Business Data Sharing through Data Marketplaces: A Systematic Literature Review

A.E. Abbas*, W. Agahari, Montijn van de Ven, A.M.G. Zuiderwijk-van Eijk, G.A. de Reuver

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

18 Citations (Scopus)
137 Downloads (Pure)


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.
Original languageEnglish
Pages (from-to)3321-3339
Number of pages19
JournalJournal of Theoretical and Applied Electronic Commerce Research
Issue number7
Publication statusPublished - 2021


  • Business data sharing
  • Data exchange
  • Data marketplaces
  • Data markets
  • Research agenda
  • STOF model
  • Systematic literature review


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