In this course, students will acquire fundamental knowledge in the field of human resource management and delve deeply into the future of work. We explore not only classical topics but also the significance of artificial intelligence in the workplace, along with selected aspects related to sustainability and shaping the future of work. Drawing from microeconomic and behavioral economic approaches, we analyze various processes and tools in human resource management. We evaluate their alignment with corporate strategy. We investigate how we can design workplaces sustainably while considering the individual needs of employees. In addition, we look at how AI is transforming our work environment and the opportunities and challenges it presents.
Going beyond theoretical concepts, we validate our insights using real-world data from research papers and current events. Discussions are strongly encouraged!

Learning Outcomes 

The student

• understands the processes and instruments of human resource management.
• analyzes different methods and evaluates their usefulness with a special focus on AI.
• analyzes different processes and evaluates the strengths and weaknesses.
• understands the challenges of human resource management and its link to corporate strategy with a special focus on AI and sustainability aspects.
• posses knowledge about the applicability and challenges of different scientific research methods and open science.

Workload

The total workload for this course is approximately 135 hours.

Lecture: 32 hours

Preparation of lecture: 52 hours

Exam preparation: 51 hours

Literature

• Personalmanagement, Stock-Homburg, 2019
• Personnel Economics, Kuhn, 2017
• Research papers and case studies (will be provided during the lecture)