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Name Your Own Price on Data Marketplaces
Volume 28, Issue 1 (2017), pp. 155–180
Pub. online: 1 January 2017      Type: Research Article      Open accessOpen Access
Received
1 November 2016
Accepted
1 March 2017
Published
1 January 2017

Abstract

A novel approach to pricing on data marketplaces is proposed, which is based on the Name Your Own Price (NYOP) principle: customers suggest their own price for a (relational) data product and in return receive a custom-tailored one. The result is a fair pricing scheme where sellers can achieve a higher revenue, while buyers receive a product which matches both their preferences and budget. NYOP is contrasted with previous research on view-based pricing on data marketplaces as well as on discount schemes to increase revenue.

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Biographies

Stahl Florian
florian.stahl@uni-muenster.de

F. Stahl holds a PhD in Information Systems (Münster University, Germany), an MSc in E-Business and Information System (Newcastle University, UK) and a BA in Business Administration (Giessen University, Germany). Currently, he is a post doc at the Information Systems department of Münster University, Germany, working in the Databases and Information Systems (DBIS) Group lead by Prof. Vossen. His current research focus is on efficient on-demand provisioning of data and information tailored to users’ or a community’s needs as well as on finding appropriate pricing models for such services.

Vossen Gottfried
g.v@wwu.de

G. Vossen is a professor of Computer Science in the Department of Information Systems at the University of Münster in Germany. He is a fellow of the German Computer Science Society and an honorary professor at the University of Waikato Management School in Hamilton, New Zealand. He received his master’s and PhD degrees as well as the German Habilitation from the Technical University of Aachen in Germany, and is the European Editor-in-Chief of Elsevier’s Information Systems – An International Journal. His current research interests include conceptual as well as application-oriented challenges concerning databases, information systems, business process modelling, and Web 2.0 applications, cloud computing, and big data.


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Keywords
data pricing data quality data marketplaces

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