Auf dieser Seite sehen Sie eine Auswahl der Publikationen der Forschungsgruppe „Datenbasierte Geschäftsmodellinnovationen“.


Gagrčin, E., Schaetz, N., Rakowski, N., Toth, R., Renz, A., Vladova, G., Emmer, M. 2021. We and AI – Living in a Datafied World: Experiences & Attitudes of Young Europeans. Berlin: Weizenbaum Institute for the Networked Society – The German Internet Institute; Goethe-Institut e.V.

Renz, A., Braun, A., Vladova, G. 2021. The impact of business model innovation in the hospitality industry during the COVID-19 pandemic. Presented at the EURAM Virtual - Reshaping capitalism for a sustainable world.

Renz, A., & Vladova, G. 2021. Reinvigorating the Discourse on Human-Centered Artificial Intelligence in Educational Technologies. Technology Innovation Management Review, 11(5): 5-16.

Renz, A., Hellmuth, D., Vladova, G. 2021. Canvas Digitaler Unterricht, Weizenbaum Whitepaper, Berlin.

Etsiwah, B., Renz, A. 2021. Data Awareness Canvas, Weizenbaum Whitepaper, Berlin.

Mergel, Ines, Brahimi, Almire, Hecht, Stefanie (2021). Kompetenzen für die Anwendung der Arbeitsweisen und Methoden der OZG-Digitalisierungslabore. Universität Konstanz OPAS-Plattform Serie. Nr. 002020:

Hilbig, R., Hecht, S., Etsiwah, B. 2020. The Rise of Data-Driven Business Models in the Berlin Start-up Scene, in: Barlatier, P.-J., Mention, A.-L. (Ed.) (2020). Managing Digital Open Innovation, World Scientific Publishing, pp. 353-377.

Renz, A., Krishnaraja, S. 2020. Toward Responsible, Human-Centered AI in EdTech. Presented at ISPIM Connects Global 2020: Celebrating the World of Innovation – Virtual.

Renz, A., Etsiwah, B. 2020. Datenkultur und KI-Kompetenzen an Hochschulen, in: de Witt, C., Rampelt, F., Pinkwart, N. (Hrsg.) (2020). Künstliche Intelligenz in der Hochschulbildung. Whitepaper. Berlin: KI-Campus.

Renz, A., Krishnaraja, S., Schildhauer, T. (2020). A new dynamic for EdTech in the age of pandemics. Presented at the ISPIM Innovation Conference – Virtual.

Renz, A., Hilbig, R., 2020. Prerequisites for artificial intelligence in further education: identification of drivers, barriers, and business models of educational technology companies. Int. J. Educ. Technol. High. Educ. 17, 14.

Renz, A., Krishnaraja, S., Gronau, E., 2020. Demystification of Artificial Intelligence in Education – How much AI is really in the Educational Technology? Int. J. Learn. Anal. Artif. Intell. Educ. IJAI 2, 14.

Vladova, G., Renz, A., Heuts, A. (2020). Ready to innovate? A self-assessment tool for schools on the edge towards digital education. Presented at the ISPIM Innovation Conference – Virtual.

Etsiwah, B., Hecht, S., Hilbig, R., 2019. An Interdisciplinary Exploration of Data Culture and Vocational Training, in: Weizenbaum Conference.

Etsiwah, B., Hilbig, R., 2019. What is Data Strategy? An Analysis of an ambiguous Concept. Presented at the ISPIM Innovation Conference – Celebrating Innovation: 500 Years Since daVinci, Florence, Italy.

Hecht, S., 2019. Improving UX of Open Government Data Platforms. Presented at the ISPIM Innovation Conference – Celebrating Innovation: 500 Years Since daVinci, Florence, Italy.

Hilbig, R., Nirenberg, N., 2019. Becoming International – The Business Model Innovation Process of VET Providers. Presented at the 19th EURAM, Lisbon (Portugal), pp. 1–40.

Hilbig, R., Renz, A., Schildhauer, T., 2019. Data Analytics: The Future of Innovative Teaching and Learning. Presented at the ISPIM Innovation Conference – Celebrating Innovation: 500 Years Since daVinci, Florence, Italy, p. 16.

Hilbig, R., Etsiwah, B., Hecht, S., 2018. Berlin Start-ups–The Rise of Data-Driven Business Models, in: ISPIM Innovation Symposium. The International Society for Professional Innovation Management (ISPIM).

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