CHAIR IN Information and
Service Systems (ISS)

Chair in Business Administration, especially Information and Service Systems at Saarland University deals with the development and management of data-driven services, for instance healthcare. Directed by Prof. Dr.-Ing. Wolfgang Maaß, the chair investigates how the application of experimental design methods combined with distributed, data analytic approaches lead to adaptive service designs and innovative solutions. This research is conducted in basic and applied research projects in cooperation with leading research and industry partners. Results are applied and validated in industry projects by the research group Smart Service Engineering (SSE) at the German Research Center for Artificial Intelligence (DFKI).


Univ.-Prof. Dr.-Ing. Wolfgang Maaß

Professor and chair holder

Wolfgang Maaß is professor in Business Informatics at Saarland University, scientific director at Deutsche Forschungszentrum für Künstliche Intelligenz (DFKI), and adjunct professor Stony Brook University Health Sciences Center School of Medicine, NY.


From Mental Models to Machine Learning Models via Conceptual Models, Enterprise, Business-Process and Information Systems Modeling, Springer, 2021, pp. 293–300.

Pairing Conceptual Modeling with Machine Learning, Data & Knowledge Engineering, forthcoming, 2021.

From Qualitative to Quantitative Data Valuation in Manufacturing Companies, IFIP International Conference on Advances in Production Management Systems, (forthcoming), 2021.


list of projects

list of archived projects

list of projects

The innovation competition „Artificial Intelligence as a Driver for Economically Relevant Ecosystems“

Digitalization represents an opportunity for food industry to increase efficiency by using internal and external data.

The combination of material goods and services into hybrid service bundles leads to newly bundled forms of value creation:

The rapid pace of digital change is challenging SMEs and their employees. 

The objective of the project is the development and instantiation of a data balance.

The TUCANA Service Platform is a distributed system consisting of both internal and cross-device networked web applications.

list of archived projects

The objective of the research project SMARF is to create a manufacturer-independent and thus fully compatible network
The project F-Predict is dedicated to creating a prediction model which can predict fertilizer prices.
Our intended project will identify key questions related to modeling cognitive biases and how they affect
The booming e-commerce and the advancing digitalization demand the stationary trade..

jobs and internship

Please check the DFKI Site or our Instagram Feed for new Vacancies.

You can apply for a vacancy via our application form. Please attach all necessary documents like a curriculum vitae and alls relevant certificates. We will get in touch with you as soon as we have reviewed your application.