (BISE), 66, 2, 203-219. (Link)

• Hennrich, J., Ritz, E., Hofmann, P. and Urbach, N. (2024) Capturing Artificial Intelligence Applications’ Value Proposition in Healthcare – A Qualitative Research Study, BMC Health Services Research, 24, 420. (Link)

• Holst, L., Lämmermann, L., Mayer, V., Urbach, N. and Wendt, D. (2024) The Impact of the EU AI Act’s Transparency Requirements on AI Innovation, Proceedings of the 19th International Conference on Wirtschaftsinformatik (WI 2024), September 16-19, Würzburg, Germany. (Link)

• Jakob, A., Schüll M., Hofmann, P. and Urbach, N. (2024) Teaming Up With Intelligent Agents – A  Work System Perspective on the Collaboration With Intelligent Agents, Proceedings of the 32nd European Conference on Information Systems (ECIS 2024), June 13-19, Paphos, Cyprus. (Link)

• Protschky, D., Schüll, M. and Urbach, N. (2024) Governance von künstlicher Intelligenz – Eine Methode zur Transformation vorhandener Governance-Mechanismen in Unternehmen, Wirtschaftsinformatik & Management, 16, 3-4, 194–201. (Link)

• Becker, D., Deck, L., Feulner, S., Gutheil, N., Schüll, M., Decker, S., Eymann, T., Gimpel, H., Pippow, A., Röglinger, M. and Urbach, N. (2024) Lohnt sich Microsoft 365 Copilot? Eine Potenzialanalyse für Unternehmen und Bildungseinrichtungen, Universität Bayreuth. (Link)

• Gimpel, H., Gutheil, N., Mayer, V., Bandtel M., Büttgen, M., Decker, S., Eymann, T., Feulner, S., Kaya, M.F., Kufner, M., Kühl, N., Lämmermann L., Mädche, A., Ruiner, C., Schoop, M. and Urbach, N. (2024) (Generative) AI Competencies for Future-Proof Graduates: Inspiration for Higher Education Institutions, University of Hohenheim. (Link)

• Alig, Olivia, Responsible AI in der Mediation - Ethische Anforderungen und rechtliche Rahmenbedingungen für Praxis und Ausbildung, in: "Die Mediation", Quartal III/2025, S. 64ff [Stand: 10.07.2025]

• Anderie, Lutz (2020): Quick Guide Game Hacking, Blockchain und Monetarisierung. Wie Sie mit Künstlicher Intelligenz Wertschöpfung generieren. https://doi.org/10.1007/978-3-662-60859-3 [Stand: 14.01.2025]

• Winkel, Fabian; Geierhos, Michaela; and Fink, Josef, "Evaluating Embedding Models for Retrieving ESG Information from Annual Business Reports" (2024). ICIS 2024 Proceedings. 23. https://aisel.aisnet.org/icis2024/aiinbus/aiinbus/23

• Paschalidou, Anastasia (2024): Wie wollen wir mit KI leben? - Systeme Künstlicher Intelligenz in der Sozialen Arbeit. In: Klein, Barbara (Hrsg.): Künstliche Intelligenz im Health-Care Sektor, Frankfurt University of Applied Sciences, 39-44. Online unter: https://doi.org/10.48718/1cw9-3c06  [Stand: 31.01.2024]

• Alig, Olivia, KI im Konfliktmanagement – rechtliche & ethische Aspekte, in: Klein, Barbara, Frankfurt University of Applied Sciences (Hrsg.), Künstliche Intelligenz im Healthcare-Sektor, Frankfurt/M. 2024, S. 101ff: Link zum E-Book

• F. S. Butt, M. F. Wagner, J. Schäfer and D. G. Ullate, "Toward Automated Feature Extraction for Deep Learning Classification of Electrocardiogram Signals," in IEEE Access, vol. 10, pp. 118601-118616, 2022, doi: 10.1109/ACCESS.2022.3220670.

• F. S. Butt, J. Schäfer, M. F. Wagner, D. Stegelmeyer and D. G. -U. Oteiza, "Application of CRISP-DM and DMME to a Case Study of Condition Monitoring of Lens Coating Machines," 2023 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT), Brescia, Italy, 2023, pp. 409-414, doi: 10.1109/MetroInd4.0IoT57462.2023.10180178.

• P. Weber „Anti-reflex coating and process control - Gaining control of process parameters by digital means. An approach to reduce scrap and rework.”, MAFO Ophtalmic Labs & Industry, Vol. 5-2203, p.20-25 https://issuu.com/eyepressfachmedien/docs/mafo_2305/20

• Fachartikel über die wissenschaftliche Veröffentlichung 1. Rheinmaintv „Brillenglasproduktion am Standort Deutschland“ Bericht über das Forschungsprojekt der FG INDAS mit optovision und Bühler GmbH (s. 2 u. 3): https://www.rheinmaintv.de/sendungen/beitrag-video/brillenglasproduktion-am-standort-deutschland-attraktiv-und-rentabel-gestalten/vom-19.03.2024

• Hofmann, P., Lämmermann, L., & Urbach, N. (2024). Managing artificial intelligence applications in healthcare: Promoting information processing among stakeholders. International Journal of Information Management, 75, 102728.

• Duda, S., Hofmann, P., Urbach, N., Völter, F. and Zwickel, A. (2023) The Impact of Resource Allocation on the Machine Learning Lifecycle: Bridging the Gap between Software Engineering and Management, Business & Information Systems Engineering (BISE), forthcoming.

• Gimpel, H., Hall, K., Decker, S., Eymann, T., Lämmermann, L., Mädche, A., ... Urbach, N., Vandrik, S. (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.

• Guggenberger, T., Lämmermann, L., Urbach, N., Walter, A. and Hofmann, P. (2023) Task delegation from AI to humans: A principal-agent perspective, Proceedings of the 44th International Conference on Information Systems, December 10-13, Hyderabad, India.

• Hinsen, S., Hofmann, P., Jöhnk, J. and Urbach, N. (2022) How Can Organizations Design Purposeful Human-AI Interactions: A Practical Perspective From Existing Use Cases and Interviews, Proceedings of the 55th Hawaii International Conference on System Sciences(HICSS-55), January 4-7, Maui, Hawaii.

• Lämmermann, L., Richter, P., Zwickel, A., & Markgraf, M. (2022). AI Fairness at Subgroup Level–A Structured Literature Review. Proceedings of the European Conference on Information Systems 2022. Timisoara, Romania

• Urbach, N. and Hofmann, P. (2022) Warum wir nicht nur von Künstlicher Intelligenz sprechen sollten, transfer – Zeitschrift für Werbung, Kommunikation und Markenführung, 68, 3, 10-13.

• Geske, F., Hofmann, P., Lämmermann, L., Schlatt, V. and Urbach, N. (2021) Gateways to Artificial Intelligence: Developing a Taxonomy for AI Service Platforms, Proceedings of the 29th European Conference on Information Systems (ECIS 2021), June 14-16, Marrakesh, Marocco.

• Hofmann, P., Rückel, T. and Urbach, N. (2021) Innovating with Artificial Intelligence: Capturing the Constructive Functional Capabilities of Deep Generative Learning, Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS-54), January 5-8, Koloa, Hawaii.

• Urbach, N., Häckel, B., Hofmann, P., Fabri, L., Ifland, S., Karnebogen, P., Krause, S., Lämmermann, L., Protschky, D., Markgraf, M. and Willburger, L. (2021) KI-basierte Services intelligent gestalten – Einführung des KI-Service-Canvas. Projektgruppe Wirtschaftsinformatik des Fraunhofer-Instituts für Angewandte Informationstechnik FIT, Hochschule Augsburg, Universität Bayreuth, Frankfurt University of Applied Sciences, Bayreuth, Augsburg und Frankfurt.

• Hofmann, P., Jöhnk, J., Protschky, D. and Urbach, N. (2020) Developing Purposeful AI Use Cases – A Structured Method and its Application in Project Management, Proceedings of the 15th International Conference on Wirtschaftsinformatik (WI 2020), March 9-11, Potsdam, Germany

• Hofmann, P., Oesterle, S., Rust, P. and Urbach, N. (2019) Machine Learning Approaches along the Radiology Value Chain – Rethinking Value Propositions, Proceedings of the 27th European Conference on Information Systems (ECIS 2019), June 8-14, 2019, Stockholm, Sweden.

• Urbach, N., Hofmann, P. and Protschky, D. (2019) KI – Eine Aufgabe für das ganze Unternehmen, CIO-Jahrbuch 2020: Prognosen zur Zukunft der IT, IDG Business Media, München: 60-63.