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Designing Viable Multi-sided Data Platforms: The Case of Context-Aware Mobile Travel Applications

Abstract : Advances in data semantification and natural language querying are enabling new generations of context-aware mobile applications. Such applications would rely on platforms that integrate heterogeneous sets of user data from a range of applications and systems. Designing these platforms is challenging as they should serve multiple user groups at the same time. In this paper, we analyze who should subsidize multi-sided data platforms that enable mobile context-aware travel applications. After analyzing the different user groups and revenue models, we assess end-user acceptance of these revenue models through a survey among 197 potential users. Results show that users willing to share data with app developers are more inclined to use data-driven mobile travel apps but are less inclined to pay for them. This paradoxical result explains why premium-pricing as well as data-monetization strategies can both be viable.
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Mark Reuver, Timber Haaker, Fatemeh Nikayin, Ruud Kosman. Designing Viable Multi-sided Data Platforms: The Case of Context-Aware Mobile Travel Applications. 14th Conference on e-Business, e-Services and e-Society (I3E), Oct 2015, Delft, Netherlands. pp.354-365, ⟨10.1007/978-3-319-25013-7_28⟩. ⟨hal-01448052⟩

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