Prof. Dr Mario Bosslau
Digital Business Management
Teaching · Research · Transfer
Mario Boßlau is Professor of Digital Business Management at Pforzheim University. His research focuses on digital business models, business model engineering, innovation management, as well as generative artificial intelligence and automation. For his academic contributions, he has received several accolades, including the Gert-von-Kortzfleisch Award. His teaching and research combine methodological rigor with practical relevance, preparing the next generation of leaders for the digital economy.
Latest Articles
This section provides background information, conference reports, and recent developments in the field of Digital Business Management. Posts highlight ongoing activities and offer insights into research, teaching, and practice.
German book on the success factors of platform business models published by Springer-Verlag
The German book "Erfolgsfaktoren von Plattform-Geschäftsmodellen: Exemplarische Analyse des Geschäftsmodells der Livestreaming-Plattform Twitch" has been published by Springer Verlag. In this book, the success factors of platform business models are analysed using the...
Business Model Engineering for Smart Product-Service Systems
The emergence of intelligent digital products and services opens up new possibilities for the innovation of business models. Smart product-service systems integrate digitalised components to offer a seamless customer experience that dynamically adapts to changing...
Trainer
Digital Business, AI & EdTech
Design and delivery of digital training programs with a focus on Digital Business, generative AI, EdTech, and lean automation. These formats equip students and professionals to meet the demands of digital transformation.
Author
Digital Resources
Publications on digital business models, innovation management, and the potential of generative AI and automation document research findings and contribute to the advancement of academic discourse.
Professor
Research and Innovation
Research emphasizes dynamic business models, smart product-service systems, and the use of generative AI and automation. Collaborative projects with industry partners produce solutions that are academically sound and practically applicable.
New ideas emerge through dialogue.
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