The Business Model Pattern Database: A Tool for Systematic BMI

Gerrit Remané (), Andre Hanelt (), Jan F. Tesch () and Lutz M. Kolbe ()
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Gerrit Remané: University of Göttingen
Andre Hanelt: University of Göttingen
Jan F. Tesch: University of Göttingen
Lutz M. Kolbe: University of Göttingen

A chapter in Business Model Innovation in the Era of the Internet of Things, 2019, pp 89-144 from Springer

Abstract: Abstract Companies are more frequently seen shifting their focus from technological innovation towards business model innovation. One efficient option for business model innovation is to learn from existing solutions, i.e., business model patterns. However, the various understandings of the business model pattern concept are often confusing and contradictory, with the available collections incomplete, overlapping, and inconsistently structured. Therefore, the rich body of literature on business model patterns has not yet reached its full potential for both practical application as well as theoretic advancement. To help remedy this, we conduct an exhaustive review, filter for duplicates, and structure the patterns along several dimensions by applying a rigorous taxonomy-building approach. The resulting business model pattern database allows for navigation to the relevant set of patterns for a specific impact on a company’s business model. It can be used for systematic business model innovation, which we illustrate via a simplified case study.

Keywords: Business models; Business model innovation; Business model patterns; Taxonomy development (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-98723-1_5

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DOI: 10.1007/978-3-319-98723-1_5

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