BTU overview
Faculty 5
Chair of General Business Administration, in particular Aspects of Organisation and Corporate Governance Vertret.-Prof. Dr. rer. pol. Alexander Martin

Anja Beuster Graduate social scientist

Contact information

anja.beuster(at)th-wildau.de

Doctoral project

Working title: AI cooperation systems - perspectives on the design of cooperation in the application of artificial intelligence

The doctoral project deals with the question of what role AI cooperations play in the development of organisational ambidexterity in companies. A special focus is placed on the design options for SMEs to expand established value creation potential through cooperation in the sense of exploitation on the one hand and to open up new fields of action in the sense of exploration on the other.

Key research areas

  • Cooperation in the SME sector
  • Artificial intelligence in application
  • AI cooperation as a resource for organisational ambidexterity

Career

PeriodActivity
Since 2025PhD student at the Technical University of Applied Sciences Wildau in the interdisciplinary research group iC3@Smart Production and at the BTU Cottbus - Senftenberg in the chair of ABWL, in particular Organisation and Business Management
Since 2022Network manager of NET4AI - Network for Artificial Intelligence at TWZ e.V. at Wildau University of Applied Sciences
2021 - 2022Traffic Consultant at the planzeit-beuster GmbH
2011 - 2021Innovation Manager at the EICT GmbH
2008 - 2011Research assistant at Daimler AG and Daimler-Benz Foundation
2005 - 2008Scholarship holder in the DFG Graduate College "Pathways of Organisational Processes"
2004Diploma in Social Sciences, Humboldt University of Berlin

Publications

Beuster, A., Reiff-Stephan, J. (2025): KI-Kooperationssysteme - Ein Forschungsansatz zur Analyse von Kooperationsnetzwerken in der Anwendung Künstlicher Intelligenz, in: Lucke, U. et al. (eds.): INFORMATIK 2025, Lecture Notes in Informatics (LNI), Gesellschaft für Computer Science , Bonn 2025, 1373 - 1380.

Reiff-Stephan, J.; Beuster, A. (2025), (eds.): Wildauer Konferenz für Künstliche Intelligenz - Conference Proceedings. TIB Open Publishing, DOI: https://doi.org/10.52825/th-wildau-ensp.v2i

Beuster, A. et al (2021): Deployment strategies and business models for Automated Driving, Deliverable D1.6 of the EU-funded project L3Pilot, September 2021.

Nordhoff, S.; Beuster, A. et al.(2020): Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries, Transportation Research Part F 74 (2020), 280-297.

Beuster, A. et al. (2020): Trends and business scenarios, Deliverable D1.5 of the EU-funded project L3Pilot, November 2020