Business model archetypes for data marketplaces in the automotive industry: Contrasting business models of data marketplaces with varying ownership and orientation structures
Data economy; Automotive industry; Business model; Data marketplaces
Abstract :
[en] 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.
Research center :
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > FINATRAX - Digital Financial Services and Cross-organizational Digital Transformations
Disciplines :
Management information systems Computer science
Author, co-author :
Bergman, Rômy; Faculty of Technology, Policy and Management, Delft University of Technology, Delft, Netherlands
ABBAS, Antragama Ewa ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > FINATRAX ; Faculty of Technology, Policy and Management, Delft University of Technology, Delft, Netherlands
Jung, Sven; Institute of Technology Management (ITEM), University of St. Gallen, St. Gallen, Switzerland
Werker, Claudia; Faculty of Technology, Policy and Management, Delft University of Technology, Delft, Netherlands
de Reuver, Mark; Faculty of Technology, Policy and Management, Delft University of Technology, Delft, Netherlands
External co-authors :
yes
Language :
English
Title :
Business model archetypes for data marketplaces in the automotive industry: Contrasting business models of data marketplaces with varying ownership and orientation structures
Publication date :
May 2022
Journal title :
Electronic Markets
ISSN :
1019-6781
eISSN :
1422-8890
Publisher :
Springer Science and Business Media Deutschland GmbH
The research leading to these results has received funding from the European Union’s Horizon 2020 Research and Innovation Programme, under Grant Agreement no 871481 – Trusted Secure Data Sharing Space (TRUSTS), from the H2020-ICT-2018-20/H2020-ICT-2019-2 Call. This paper is partly based on the thesis work of Bergman ().
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