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Towards a Taxonomy of Incentive Mechanisms for Data Sharing in Data Ecosystems.

Authors :
Gelhaar, Joshua
Gürpinar, Tan
Henke, Michael
Otto, Boris
Source :
Proceedings of the Pacific Asia Conference on Information Systems (PACIS); 2021, p1-14, 14p
Publication Year :
2021

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
Database :
Complementary Index
Journal :
Proceedings of the Pacific Asia Conference on Information Systems (PACIS)
Publication Type :
Conference
Accession number :
151674975