2193 Elective - Behavioral Insights
Univ.Prof. Dr. Susann Fiedler, Anna Verena Walter-Dockx, M.Sc.
Contact details
Weekly hours
Language of instruction
09/05/23 to 09/22/23
Registration via LPIS
Notes to the course
Subject(s) Master Programs
Day Date Time Room
Saturday 11/04/23 09:00 AM - 03:00 PM D5.1.004
Tuesday 11/07/23 09:00 AM - 01:00 PM D5.1.004
Thursday 11/16/23 09:00 AM - 01:00 PM D5.1.004
Thursday 11/23/23 09:00 AM - 01:00 PM D5.1.004
Thursday 11/30/23 09:00 AM - 01:00 PM D5.1.004

All organizations, be they business, educational, or government, are social systems. People run them, and the functioning of an organization depends upon how people work or behave. Human behavior in organizations often feels unpredictable because it arises from people’s deep-seated needs and value systems, often unknown to the manager and organizational designer. However, it can be partially understood through behavioral science. By increasing our understanding and skills so that human relations at work can be enhanced and intelligent organizations are tailored around them.

This course aims to give an intensive introduction to the field of judgment and decision-making. Students will learn about the cognitive and social psychological underpinnings of individual and collective human decision-making. Standard assumptions of rationality will be contrasted with empirical evidence and psychological theories of actual behavior. 

Learning outcomes

Upon completion of the course, students will be able to:

  1. Understand the key theories and principles of decision-making, including standard economic models and behavioral decision theory.
  2. Analyze the factors influencing individual decision-making processes, such as risk perception, decision framing, and the role of emotions.
  3. Understand the social context of decision-making processes, including social perception processes, group dynamics, and the role of fairness in negotiations.
  4. Identify common decision-making blind spots and biases and their impact on judgment and decision-making.
  5. Apply debiasing techniques to improve decision-making processes and outcomes in organizational settings.
Attendance requirements

For this lecture participation is obligatory. Students are allowed to miss a maximum of 20%

Teaching/learning method(s)

The course employs a variety of learning methods including:

  1. Lectures: to introduce theories, models, and key concepts.
  2. Class Discussions: to engage with peers and instructors, challenge assumptions, and reinforce understanding.
  3. Role-play and Simulation Exercises: (particularly in the session on Negotiations & Fairness in Decision making) to apply theoretical concepts in practical scenarios.
Class evaluation consists of 3 parts:
Participation:                 10%
Individual assignment:  50%
Group assignment:        40%
Prerequisites for participation and waiting lists

No pre-requisites


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Recommended previous knowledge and skills


Last edited: 2023-08-10