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  4. Characterization of Relationships in Data Ecosystems
 
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2022
Conference Paper
Title

Characterization of Relationships in Data Ecosystems

Abstract
The importance of data as a strategic resource for the development of innovation is steadily growing. Data-driven value creation increasingly requires cross-company collaboration between various actors with different roles in so-called data ecosystems. So far, however, the existing knowledge in the research field around data ecosystems is still relatively limited. In particular, the relationships and interdependencies between the different actors in a data ecosystem are not well understood yet. To address this research gap, we conduct a structured literature review and interview eleven experts from practice to identify characteristics of relationships between actors in data ecosystems. Among other things, the results show that both tangible characteristics, such as a clear exchange of values, and intangible characteristics, such as trust, are distinguishing features of the relationships between actors in data ecosystems. These study results can serve as a tool for both researchers and practitioners to better understand data ecosystems in general and the relationships and interactions that occur within them.
Author(s)
Gelhaar, Joshua  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Becker, Felix
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Groß, Tobias
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Mainwork
Conference on Production Systems and Logistics, CPSL 2022. Proceedings  
Conference
Conference on Production Systems and Logistics 2022  
DOI
10.15488/12159
Language
English
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Keyword(s)
  • Characterization

  • Data Ecosystems

  • Data Sharing

  • Expert Interviews

  • Literature Review

  • Relationships

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