Following up on the contents of the classes on “Academic Writing” in the first semester, this class delves deeper into academic research methods. Specific methods and their applications are explained in detail, i.e.

• Advanced process modelling
• Big data and machine learning
• Structured literature review
• (Agent-based) simulation

After completion of 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 recognize the existence of different research methods. Furthermore, students are able to differentiate between the different research methods and can decide which research methods is applicable in certain research situations.

Attendance in all sessions (full presence) is mandatory.

Lecture, classroom discussions, assignments, cases

Assessment will be based on 4 assignments, including 1 in-class assignment and 3 homework assignments. Each assignment has equal weight of 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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