Following up on the contents of the classes on “Academic Writing” in the first semester, this class delves deeper into academic research methods. More specifically, students will be introduced to qualitative research methods, its assumptions, and its applicability to supply chain management research.

After completing this course, students have a basic understanding of how research in Supply Chain Management is conducted. They are able to formulate a research question, and understand differences between research methods.

Students will gain a deeper understanding of qualitative research methods (e.g., how to conduct and analyze interviews) and how to use qualitative methods in their Master thesis. 

Attendance in all sessions (full presence) is mandatory.

Lecture, classroom discussions, classroom presentations, assignments

The assessment is based on the following elements:

• In-class participation and assignments (20%)
• Group project (50%)
• Peer feedback (group project) (5%)
• Individual assignment (25%)

Grading scale:

• Excellent (1): 90.0% - 100.0%
• Good (2): 80.0% - <90.0%
• Satisfactory (3): 70.0% - <80.0%
• Sufficient (4): 60.0% - <70.0%
• Fail (5): <60.0%

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AI tools such as ChatGPT, DeepL and others are partially allowed in the course as long as they are properly cited. It is prohibited to create full paragraphs and text passages with generative AI tools. If you use an AI tool (e.g., for copy editing), you must make it transparent and document its use. To do this, list all AI tools and their use in a directory (list of AI aids) at the end of the work, as in the following example:

By signing the list of AI aids, you further confirm that you have not used AI for generating full paragraphs or passages of your assignment.