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  <abstract type="Summary">Advancing digitalization has shown the potential of so-called Quantified Vehicles for gathering valuable sensor data about the vehicle itself and its environment. Consequently, (vehicle) Data has become an important resource, which can pave the way to (Data-driven) Services. The (Data-driven Service) Ecosystem of actors that collaborate to ultimately generate services, has only shaped up in recent years. This cumulative dissertation summarizes the author's contributions and includes a synopsis as well as 14 peer-reviewed publications, which contribute to answer the three research questions.&lt;eng&gt;</abstract>
  <abstract type="Summary">Die Digitalisierung hat das Potenzial für Quantified Vehicles aufgezeigt, um Sensordaten über das Fahrzeug selbst und seine Umgebung zu sammeln. Folglich sind (Fahrzeug-)Daten zu einer wichtigen Ressource der Automobilindustrie geworden, da sie auch (datengetriebene) Services ermöglichen. Es bilden sich Ökosysteme von Akteuren, die zusammenarbeiten, um letztlich Services zu generieren. Diese kumulative Dissertation fasst die Beiträge des Autors zusammen und enthält eine Synopsis sowie 14 begutachtete Veröffentlichungen, die zur Beantwortung der drei Forschungsfragen beitragen.&lt;ger&gt;</abstract>
  <note type="statement of responsibility">vorgelegt von Christian Kaiser</note>
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  <note>GutachterInnen: Michael Fellmann (Faculty of Computer Science and Electrical Engineering, University of Rostock) ; Simon Trang (Faculty of Business and Economics, University of Göttingen) ; Kurt Sandkuhl (Faculty of Computer Science and Electrical Engineering, University of Rostock)</note>
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