The Rise of Data-Driven Business Models in the Berlin Start-up Scene

Romy Hilbig, Stefanie Hecht, Bennet Etsiwah, Anne-Laure Mention and Marko Torkkeli

Chapter 13 in Managing Digital Open Innovation, 2020, pp 353-377 from World Scientific Publishing Co. Pte. Ltd.

Abstract: With the advent of big data technologies such as cloud computing, internet of things, and artificial intelligence, data-driven business models have become a new unit of analysis in business model research. Tracing back to different roots in scholarly business model literature, researchers have begun to create a new body of work while trying to capture the essence of data-driven businesses. This article provides an overview of this emerging field, combining a systematic literature review with a qualitative desk research of recently founded data-driven and data-enhanced start-ups. To contribute to the discussion, we propose a definition and a taxonomy of data-driven business models. We then proceed to use the taxonomy in order to analyze the business models of 75 Berlin-based start-ups, focusing on four economic sectors.

Keywords: Open Innovation; Digital Disruption; Industry 4.0; Data-Driven Decision; Value Networks; Organizational Agility; Digital Design; Collaboration; Innovation Policy; Social Media; Open Strategy (search for similar items in EconPapers)
JEL-codes: O31 O32 (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (1)

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