Overview

Our vision is to combine methodologically excellent research with high practical relevance and to create sustainable added value for business and society. We work closely and on a long-term basis with companies of various sizes and from diverse industries.

We publish our research findings in leading international journals (VHB-JQ 2024), including MIS Quarterly (A+), Information Systems Research (A+), Information Systems Journal, Journal of Information Technology, Journal of Strategic Information Systems, Journal of the Association for Information Systems, and the European Journal of Information Systems (all A). Several have received Best Paper Awards.

Editorial articles by Prof. Dr. Peter Buxmann have appeared in publications such as the Frankfurter Allgemeine Zeitung, the Süddeutsche Zeitung, and the Harvard Business Manager.

Research Focus: Artificial Intelligence in Business and the Workplace

For more than ten years, we have been researching how artificial intelligence is changing business and the workplace – with the aim of actively shaping this transformation. Our focus is on generative artificial intelligence (GenAI), one of the most influential technologies of recent decades.

Generative AI is fundamentally changing knowledge-based work: It generates texts, develops software, analyzes complex data, and increasingly acts as an autonomous AI agent. This is fundamentally shifting productivity boundaries, decision-making processes, and role models within companies. We are researching how these new technologies can be used in an economically sound, organizationally sustainable, and responsible manner.

We combine technological excellence with questions of value creation, organization, and work. We investigate how companies can strategically deploy GenAI, further develop business models, and redesign processes. At the same time, we analyze the impact on job profiles, skill requirements, and the collaboration between humans and AI—and how companies can actively shape change.

Our research focuses on, among other things:

• Generative AI and AI agents in knowledge-intensive work processes

• AI-supported decision-making and management support

• Productivity and innovation potential of GenAI

• Transformation of work, qualifications, and training

• Acceptance, governance, and responsible use of AI

We value the integration of scientific excellence and business transfer. Our research findings are directly applied in practice – including through the founding of our own startup in the field of generative AI, where we translate scientific insights into scalable solutions for businesses. – Should Genow be explicitly mentioned?

We understand AI as a societal project. Through lectures, consulting, media contributions, and co-hosting a FAZ podcast, we contribute our research to the public discourse. Our goal is to provide a well-founded explanation, beyond hype and pessimism, of how AI can be used productively, responsibly, and with a focus on the future.

We don't just research what AI can do – but what it should achieve for business and the world of work. Today and tomorrow.