Business model archetypes for data marketplaces in the automotive industry

Rômy Bergman (), Antragama Ewa Abbas (), Sven Jung (), Claudia Werker () and Mark de Reuver ()
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Rômy Bergman: Delft University of Technology
Antragama Ewa Abbas: Delft University of Technology
Sven Jung: University of St. Gallen
Claudia Werker: Delft University of Technology
Mark de Reuver: Delft University of Technology

Electronic Markets, 2022, vol. 32, issue 2, No 23, 747-765

Abstract: Abstract Policymakers and analysts are heavily promoting data marketplaces to foster data trading between companies. Existing business model literature covers individually owned, multilateral data marketplaces. However, these particular types of data marketplaces hardly reach commercial exploitation. This paper develops business model archetypes for the full array of data marketplace types, ranging from private to independent ownership and from a hierarchical to a market orientation. Through exploratory interviews and case analyses, we create a business model taxonomy. Patterns in our taxonomy reveal four business model archetypes. We find that privately-owned data marketplaces with hierarchical orientation apply the aggregating data marketplace archetype. Consortium-owned data marketplaces apply the archetypes of aggregating data marketplace with additional brokering service and consulting data marketplace. Independently owned data marketplaces with market orientation apply the facilitating data marketplace archetype. Our results provide a basis for configurational theory that explains the performance of data marketplace business models. Our results also provide a basis for specifying boundary conditions for theory on data marketplace business models, as, for instance, the importance of network effects differs strongly between the archetypes.

JEL-codes: L10 L22 L86 L89 Z00 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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DOI: 10.1007/s12525-022-00547-x

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