Research

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 practice

Conducting and supporting the annual personnel study of the Federal Association of German Cooperative Banks (BVR) with various key topics (e.g. digital transformation)

Implementation and monitoring of the education monitor of the Academy of German Cooperatives (ADG)

Workshops and seminars for ADG and ADG Business School on topics such as AI in HR management, digital transformation, future of work

Publications and awards

A complete overview of Prof. Dr. Anne-Sophie Mayer's publications can be found atGoogleScholar

Mayer, A.-S., Kostis, A., Strich, F., & Holmström, J. (forthcoming). 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).

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.

Winner of Best Paper in Track und 2nd Runner Up für den Kauffman Best Paper Award

Strich, F., Ihl, A., & Mayer, A.-S. (2024). Thriving for Gig Workers’ Career Commitment: The Role of Platform Design Attributes. In: Proceedings of the 45th International Conference on Information Systems (ICIS). Bangkok, Thailand.

Aufnahme in die Best Paper Proceedings der Academy of Management Conference für folgende Paper

Mayer, A.-S., Kostis, A., Strich, F., & Holmström, J. (2024). Boundary Work in Generative AI Platforms: How Platform Providers Manage Complementors’ Changing Role. In: Proceedings of the Academy of Management Conference 2024. Chicago, USA.

Mayer, A.-S., Sergeeva, A., & Hable, F. (2023). The
Future of the Professions Revisited: a Boundary Work Perspective on
Digitalization in Dentistry. In: Proceedings of the Academy of Management Conference 2023. Boston, USA.

Ihl, A., Mayer, A.-S., & Strunk, K. (2022). The Role of Online Platforms in Facilitating Freelancers’ Self-Leadership in the Platform Economy. In: Proceedings of the Academy of Management Conference 2022. Seattle, USA.

Stipendien

2014 – 2025: Stipendiatin des Deutschen Akademischen Austauschdienstes (DAAD)

2013 – 2014: Stipendiatin des Deutschlandstipendiums