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Design Options for Data-Driven Business Models in Data-Ecosystems

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2022

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Gesellschaft für Informatik, Bonn

Zusammenfassung

Data has fundamentally changed the way companies cooperate. Traditional strategies of companies require to be rethought, revisioned, and reimagined based on the new environment of the data economy. Data as a key resource opens up new opportunities that companies need to leverage in data-driven business models (DDBM). Instead of acting in a vacuum, working together and creating value conjointly in an ecosystem based on data is paramount to success. Although DDBMs and ecosystems are not new, per se, there has been a lack of an overarching view of how many DDBMs interact in the context of ecosystems. The paper starts at this point as it develops a taxonomy of these business models in ecosystems. Thus, it contributes to helping researchers and practitioners understand the specifics of data-driven business models working in ecosystems.

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Schweihoff,Julia Christina; Jussen,Ilka; Stachon,Maleen; Möller,Frederik (2022): Design Options for Data-Driven Business Models in Data-Ecosystems. INFORMATIK 2022. DOI: 10.18420/inf2022_30. Gesellschaft für Informatik, Bonn. PISSN: 1617-5468. ISBN: 978-3-88579-720-3. pp. 331-345. Nachhaltige Wertschöpfungssysteme (NaWerSys) II. Hamburg. 26.-30. September 2022

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