INNOVATION

My work in innovation and research is driven by a clear ambition: to translate deep analytical thinking into measurable impact for organizations, ecosystems, and society. I operate at the intersection of innovation management, media and data systems, and sustainability, combining academic research with executive practice and board-level perspectives.

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Innovation from First Principles

My academic research is rooted in First Principles Thinking — the systematic questioning and reconstruction of assumptions to design innovation at its core rather than optimizing existing solutions. In my doctoral work (Dr. rer. soc. oec., cum laude), I focused on agile product and content development in the creative industries, examining how innovation emerges in complex, fast-moving ecosystems characterized by uncertainty, creativity, and high coordination needs.

My research analyzed how agility, governance structures, and decision-making models influence innovation outcomes, particularly in content- and media-driven environments. These insights form the conceptual backbone of my ongoing work in innovation systems, organizational design, and transformation.

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From Innovation Theory to Organizational Impact

Beyond academia, I have consistently applied these principles in practice — as an executive, consultant, and board member. I design and scale innovation architectures that integrate strategy, governance, culture, and execution. This includes:

• Building and leading innovation and sustainability organizations

• Designing agile operating models and KPI systems

• Translating innovation strategy into market-ready products, services, and communication systems

Across all contexts, my approach starts from first principles: What problem are we truly solving? What assumptions need to be challenged? What system needs to be redesigned?

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Innovation, Data & Sustainability

A central focus of my work lies in the integration of innovation and sustainability. I approach sustainability not as a compliance exercise, but as a strategic innovation field that requires new systems, incentives, and decision frameworks.

My work in this space includes:

• Developing sustainability and ESG strategies grounded in data and impact metrics

• Designing circular and regenerative innovation models

• Applying AI- and data-driven approaches to optimize sustainability outcomes across value chains

Here, innovation becomes a lever for resilience, long-term value creation, and systemic change.

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AI-Enabled Research & Future-Oriented Innovation

To further deepen this work, I continuously expand my research and practice in AI-enabled innovation and decision-making, including executive education in Artificial Intelligence at the Saïd Business School, University of Oxford. My current focus lies on how AI can support first-principles analysis, scenario thinking, and complex system design in innovation and sustainability contexts.

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RESEARCH

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