Research
What we do.
Main research areas and activities with a focus on transferring research and practical applications
Main research areas
Technological change and the transformation of work
Digital technologies are not only changing who works, but above all how work is done. Automated workflows, cloud-based tools and networked systems are increasingly shaping the flow of work processes - from communication and coordination to decision-making. Process logics, interfaces and responsibilities are shifting. Our research examines how these changes affect efficiency, control, collaboration and the role of human agency.
(Generative) artificial intelligence in knowledge work
Artificial intelligence is increasingly being used in knowledge work to support complex thought, analysis and decision-making processes. AI systems are taking on tasks such as text creation, data analysis and research, thereby changing the role of employees. Our research examines how these changes affect work content, skills and responsibilities.
The latest projects also focus in particular on generative AI. Generative AI such as ChatGPT or image generators are shaping a new phase in the automation of creative and intellectual activities. Their integration into work processes opens up new opportunities for innovation, but also raises questions about quality, authorship and control. The effects on professional fields, learning processes and work cultures are the central focus of current research.
Algorithmic management
Algorithmic management describes the use of digital systems to manage, evaluate and control work. Particularly in platform-based or automated work environments, algorithms take on tasks that were traditionally the responsibility of middle management. This raises questions about transparency, fairness and co-determination - and permanently changes power relations in the work context.
Digital platform work
Platform work stands for new forms of work organization in which digital platforms mediate supply and demand. Whether in food delivery, crowdworking or the creative industries - platforms structure work processes, set rules and influence working conditions. Our research deals with regulation, social security and the question of how fair platform work can be organized.
Activities with a focus on transferring research and practical applications
- Conduct and support personnel surveys regarding various personnel and technology topics
- Support the implementation of digital innovations (e.g., generative AI)
- Workshops and seminars on topics such as:
- AI in HR management
- Generative AI and changes in skills and expertise
- Future of work
Publications and external funding
Publications
Overview of publications
A complete overview of Prof. Dr. Anne-Sophie Mayer's publications can be found atGoogleScholar
Selected journal publications
- Mayer, A.-S., Kostis, A., Strich, F., & Holmström, J. (2025). Shifting Dynamics: How Generative AI as a Boundary Resource Reshapes Digital Platform Governance. Journal of Management Information Systems.
- Mayer, A.-S., Ihl, A., Grabl, S., Strunk, K., & Fiedler, M. (2024). A Silver Lining for the Excluded: Exploring Experiences that Micro-Task Crowdsourcing Affords Workers with Impaired Work Access. Information Systems Journal.
- Monod, E., Mayer, A.-S., Straub, D., Joyce, E., & Qi, J. (2024). From Worker Empowerment to Managerial Control: The Devolution of AI Tools’ Intended Positive Implementation to their Negative Consequences. Information and Organization, 34(1), 100498.
- Knott, M., Strich, F., Strunk, K., & Mayer, A.-S. (2022). Uncovering Potential Barriers of Using Initial Coin Offerings to Finance Artistic Projects. Journal of Cultural Economics.
- Strich, F., Mayer, A.-S., & Fiedler, M. (2021). What Do I Do in a World of Artificial Intelligence? Investigating the Impact of Substitutive Decision-Making AI Systems on Employees’ Professional Role Identity. Journal of the Association of Information Systems, 22(2).
- Mayer, A.-S., Strich, F., & Fiedler, M. (2020). Unintended Consequences of Introducing AI Systems for Decision Making. MIS Quarterly Executive, 19(4).
Book articles
- Mayer, A.-S. & Strich, F. (2024). Who am I in the Age of AI? Exploring Dimensions that Shape Occupational Identity in the Context of AI for Decision Making. In: Constantiou, I., Joshi, M. P., & Stelmaszak, M. (Eds.), Research Handbook on AI and Decision Making in Organizations. Edward Elgar Publishing.
- Mayer, A.-S. & Strich, F. (2024). Barriers to a Successful Digital Transformation and How to Mitigate Them: Insights from the Banking Industry. In: Monod, E. & Jiang, Y. (Eds.), Digital Transformation: Organizational Challenges and Management Transformation Methods. Information Age Publishing.
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