BEGIN:VCALENDAR VERSION:2.0 PRODID:-//Vrije Universiteit Amsterdam//NONSGML v1.0//EN NAME:PhD defence N.A. Bartels METHOD:PUBLISH BEGIN:VEVENT DTSTART:20260622T094500 DTEND:20260622T111500 DTSTAMP:20260622T094500 UID:2026/phd-defence-n-a-bartels@8F96275E-9F55-4B3F-A143-836282E12573 CREATED:20260615T051859 LOCATION:(1st floor) Auditorium, Main building De Boelelaan 1105 1081 HV Amsterdam SUMMARY:PhD defence N.A. Bartels X-ALT-DESC;FMTTYPE=text/html:

Conceptualizing Platfor m Revenue Models: A Taxonomy-Driven Design Approach

R esearch brings order to revenue models of digital platforms< /h3>
Digital platforms such as Airbnb, Uber and marketplaces are pl aying an increasing role in everyday life. They connect different gro ups of users, such as providers and customers. Yet many organizations struggle with a fundamental question: how can a platform make money in a sustainable and structured way? Researcher Nedo Bartels' study o n ecosystem engineering for complex software systems now offers pract ical guidance for this.
Bartels focused on platform revenue mod els, or the ways in which digital platforms generate revenue. The exi sting knowledge about this was fragmented, making it difficult for co mpanies to compare different revenue models, substantiate choices or systematically develop new models.
The research shows that plat form revenue models are much less random than is often thought. Despi te the significant differences between platforms, revenue models appe ar to be built from recurring design elements. These elements can be identified, combined and compared.
Successful platforms often combine multiple revenue sources
An important conc lusion is that companies need not rely solely on experience or intuit ion in determining their revenue strategy. Bartels shows that success ful platforms often combine multiple revenue sources rather than rely ing on a single revenue model. By understanding factors such as who p ays, how payments are made and how prices are set, organizations can make more informed choices.
Decisions about revenue models affe ct not only the platform owner, but also consumers, business partners and providers working through the platform. A well-designed revenue model can contribute to a healthy digital ecosystem in which all part ies involved experience sufficient benefit.
Bartels illustrates this with the example of Airbnb. The platform earns from transaction costs, while landlords generate income from renting accommodations. When the fees become too high for landlords, they may drop out. Conve rsely, if the fees are too low, the viability of the platform itself comes under pressure. Aligning these interests is therefore crucial.< /p>
Taxonomy for platform revenue models
In add ition to new insights, the research also yielded concrete tools for p ractice. For example, Bartels developed a taxonomy for platform reven ue models, a special canvas and so-called pattern maps . These tools help managers, entrepreneurs and designers to analyze, compare and de velop revenue models in a targeted way.
The results make it cle ar that a structured approach can help organizations make better stra tegic choices. In doing so, the research contributes not only to scie nce, but also to the development of sustainable and future-proof digi tal platforms.
Learn more about the thesis
DESCRIPTION:

Research brings order to revenue models of di gital platforms

Digital platforms such as Airbnb, Uber and marketplaces are playing an increasing role in everyday life. The y connect different groups of users, such as providers and customers. Yet many organizations struggle with a fundamental question: how can a platform make money in a sustainable and structured way? Researche r Nedo Bartels' study on ecosystem engineering for complex software s ystems now offers practical guidance for this. Bartels focused on pla tform revenue models, or the ways in which digital platforms generate revenue. The existing knowledge about this was fragmented, making it difficult for companies to compare different revenue models, substan tiate choices or systematically develop new models. The research show s that platform revenue models are much less random than is often tho ught. Despite the significant differences between platforms, revenue models appear to be built from recurring design elements. These eleme nts can be identified, combined and compared. Successful plat forms often combine multiple revenue sources
An important conclusion is that companies need not rely solely on experience or i ntuition in determining their revenue strategy. Bartels shows that su ccessful platforms often combine multiple revenue sources rather than relying on a single revenue model. By understanding factors such as who pays, how payments are made and how prices are set, organizations can make more informed choices. Decisions about revenue models affec t not only the platform owner, but also consumers, business partners and providers working through the platform. A well-designed revenue m odel can contribute to a healthy digital ecosystem in which all parti es involved experience sufficient benefit. Bartels illustrates this w ith the example of Airbnb. The platform earns from transaction costs, while landlords generate income from renting accommodations. When th e fees become too high for landlords, they may drop out. Conversely, if the fees are too low, the viability of the platform itself comes u nder pressure. Aligning these interests is therefore crucial. Taxonomy for platform revenue models
In addition to new insights, the research also yielded concrete tools for practice. For example, Bartels developed a taxonomy for platform revenue models, a special canvas and so-called pattern maps . These tools help managers , entrepreneurs and designers to analyze, compare and develop revenue models in a targeted way. The results make it clear that a structure d approach can help organizations make better strategic choices. In d oing so, the research contributes not only to science, but also to th e development of sustainable and future-proof digital platforms. Lear n more about the thesis Conceptualizing Platform Revenue Mode ls: A Taxonomy-Driven Design Approach END:VEVENT END:VCALENDAR