PACIS 2021 Proceedings
Paper Type
FP
Paper Number
359
Abstract
In the increasingly connected business world, economic value is created less and less by one company alone but rather through the combination and enrichment of data by various actors in so-called data ecosystems. However, one of the main obstacles to why actors are currently not motivated to engage in data ecosystems is that they are often not aware of the actual benefits of cross-organisational data sharing. This is partly because it is in many cases unclear what the incentives and ultimately the added value are for data providers when they share their data with others. To address this research gap we develop a taxonomy of incentive mechanisms for data sharing in data ecosystems which is based on a structured literature review. The resulting taxonomy consists of key dimensions and characteristics of incentive mechanisms for data sharing in data ecosystems and contributes to a better scientific understanding of these concepts.
Recommended Citation
Gelhaar, Joshua; Gürpinar, Tan; Henke, Michael; and Otto, Boris, "Towards a taxonomy of incentive mechanisms for data sharing in data ecosystems" (2021). PACIS 2021 Proceedings. 121.
https://aisel.aisnet.org/pacis2021/121
When commenting on articles, please be friendly, welcoming, respectful and abide by the AIS eLibrary Discussion Thread Code of Conduct posted here.