Doctoral Candidate

Peter Hofmann

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

95444 Bayreuth

Peter Hofmann passed his university-entrance diploma at the Gymnasium Herzogenaurach in 2011. From 2011 to 2018 he studied Business Administration (B.Sc. und M.Sc.) at the University of Bayreuth with majors in Technology, Operations, and Processes. During his studies, he was involved amongst others as chairman for IT in the student association MARKET TEAM e. V. He gained practical experience as an intern at Volkswagen AG in Wolfsburg supporting the long-term sales planning of VW passenger cars. In addition he worked as a tutor for microeconomics. He joined the Research Center Finance & Information Management in January 2016 as a research assistant. Since May 2018 he is working in Bayreuth as a Doctoral Candidate at the Professorship for Information Systems and Strategic IT Management of Prof. Dr. Nils Urbach as well as the Fraunhofer Project Group for Business & Information Systems Engineering.

Within his research, Peter Hofmann primarily focuses on the fields of Strategic IT Management and data-driven concepts and methods such as Text Mining to support the management of technologies and innovations in companies.

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