.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)