Postdoctoral Researcher

Dr. Peter Hofmann

Postdoctoral Researcher
Mail  peter.hofmann@fim-rc.de
Phone  +49 921 55 – 4716
Room  Room: 3.16,
Wittelsbacherring 10,

95444 Bayreuth

Externe Profile: Mail Mail Mail

Dr. Peter Hofmann is a postdoctoral researcher at the Project Group Business and Information Systems Engineering of the Fraunhofer Institute for Applied Information Technology (FIT) and the Research Center Finance & Information Management (FIM). 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. 

How Can Organizations Design Purposeful Human-AI Interactions : A Practical Perspective From Existing Use Cases and Interviews
presented at: 55th Hawaii International Conference on System Sciences (HICSS), Kauai, USA (virtual), 2022
Hinsen, Silvana
Hofmann, Peter
Jöhnk, Jan
Urbach, Nils
Fairness, integrity, and privacy in a scalable blockchain-based federated learning system
in: Computer Networks, 2021
Rückel, Timon
Sedlmeir, Johannes
Hofmann, Peter
Gateways to Artificial Intelligence : Developing a Taxonomy for AI Service Platforms
presented at: 29th European Conference on Information Systems (ECIS), Marrakesh, Morocco, 2021
Geske, Flora
Hofmann, Peter
Lämmermann, Luis
Schlatt, Vincent
Urbach, Nils
Data-driven Applications to Foster Absorptive Capacity : A Literature-based Conceptualization
presented at: 54th Hawaii International Conference on System Sciences, Maui, Hawaii, 2021
Hofmann, Peter
Stähle, Philipp
Buck, Christoph
Thorwarth, Harald
Innovating with Artificial Intelligence : Capturing the Constructive Functional Capabilities of Deep Generative Learning
presented at: 54th Hawaii International Conference on System Sciences (HICSS), Maui, Hawaii (Virtual), 2021
Hofmann, Peter
Rückel, Timon
Urbach, Nils
Designing and Managing Artificial Intelligence-Enabled Information Systems
2021
Hofmann, Peter
KI-basierte Services intelligent gestalten : Einführung des KI-Service-Canvas
2021
Urbach, Nils
Häckel, Björn
Hofmann, Peter
Fabri, Lukas
Ifland, Sebastian
Karnebogen, Philip
Krause, Stefanie
Lämmermann, Luis
Protschky, Dominik
Markgraf, Moritz
Willburger, Lukas
KI-Anwendungsfälle zielgerichtet identifizieren
in: Wirtschaftsinformatik & Management, 2020
Hofmann, Peter
Jöhnk, Jan
Protschky, Dominik
Stähle, Philipp
Urbach, Nils
Buck, Christoph
Developing Purposeful AI Use Cases : A Structured Method and Its Application in Project Management
in: Entwicklungen, Chancen und Herausforderungen der Digitalisierung. Band 1.Proceedings der 15. Internationalen Tagung Wirtschaftsinformatik 2020, GITO Verlag, Berlin, 2020
Hofmann, Peter
Jöhnk, Jan
Protschky, Dominik
Urbach, Nils
Robotic Process Automation
in: Electronic Markets, 2020
Hofmann, Peter
Samp, Caroline
Urbach, Nils
How ill is your IT Portfolio? : Measuring Criticality in IT Portfolios Using Epidemiology
presented at: 40th International Conference on Information Systems, Munich, Germany, 2019, München, 2019
Guggenmos, Florian
Hofmann, Peter
Fridgen, Gilbert
Think beyond tomorrow : KI, mein Freund und Helfer : Herausforderungen und Implikationen für die Mensch-KI-Interaktion
2019
Alan, Yilmaz
Urbach, Nils
Hinsen, Silvana
Jöhnk, Jan
Beisel, Patrick
Weißert, Malte
Blumenthal, Stephan
Hofmann, Peter
KI - Eine Aufgabe für das ganze Unternehmen
in: CIO Jahrbuch 2020 : Prognosen zur Zukunft der IT, München, 2019
Urbach, Nils
Hofmann, Peter
Protschky, Dominik
Inter-technology relationship networks : Arranging technologies through text mining
in: Technological Forecasting and Social Change, 2019
Hofmann, Peter
Keller, Robert
Urbach, Nils
Machine Learning approaches along the Radiology Value Chain : Rethinking Value Propositions
presented at: 27th European Conference on Information Systems (ECIS), Stockholm, Sweden, 2019
Hofmann, Peter
Oesterle, Severin
Rust, Paul
Urbach, Nils
Sicheres IT-Sourcing : Technische Möglichkeiten und Ökonomische Implikationen
in: Möstl, Markus: Datenschutz in der betrieblichen Praxis, JWV, Jena, 2016
Jöhnk, Jan
Hofmann, Peter
Eymann, Torsten
Urbach, Nils