When we face a problem we usually jump to solution search, without deep and thorough analysis of the actual problem. Often we develop solutions without knowing what the underlying causes and roots of a problem are. Cognitive biases, heuristics, experience, and/or pressure from the local as well as global context let us react immediately. However, a valuable solution is most likely created when individuals know which problem has to be tackled. Quoting Einstein and Infeld (1938): ‘the formulation of a problem is often more essential than its solution...’). Hence, this course aims to address the following issues:- Understand the purpose of problem analysis- Build your own tool based on research findings- Practice problem analysis - Internalize steps of problem perception and analysis before developing solutions - Comprehend the underlying challenges as well as advantages of solving problems (and developing solutions) in large organizations (e.g. MNCs). - Learn about the role of managers in subsidiaries and headquarters and what challenges them. For example, a subsidiary manager needs to balance expectations from the local environment, the headquarters as well as the industry context. This course is particularly relevant for students who are interested in using theoretical insights (1) to understand the underlying dynamics of a topic and (2) to develop their own best-practice (rather than taking other’s best practices).

The lecturer provides students with theoretical and practical input, relevant readings, and guidance. Accordingly, students will be able to find answers to the following questions:
- “Why do I need to deeply analyze a problem before searching for a solution?”
- “How should I analyze a problem?”
- “Does research help me to find an approach of formulating and solving a problem?”
- “What are the challenges when solving a problem in a large firms?”

Mixture of theory input from the lecturer, class-discussions and case studies (individual and group), as well as independent preparing of pre-defined topics. The course is designed in a way that the lecturer guides and challenges students (1) to use and synthesize information from theories (i.e. research papers and books) and (2) to transform these findings to their own individual practical usage.

The last session will be dedicated to a written project where students can proof what they have learn during the course (mixture of theory, practice, own reflections).

25% Participation during class
50% Regular homework (e.g. readings, writing of short papers)
25% Final project (during the last session)
Min. attendance of class: 90%