Growing internationalization of companies and increased globalization require dealing with operations and specifics of international management as well as creating an understanding of intercultural differences. In order to help the students to understand these specifics and challenges accompanying international companies, the course will be divided in the following parts:
Important Aspects in International Management
Theories of Internationalization
Specific characteristics of international companies and their strategies
Organizational Structure and Leadership in international companies
During the course, the content will be covered from a theoretical as well as a practical point of view by using examples of different companies. In order to provide practical relevance to the course, a guest speaker from a well-known international company will be invited or alternatively a company visit will be organized as well as an analysis of a case study will take place.
Leistungsnachweis:
620 - International Business<ul><li>620 - International Business: Subject theoretical and practical work</li></ul><br>621 - International Business<ul><li>620 - International Business: Subject theoretical and practical work</li><li>820 - International Business - Exercises: Excercises</li></ul><br>m820-2019 - International Business<ul><li>620 - International Business: Subject theoretical and practical work</li><li>820 - International Business - Exercises: Excercises</li></ul><br>m820-2020 - International Business<ul><li>620 - International Business: Subject theoretical and practical work</li><li>820 - International Business - Exercises: Excercises</li></ul>
ECTS-Kreditpunkte:
2
Weitere Informationen aus Stud.IP zu dieser Veranstaltung
Hund, P. (2021). Modellierung eines elektrischen Netzes zur Demonstration des Einflusses von virtueller Trägheit durch umrichterbasierte Energieanlagen.
Hund, P. (2021). Koordinierte Bereitstellung von virtueller Trägheit durch erneuerbare umrichterbasierte Energieanlagen in Verteilnetzen mithilfe von künstlicher Intelligenz.
Möller, P. (2021). Erfassung der Knotenspannung in Niederspannungsnetzen auf Basis von dezentralen Messeinrichtungen mithilfe von Machine learning.
Plant, R. (2021). Estimation of Power System Inertia in an Inverter-Dominated Distribution Grid Using Machine Learning.
2020
Dressel, M. (2020). Modellierung der Zustandsschätzung eines elektrischen Netzes mit Hilfe von Graph neuronalen Netzen.
Schmidt, M. (2020). Vorhersage von zuverlässig bereitstellbarer Regelleistung aus Erneuerbaren Energien mithilfe von neuronalen Netzen.