Postdoctoral Researcher

Dr. Peter Hofmann
Post-Doc
peter.hofmann@fim-rc.de
+49 173 8585991
Room: 3.16,
Wittelsbacherring 10,
95444 Bayreuth
Dr. Peter Hofmann is a postdoctoral researcher at the Research Center Finance & Information Management (FIM) as well as part of the Branch Business and Information Systems Engineering of the Fraunhofer Institute for Applied Information Technology (FIT). Besides co-leading a research group, he is the founder and director of the AI Lab. He received his doctorate (summa cum laude) from the University of Bayreuth with a dissertation on the design and management of AI-enabled information systems. Previously, he studied Business Administration (B.Sc. und M.Sc.) at the University of Bayreuth.
Within his research, Peter primarily focuses on the design and management of AI-enabled information systems. In doing so, he primarily investigates socio-technical issues in the field of human-AI interaction and AI applications’ organizational integration. Besides contributing novel theoretical perspectives, he provides knowledge and methods to solve relevant practical problems. Peter regularly publishes his research in relevant scientific journals (e.g., Electronic Markets, Technological Forecasting and Social Change) and conference proceedings (e.g., ICIS, ECIS). In addition, he is engaged in the scientific community as an associate editor and reviewer for multiple journals and conferences.
Peter has gained practical experience by managing and conducting publicly and privately funded research projects as a research assistant and in preceding internships. As a PostDoc, he continues to be involved in various projects that foster the knowledge exchange between research and industry. He has also gained extensive teaching experience in tutorials, lectures, seminars, and the Digital Leadership Academy.
Digital Decarbonization : Design Principles for an Enterprise-wide Emissions Data Architecturein: Proceedings of the 56th Hawaii International Conference on System Sciences (HICSS), Maui, USA, 2023 | Müller, FranziskaLeinauer, ChristinaHofmann, PeterKörner, Marc-FabianStrüker, Jens | |
Fairness, integrity, and privacy in a scalable blockchain-based federated learning systemin: Computer Networks, 2022 | Rückel, TimonSedlmeir, JohannesHofmann, Peter | |
How Can Organizations Design Purposeful Human-AI Interactions : A Practical Perspective From Existing Use Cases and Interviewsin: Proceedings of the 55th Hawaii International Conference on System Sciences (HICSS), Kauai, USA, 2022 | Hinsen, SilvanaHofmann, PeterJöhnk, JanUrbach, Nils | |
Warum wir nicht nur von Künstlicher Intelligenz sprechen solltenin: transfer : Zeitschrift für Kommunikation und Markenmanagement, 2022 | Urbach, NilsHofmann, Peter | |
Data-driven Applications to Foster Absorptive Capacity : A Literature-based Conceptualizationin: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS), Honolulu, USA, 2021 | Hofmann, PeterStähle, PhilippBuck, ChristophThorwarth, Harald | |
Designing and Managing Artificial Intelligence-Enabled Information Systems2021 | Hofmann, Peter | |
Gateways to Artificial Intelligence : Developing a Taxonomy for AI Service Platformsin: Proceedings of the 29th European Conference on Informations Systems (ECIS), Marrakech, Morocco, 2021 | Geske, FloraHofmann, PeterLämmermann, LuisSchlatt, VincentUrbach, Nils | |
Innovating with Artificial Intelligence : Capturing the Constructive Functional Capabilities of Deep Generative Learningin: Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS), Honolulu, USA, 2021 | Hofmann, PeterRückel, TimonUrbach, Nils | |
KI-basierte Services intelligent gestalten : Einführung des KI-Service-Canvas2021 | Urbach, NilsHäckel, BjörnHofmann, PeterFabri, LukasIfland, SebastianKarnebogen, PhilipKrause, StefanieLämmermann, LuisProtschky, DominikMarkgraf, MoritzWillburger, Lukas | |
Developing Purposeful AI Use Cases : A Structured Method and Its Application in Project Managementin: Proceedings of the 15th International Conference on Wirtschaftsinformatik (WI), Potsdam, Germany, 2020 | Hofmann, PeterJöhnk, JanProtschky, DominikUrbach, Nils | |
KI-Anwendungsfälle zielgerichtet identifizierenin: Wirtschaftsinformatik & Management, 2020 | Hofmann, PeterJöhnk, JanProtschky, DominikStähle, PhilippUrbach, NilsBuck, Christoph | |
Robotic Process Automationin: Electronic Markets, 2020 | Hofmann, PeterSamp, CarolineUrbach, Nils | |
Think beyond tomorrow : KI, mein Freund und Helfer : Herausforderungen und Implikationen für die Mensch-KI-Interaktion2019 | Alan, YilmazUrbach, NilsHinsen, SilvanaJöhnk, JanBeisel, PatrickWeißert, MalteBlumenthal, StephanHofmann, Peter | |
KI : Eine Aufgabe für das ganze Unternehmenin: CIO Jahrbuch 2020 : Prognosen zur Zukunft der IT, München, 2019 | Urbach, NilsHofmann, PeterProtschky, Dominik | |
How ill is your IT Portfolio? : Measuring Criticality in IT Portfolios Using Epidemiologyin: Proceedings of the 40th International Conference on Information Systems (ICIS), Munich, Germany, 2019 | Guggenmos, FlorianHofmann, PeterFridgen, Gilbert | |
Inter-technology relationship networks : Arranging technologies through text miningin: Technological Forecasting and Social Change, 2019 | Hofmann, PeterKeller, RobertUrbach, Nils | |
Machine Learning approaches along the Radiology Value Chain : Rethinking Value Propositionsin: Proceedings of the 27th European Conference on Information Systems (ECIS), Uppsala, Sweden, 2019 | Hofmann, PeterOesterle, SeverinRust, PaulUrbach, Nils | |
Sicheres IT-Sourcing : Technische Möglichkeiten und Ökonomische Implikationenin: Möstl, Markus: Datenschutz in der betrieblichen Praxis, JWV, Jena, 2016 | Jöhnk, JanHofmann, PeterEymann, TorstenUrbach, Nils |