Location
Online
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2022 12:00 AM
End Date
7-1-2022 12:00 AM
Description
The amount of data generated by a single modern vehicle is exploding. Consequently, the entire global automotive industry is facing the question of how to monetize this valuable data. Triggered by the connectivity trend, data-driven business models disrupt the automotive ecosystem by changing mobility behavior, proliferation of technical enablers, new strategic collaborations, and shifting revenue streams. In this study, we analyze the existing body of literature on data-driven business models in the connected car domain and structure it according to four dimensions---value proposition, value architecture, value network, and value finance. Thereby, we contribute to the business model research by providing a comprehensive overview and categorization of existing works in this area and laying the foundation for future research.
Monetizing Car Data: A Literature Review on Data-Driven Business Models in the Connected Car Domain
Online
The amount of data generated by a single modern vehicle is exploding. Consequently, the entire global automotive industry is facing the question of how to monetize this valuable data. Triggered by the connectivity trend, data-driven business models disrupt the automotive ecosystem by changing mobility behavior, proliferation of technical enablers, new strategic collaborations, and shifting revenue streams. In this study, we analyze the existing body of literature on data-driven business models in the connected car domain and structure it according to four dimensions---value proposition, value architecture, value network, and value finance. Thereby, we contribute to the business model research by providing a comprehensive overview and categorization of existing works in this area and laying the foundation for future research.
https://aisel.aisnet.org/hicss-55/da/smart_mobility/2