Abstract
Mobile computing and the Internet of Things promises massive amounts of data for big data analytic and machine learning. A data sharing economy is needed to make that data available for companies that wish to develop smart systems and services. While digital markets for trading data are emerging, there is no consolidated understanding of how to price data products and thus offer data vendors incentives for sharing data. This paper uses a combined keyword search and snowballing approach to systematically review the literature on the pricing of data products that are to be offered on marketplaces. The results give insights into the maturity and character of data pricing. They enable practitioners to select a pricing approach suitable for their situation and researchers to extend and mature data pricing as a topic.
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Acknowledgments
The presented work was funded by the European Union’s Horizon 2020 research and innovation program under grant agreement No. 732204 (Bonseyes) and by the Swiss State Secretariat for Education‚ Research and Innovation (SERI) under contract number 16.0159. The opinions expressed and arguments employed herein do not necessarily reflect the official views of these funding bodies.
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Appendix: Bibliography of Included Papers
Appendix: Bibliography of Included Papers
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Balazinska, M., Howe, B., Koutris, P., Suciu, D., & Upadhyaya, P.: A discussion on pricing relational data. Search of Elegance in the Theory and Practice of Computation. In: Search of Elegance in the Theory and Practice of Computation. 167-173, Springer (2013)
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Fricker, S.A., Maksimov, Y.V. (2017). Pricing of Data Products in Data Marketplaces. In: Ojala, A., Holmström Olsson, H., Werder, K. (eds) Software Business. ICSOB 2017. Lecture Notes in Business Information Processing, vol 304. Springer, Cham. https://doi.org/10.1007/978-3-319-69191-6_4
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