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  4. Design Options for Data-Driven Business Models in Data-Ecosystems
 
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2022
Conference Paper
Title

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

Abstract
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.
Author(s)
Schweihoff, Julia Christina
Jussen, Ilka
Stachon, Maleen
Möller, Frederik  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Mainwork
INFORMATIK 2022. Informatik in den Naturwissenschaften  
Conference
Gesellschaft für Informatik (Jahrestagung) 2022  
DOI
10.18420/inf2022_30
Language
English
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Keyword(s)
  • Case Study Research

  • Data Ecosystem

  • Data-Driven Business Model

  • Design Options

  • Taxonomy Development

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