Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/71226

32 ways to innovate business models through data: Emerging data-driven solution business model patterns from a study of 471 late stage data-driven startups

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Title:32 ways to innovate business models through data: Emerging data-driven solution business model patterns from a study of 471 late stage data-driven startups
Authors:Eber, René
Schirmer, Julian
Bourdon, Isabelle
Keywords:Innovation and Entrepreneurship: Theory and Practice
business model innovation
business model patterns
data-driven business models
startups.
Date Issued:05 Jan 2021
Abstract:Solution business model patterns, which describe solutions to recurring business problems, play a central role in business innovation as 90% of business model innovations are recombinations of solution business model patterns. Research so far has only identified seven data-driven solution business model patterns limited to revenue models in data-driven services. We have systematically analyzed 471 late stage, data-driven startups, identifying 32 data-driven solution business model patterns. We categorized them along the nine business model building blocks from the business model canvas of Osterwalder and Pigneur. A framework that is often used by practitioners in business model innovation projects. This paper significantly expands the research conducted on data-driven solution business model patterns. Furthermore, the identified data-driven solution business model patterns will support practitioners in data-driven business model innovation.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/71226
ISBN:978-0-9981331-4-0
DOI:10.24251/HICSS.2021.608
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Innovation and Entrepreneurship: Theory and Practice


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