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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.
Cited literature [10 references]
https://hal.inria.fr/hal-01448052
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, January 27, 2017 - 2:44:57 PM
Last modification on : Saturday, November 18, 2017 - 6:16:02 PM
Long-term archiving on: : Saturday, April 29, 2017 - 12:02:57 AM
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, January 27, 2017 - 2:44:57 PM
Last modification on : Saturday, November 18, 2017 - 6:16:02 PM
Long-term archiving on: : Saturday, April 29, 2017 - 12:02:57 AM
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371453_1_En_28_Chapter.pdf
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Distributed under a Creative Commons Attribution 4.0 International License