Syllabus
Registration via LPIS
Day | Date | Time | Room |
---|---|---|---|
Monday | 01/08/24 | 08:00 AM - 12:00 PM | TC.5.16 |
Tuesday | 01/09/24 | 08:00 AM - 12:00 PM | TC.5.16 |
Thursday | 01/11/24 | 08:00 AM - 12:00 PM | Online-Einheit |
Monday | 01/15/24 | 08:00 AM - 12:00 PM | TC.5.16 |
Tuesday | 01/16/24 | 08:00 AM - 12:00 PM | TC.5.16 |
Thursday | 01/18/24 | 08:00 AM - 12:00 PM | Online-Einheit |
Thursday | 01/25/24 | 08:00 AM - 01:00 PM | TC.5.16 |
In this project-based seminar, students will have to do a group-based business project related to the internationalization of multinational firms. Through this, students will master at least two kinds of data analysis approaches, which will significantly help them in their future studies/work life.
For this they will have to engage in primary and secondary research in order to find firm- and country-level data for analysis. They will then use this information to analyze the firm's internationalization process. This analysis will be done according to theory models previously learnt however a certain amount of self-driven analysis will also be expected.
The Seminar contains an introduction session in which the necessary theory and analytical techniques will be explained as well as the process will be elaborated on. Furthermore the course consists of 2 coaching sessions in which each groups is expected to hold a 20 minute meeting with the supervisor, a mid-term status presentation for feedback and a final presentation.
Students should learn to identify challenges related to the internationalization process of MNEs.
They will learn to research the necessary data in the form of primary (interviews, company-information) and secondary (databases and other sources) research in order to have a basis for analysis.
They will then learn to analyze the researched data relevant to the firm through simple but effective methods that will be taught in the course. They should also learn to critically evaluate different analyses outcomes independently and chose the appropriate results.
They will furthermore learn to illustrate the challenges, analyses and solutions through a case study-like presentation.
Internationalization theories,
Data analysis techniques,
Primary data gathering,
Secondary (database) data
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