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December 12, 2023
Conference Paper
Title

Developing a Taxonomy for Revenue Models of Platform Business Models

Abstract
Platform business models like Uber Ride or Airbnb Lodging enable innovative business models by operating digital platforms to connect providers and consumers of products and services in two-sided markets. A particular challenge with platform business models is designing an appropriate revenue model to capture value. This paper presents a taxonomy that classifies the different dimensions and characteristics of revenue models for platform business models. A proven taxonomy development method is used that includes a review of current literature related to platform business models. The taxonomy provides a comprehensive classification of platform revenue models and is applied to a real-life case. The results of this paper include a UML class model and a final taxonomy with 14 dimensions and 64 characteristics. The paper contributes to the design process of novel platform business models and expands the understanding of how digital platforms can generate revenues.
Author(s)
Bartels, Nedo Alexander  orcid-logo
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Koch, Matthias  orcid-logo
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
Gordijn, Jaap
Mainwork
36th Bled eConference Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability 2023. Conference Proceedings  
Conference
Digital Economy and Society - The Balancing Act for Digital Innovation in Times of Instability (eConference) 2023  
Open Access
DOI
10.18690/um.fov.6.2023.1
Additional full text version
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Language
English
Fraunhofer-Institut für Experimentelles Software Engineering IESE  
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