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Pricing of Data Products in Data Marketplaces

  • Samuel A. Fricker
  • Yuliyan V. Maksimov
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 304)

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.

Keywords

Data pricing Data marketplace Systematic literature review 

Notes

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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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.i4Ds Centre for Requirements EngineeringUniversity of Applied Sciences Northwestern Switzerland (FHNW)WindischSwitzerland
  2. 2.Software Engineering Research Laboratory (SERL-Sweden)Blekinge Institute of TechnologyKarlskronaSweden

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