Information

You can find all information about master seminar theses at our chair on ILIAS.

IS 703: Master Seminar

The seminar examines frontier research on how artificial intelligence and digital technologies change firms, consumer behavior, and markets. It focuses on highly relevant business questions such as how AI affects employee productivity, decision-making, and innovation; how digital platforms and social media shape competition and consumer behavior; and how new technologies create broader economic and societal effects.

This seminar is aimed at business students.

Students engage with state-of-the-art research on topics such as whether AI helps employees work faster and better, how platforms such as Amazon, Uber, or app stores influence market competition, how recommendation algorithms and social media platform features affect attention and demand, and how digital technologies can generate externalities such as misinformation, algorithmic bias, and sustainability challenges. The goal of the seminar is to understand the consequences of artificial intelligence and digital technologies for business strategy and markets.

Each participant will be assigned a frontier research paper in a topic area of their choice and will analyze it in depth throughout the seminar. Students learn how to identify the paper’s central research question, theoretical foundations, empirical strategy, and main contribution. They also gain experience on how to identify complementary, relevant academic literature. They also learn how to critically assess the paper’s assumptions, research design, methodology, and limitations, and derive a promising research proposal for future research by themselves.

To support this process, the seminar opens with a kick-off session on how to search for, read, interpret, and evaluate academic research papers. 

  • Information

    Please find all information about our Master Seminar at our chair on ILIAS

  • Examples

    Papers our students have worked with in previous semesters:

    Scott Schanke, Gordon Burtch, Gautam Ray (2024) Digital Lyrebirds: Experimental Evidence That Voice-Based Deep Fakes Influence Trust. Management Science 72(1):386–405. 

    Li, H., & Aral, S. (2025). Human Trust in AI Search: A Large-Scale Experiment. arXiv preprint arXiv:2504.06435 

    Brynjolfsson, Erik; Li, Danielle; Raymond, Lindsey (2025): Generative AI at Work. Quarterly Journal of Economics. 

Contact

Portraitfoto Katharina Viethen

Katharina Viethen, M.Sc. (she/her)

E-mail: katharina.viethenuni-mannheim.de 
Phone: +49 621 181-2153

Address:
University of Mannheim
L5, 1–6 – Room 717
68131 Mannheim

Consultation hours:
By appointment