A Taxonomy for Platform Revenue Models: An Empirical-to-Conceptual Development Approach

Nedo Bartels*, Matthias Koch, Anna Schmitt, Jaap Gordijn

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Abstract

In the field of Information Systems and Software Engineering, taxonomies are widely employed to organize and present well-designed knowledge. They play a crucial role in identifying relevant dimensions and characteristics associated with the objects under study. This paper focuses specifically on revenue models for platform business models, which facilitate the connection between providers and consumers in two-sided markets. For example, the Vinted Marketplace charges a transaction-based fee of 5% for each item sold, while nebenan.de offers platform access for a monthly subscription fee. Although these revenue model types differ, they both lead to distinctive and successful revenue models. Understanding and formalizing these revenue mechanisms is fundamental for the systematic design of revenue models for platform business models. This paper follows a proven taxonomy development method with two empirical-to-conceptual iteration cycles involving seven use cases. It introduces a comprehensive taxonomy comprising 15 dimensions and 79 characteristics. The proposed taxonomy contributes to the formalization of revenue models for platform business models and enhances the current understanding of the monetization strategies used by digital platforms to generate revenues. This paper supports researchers and practitioners involved in the design process of platform business models.

Original languageEnglish
Title of host publicationEnterprise Design, Operations, and Computing
Subtitle of host publication27th International Conference, EDOC 2023, Groningen, The Netherlands, October 30 – November 3, 2023, Proceedings
EditorsHenderik A. Proper, Luise Pufahl, Dimka Karastoyanova, Marten van Sinderen, João Moreira
PublisherSpringer Science and Business Media Deutschland GmbH
Pages189-205
Number of pages17
ISBN (Electronic)9783031465871
ISBN (Print)9783031465864
DOIs
Publication statusPublished - 2024
Event27th International Conference on Enterprise Design, Operations, and Computing, EDOC 2023 - Groningen, Netherlands
Duration: 30 Oct 20233 Nov 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14367 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference27th International Conference on Enterprise Design, Operations, and Computing, EDOC 2023
Country/TerritoryNetherlands
CityGroningen
Period30/10/233/11/23

Bibliographical note

Publisher Copyright:
© 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

  • Digital Platform
  • Platform Business Model
  • Revenue Model
  • Taxonomy

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