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  4. Motives and Incentives for Data Sharing in Industrial Data Ecosystems: An Explorative Single Case Study
 
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2023
Conference Paper
Title

Motives and Incentives for Data Sharing in Industrial Data Ecosystems: An Explorative Single Case Study

Abstract
The increasing connectivity of the business world leads to economic value being created less and less by one company alone, but rather through the exchange and combination of data by various actors in so-called data ecosystems. However, many companies are not yet willing to participate in data ecosystems because they do not see the added value of their participation. This is partly because the motives of data providers do not match the incentives offered to share their data. So far, there are only very few studies that deal with this issue in detail. Therefore, we close this research gap by adopting a conceptual model to the issue of motives and incentives for data sharing and applying it to the industrial data ecosystem Catena-X in a single case study. Through the case study analysis, we can identify seven different motives and eight incentives for data sharing.
Author(s)
Gelhaar, Joshua  
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Müller, Paul
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Bergmann, Nils
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Dogan, Rojda
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Mainwork
56th Annual Hawaii International Conference on System Sciences 2023. Proceedings  
Conference
Hawaii International Conference on System Sciences 2023  
Link
Link
Language
English
Fraunhofer-Institut für Software- und Systemtechnik ISST  
Keyword(s)
  • data ecosystems

  • data sharing

  • incentives

  • motives

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