Advanced Topics on DTM: Management in the Age of Algorithms
We will explore the emerging fields of Algorithmic Management and Algoactivism and their implications for organizations and society.
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- EN - Please note: This page has no German version because the course is only offered in English.
Quick Info: Master, specialisation "Digital Business" I Seminar I English I 4 weekly hours I 6 ECTS
General information
- Course
- Advanced Topics on Digitalization, Transformation and Management (DTM): Management in the Age of Algorithms (seminar)
- Chair
- Institute for Digital Management and New Media
- Lecturer
- Dr. Bastian Wurm
- Contact
- Eva Hoffmeister
- Winterterm (seminar)
- SWS
- 4
- ECTS
- 6
- Dates and rooms
- see LSF
- Target group
- BWL, WiPäd, Medieninformatik, MMT
- Recommended prerequisites
- Successful attendance of the course "Managing Digital Media"
- Capacity restrictions
- yes
- Examination
- Presentations and seminar thesis
- Language
- English
- Please note
- Please note that the participation in all dates is mandatory!
Content and course objectives
AI and algorithms are rapidly transforming the way organizations manage their workforce. Take Uber, for example, it uses AI to oversee around 7 million drivers across the globe. In this seminar, we’ll explore the emerging fields of Algorithmic Management and Algoactivism, examining their impact on both organizations and society. Algorithmic management refers to the use of algorithms to control, coordinate, and evaluate workers. In contrast, Algoactivism captures how workers push back, organizing and voicing concerns about these algorithmic systems.
The goal of the seminar is to understand how workers make sense of changes in algorithmic management practices. You’ll work in small teams using real-world data. We’ll provide you several datasets that you can explore. Data includes reviews form the iOS and Android App Stores about the Uber app, patent data from Uber as well as data from the uberpeople.net forum. Through this, you’ll draw theoretical and practical insights from people’s experiences, as shared in online reviews.
Using computational text analysis methods, you’ll learn how to work with large-scale textual data and uncover hidden (latent) topics, giving you valuable skills in both research and data analytics.
Application and examination
Places for the seminar are limited.
During the application period spanning from 01.09.2025 to 03.10.2025 (11:59pm) - you can apply via mail to Eva Hoffmeister.
Please include your CV and transcript of records. We will check your application and get back soon.
The examination consists of a mid-term presentation, a final presentation and a seminar thesis that must be handed in after the final presentation. Please check the date in LSF for further information.
