Methoden der Wirtschaftsinformatik
Overview and learning objectives
The lecture "Methoden der Wirtschaftsinformatik" teaches central research methodologies such as Design Science Research and Behavioural Science Research. Students learn to characterise these methodologies, classify research projects and design their own research projects.
Quantitative and qualitative research methods are covered, including (online) experiments and the evaluation of information systems. The aim is to understand the advantages and disadvantages of these methods and to master their application in solving scientific and practical problems. In addition, interdisciplinary skills such as scientific writing and presentation are promoted.
Lecturers
Course information
Students who have successfully completed this course
- are familiar with key research methodologies in business informatics, in particular design science research and behavioral science research.
- can characterize the research methodologies and classify given research projects within them.
- can apply the research methodologies to design their own research projects.
- have a fundamental understanding of qualitative and quantitative research methods in business informatics.
- have detailed knowledge of the components and procedures of the research methods covered.
- can assess the advantages and disadvantages of the research methods and evaluate their suitability for solving specific problems or explaining new phenomena from science and practice.
- can apply research methods to solve scientific questions and explain phenomena related to information systems. They can also use them to solve practical problems in business and society.
- improve their interdisciplinary skills in the areas of presenting scientific content and scientific writing.
This module covers the following technical content:
- Introduction to business informatics as a research discipline
- Research methodologies and processes in business informatics
- Quantitative and qualitative research methods in business informatics (e.g., (online) experiments, design and evaluation of information systems)
- Case studies in business informatics
- Heinzl, A., Mädche, A., & Riedl, R. (2024). Gegenstandsbereich der Wirtschaftsinformatik. In Wirtschaftsinformatik: Einführung und Grundlegung (pp. 1-13). Springer Gabler Berlin, Heidelberg.
- Heinzl, A., Mädche, A., & Riedl, R. (2024). Empirische Methoden der Wirtschaftsinformatik. In Wirtschaftsinformatik: Einführung und Grundlegung (pp. 53-78). Springer Gabler Berlin, Heidelberg.
- Heinzl, A., Mädche, A., & Riedl, R. (2024). Gestaltungsorientierte Forschung in der Wirtschaftsinformatik. In Wirtschaftsinformatik: Einführung und Grundlegung. (pp. 79-88). Springer Gabler Berlin, Heidelberg.
- Hevner, A. R., March, S. T., Park, J., & Ram, S. (2004). Design Science in Information Systems Research. MIS Quarterly, 28(1), 75–105.
- Fink, L. (2022). Why and How Online Experiments can Benefit Information Systems Research. Journal of the Association for Information Systems, 23(6), 1333-1346.
- Peffers, K., Tuunanen, T., Rothenberger, M. A., & Chatterjee, S. (2007). A Design Science Research Methodology for Information Systems Research. Journal of Management Information Systems, 24(3), 45-77.
- Venable, J., Pries-Heje, J., & Baskerville, R. (2016). FEDS: a Framework for Evaluation in Design Science Research. European Journal of Information Systems, 25(1), 77-89.
Organizational information
Next course start: SoSe 26
Place: tbd
Dates: tbd
ECTS: 6
Block seminar at the beginning of the semester
Exercises based on the flipped classroom principle
Guided development of a research project, including peer feedback
The course examination consists of a graded written assignment and a graded oral examination.
The module grade is equal to the percentage-weighted average of the individual grades with the following weights: written assignment (60%), oral examination (40%).
Compulsory course: Wirtschaftsinformatik – Grundlagen
Program: M.Sc. Wirtschaftsinformatik