Methods, modelling and theories of information systems

Information Systems is an academic field that deals with digitalization in business, administration, and society by developing and using information and communication technology.  Successful digitalization requires detecting an as-is state of organizations as well as information systems and a to-be state. This state can be investigated using conceptual modelling approaches such as process, goal or data modelling. Conceptual modelling allows combining the resulting model views (e.g., data, processes, goals) to produce a living model, which can be used as a management instrument.

The Research Group Digital Health uses conceptual modelling to analyze different contexts and implement artefacts in its various projects. Typically, developing artefacts in our digital health projects is embedded into a scientific design science process. Design science is a widely accepted information systems method. The Research Group Digital Health has contributed to consolidating and expanding this method, particularly by integrating the evolution of design artefacts.

Topics

Within the research line, we are working on three topics. These include:

• Conceptual modeling (domain-specific adaptation of modeling approaches, investigation of the effect of secondary notation)
• Evolution of design artifacts
•  Method understanding of business informatics

Selected publications

Schlieter, H., Stark, J., Burwitz, M., Braun, R. "Terminology for evolving design artifacts" In: Proceedings of the Wirtschaftsinformatik Conference (WI 2019). Link to the Paper

Stark, J., Braun, R., Esswein, W. "Systemizing colour for conceptual modeling" In: Proceedings of the Wirtschaftsinformatik Conference (WI 2017). Link to the Paper

Braun, R., Schlieter, H., Burwitz, M., Esswein, W. "BPMN4CP: Design and implementation of a BPMN extension for clinical pathways" In: IEEE international conference on bioinformatics and biomedicine (BIBM 2014). Link to the Paper