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Professorship for IoT-based Information Systems


PROFESSORSHIP IOT-BASED INFORMATION SYSTEMS

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Latest Publications

  • "Towards Process-oriented IIoT Security Management: Perspectives and Challenges" (Stefan Schönig, Markus Hornsteiner, Christoph Stoiber), 23rd Working Conference on Business Process Modeling, Development and Support (BPMDS 2022).
  • "Improving Business Processes with the Internet of Things - A Taxonomy of IIoT Applications" (Christoph Stoiber, Stefan Schönig), 30th European Conference on Information Systems (ECIS 2022).
  • "Patterns for IoT-based Business Process Improvements – Developing a Metamodel" (Christoph Stoiber, Stefan Schönig), 24th International Conference on Enterprise Information Systems (ICEIS 2022).
  • "Digital Transformation and Improvement of Business Processes with Internet of Things: A Maturity Model for Assessing Readiness" (Christoph Stoiber, Stefan Schönig), 55th Hawaii International Conference on System Sciences (HICSS 2022).
  • "Cost-sensitive Predictive Business Process Monitoring" (Martin Käppel, Stefan Jablonski and Stefan Schönig), 25th European Conference on Advances in Databases and Information Systems (ADBIS 2021).
  • "Execution of Multi-Perspective Declarative Process Models using Complex Event Processing" (Niklas Ruhkamp and Stefan Schönig), 24th International Conference on Business Information Systems (BIS 2021).


Professorship Iot-based information systems

Research Summary

In the course of digitalisation and the change towards an innovation-oriented service society, business processes must map the necessary flexibility and at the same time be closely linked to people, working environments and their characteristics. The primary research focus of the professorship is on the conceptual development and practical implementation of methods and systems to support and analyse flexible, digitalised business processes. The second research focus is on the integration of "Internet of Things" (IoT) and process management approaches. Process management, process monitoring and analysis data based on IoT systems enable a comprehensive view of processes and application environments. Mobile user interfaces and portable devices enable location-independent, flexible task processing and new types of interaction possibilities. The merging of sensor technology and (business) process management also opens up new interdisciplinary areas of application in the context of Industry 4.0 applications in production and logistics.


  1. STARTSEITE UR
  2. FACULTY OF INFORMATICS AND DATA SCIENCE

Prof. Dr. Stefan Schönig

Professorship for Iot-based Information systems


Universitätsstraße 31
93053 Regensburg
Raum RWS 106a

Telefon: 0941 943 5633
stefan.schoenig@ur.de

Sekretariat: Petra Sauer
Telefon: 0941 943 2743
Raum RWS 103
Mo. - Mi. 8 - 12 Uhr