New Website on Information Systems
Information Systems (Wirtschaftsinformatik) in Dortmund has a new Web site on the content, studies, and current research in the field.
Chair of Enterprise Computing
The Chair of Enterprise Computing deals with the socio-technical design of intelligent information systems, so-called human-task-technology systems. We make use of the methodological apparatus of the business informatics discipline.
In addition to information systems engineering, current research areas include business process management (BPM) and the use of artificial intelligence (AI) in management, for example in industrial production with cyber-physical systems or in the area of services, in so-called smart service systems.
News of the Chair
02/26/2026
Dortmund research provides impetus for ZEIT column on AI labels
A ZEIT column looks ahead to the year 2036 - and picks up on our current research into AI labels.
02/05/2026
Project meeting of the BMFTR project "Do AI Yourself (DAIY)" in Bochum
BMFTR project DAIY discusses details of the implementation of the practical AI toolbox for small and medium-sized enterprises.
02/03/2026
Master's seminar Enterprise Computing in the summer semester 2026
The kickoff for the seminar for registered participants is on Wednesday, 22.04.2026
01/29/2026
ITSM in the summer semester 2026: No courses due to research semester
In SoSe 2026 ITSM pauses due to research semester of Prof. Wiesche - information on alternatives and examination.
12/15/2025
The Chair of Enterprise Computing wishes you a Merry Christmas!
We wish all employees, students and relatives a Merry Christmas and a Happy New Year 2026.
12/13/2025
Guest lecture "Managing Alien Intelligences" by Prof. Marek Kowalkiewicz (QUT)
Marek talks about systems with "alien intelligence" and how we should work with them
12/11/2025
We are at ICIS 2025 in Nashville!
Alexander van der Staay takes part in ICIS 2025 with his full paper on AI adaptation strategy building and a paper development workshop participation
12/09/2025
Article published in the Journal of Decision Systems
How do different types of information in data analysis affect the cognitive load of users in smart manufacturing?
