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2019 | OriginalPaper | Buchkapitel

The Business Model Pattern Database: A Tool for Systematic BMI

verfasst von : Gerrit Remané, Andre Hanelt, Jan F. Tesch, Lutz M. Kolbe

Erschienen in: Business Model Innovation in the Era of the Internet of Things

Verlag: Springer International Publishing

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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.

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Metadaten
Titel
The Business Model Pattern Database: A Tool for Systematic BMI
verfasst von
Gerrit Remané
Andre Hanelt
Jan F. Tesch
Lutz M. Kolbe
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-319-98723-1_5

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