Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/315774 
Year of Publication: 
2024
Citation: 
[Journal:] Electronic Markets [ISSN:] 1422-8890 [Volume:] 34 [Issue:] 1 [Article No.:] 13 [Publisher:] Springer [Place:] Berlin, Heidelberg [Year:] 2024
Publisher: 
Springer, Berlin, Heidelberg
Abstract: 
The automotive industry is relocating from viewing cars as standalone products to an all-encompassing ecosystem built around connected cars enabling data-driven business models. The vastly increasing amount of data collected by connected cars grants a unique driving experience for its users while providing companies operating in the automotive industry access to valuable information and, ultimately, cost and revenue benefits. In this article, we develop an empirically and theoretically grounded taxonomy of data-driven business models in the connected car domain to explore the impact of car connectivity and data availability on business models. Building on this, we conduct a cluster analysis revealing seven business model archetypes for the connected car domain: data platforms, location-based services, fleet management, diagnostics and maintenance, driving analytics, cyber-physical protection, and connected infotainment. Our findings advance the theoretical knowledge of data-driven business models, provide researchers with a systematic analysis of connected car-enabled business models, and enable decision-makers to identify strategic opportunities for leveraging connected car technology to enrich their business portfolios.
Subjects: 
Business models
Connected cars
Data monetization
Taxonomy
Archetypes
Cluster analysis
JEL: 
O3
L8
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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