Business Data Sharing through Data Marketplaces

A Systematic Literature Review

Review (2021)
Authors

A.E. Abbas (TU Delft - Information and Communication Technology)

W. Agahari (TU Delft - Information and Communication Technology)

Montijn van de Ven (Eindhoven University of Technology)

A.M.G. Zuiderwijk-van Eijk (TU Delft - Information and Communication Technology)

GA De Reuver (TU Delft - Information and Communication Technology)

Research Group
Information and Communication Technology
Copyright
© 2021 A.E. Abbas, W. Agahari, Montijn van de Ven, A.M.G. Zuiderwijk-van Eijk, Mark de Reuver
To reference this document use:
https://doi.org/10.3390/jtaer16070180
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 A.E. Abbas, W. Agahari, Montijn van de Ven, A.M.G. Zuiderwijk-van Eijk, Mark de Reuver
Research Group
Information and Communication Technology
Issue number
7
Volume number
16
Pages (from-to)
3321-3339
DOI:
https://doi.org/10.3390/jtaer16070180
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Abstract

Data marketplaces are expected to play a crucial role in tomorrow’s data economy, but such marketplaces are seldom commercially viable. Currently, there is no clear understanding of the knowledge gaps in data marketplace research, especially not of neglected research topics that may advance such marketplaces toward commercialization. This study provides an overview of the state-of-the-art of data marketplace research. We employ a Systematic Literature Review (SLR) approach to examine 133 academic articles and structure our analysis using the Service-Technology-Organization-Finance (STOF) model. We find that the extant data marketplace literature is primarily dominated by technical research, such as discussions about computational pricing and architecture. To move past the first stage of the platform’s lifecycle (i.e., platform design) to the second stage (i.e., platform adoption), we call for empirical research in non-technological areas, such as customer expected value and market segmentation.