.research
Currently, I am using meta-analysis to look for “original discoveries and contributions by mining the untapped veins of information in accumulated research literatures.” (Hunter & Schmidt 2004, p. 21)
In general, I believe that research is inherently cross-disciplinary:
- Data science helps us to distill interesting patterns from human behavior.
- Qualitative research helps us to understand the meaning of these patterns.
- Experimental research and design research help us to use this understanding to build more effective information systems.
.methods
- Meta-analysis
- Experiments
- Data Science
- Qualitative Document Analysis
- Philosophy of Science
.projects
- Your Time for Science - A mobile platform for economic experiments
- The relationship of project control and project performance
- User participation, risk, and project performance
- Repeated interactions in IT outsourcing
.log
- Köhn, T., Gottlieb, M., Schermann, M., Krcmar, H.: Improving take-over quality in automated driving by interrupting non-driving tasks at the 24th International Conference on Intelligent User Interfaces.
- Schermann, M., Merz, ML. “User Participation in Information Systems Projects: Necessary But Not Sufficient” at ECIS 2018
- Spring 2018 Data Visualization (Syllabus)
- Spring 2018 ERP Systems (Syllabus)
- Spring 2018 Financial Information Systems (Syllabus)
- Winter 2018 Data Science with Python (Syllabus)
- 2017 Senior Scholar Best Information Systems Publication Award (Link)
- Fall 2017 Data Visualization (Syllabus)