Geschäftsmodelle bei der Aggregation von Extended-Floating-Car-Data

Publikation: Hochschulschrift/AbschlussarbeitMasterarbeit

Beitragende

  • N.A. - (Autor:in)

Abstract

The present work deals with the market opportunities that arise as a result of the increasing proportion of connected cars and the associated access to vehicle sensors for traffic data analysis. This new bi-directional communication link of the vehicle enables car manufacturers and application providers in the automotive environment to offer a wide array of services. The resulting market structures and dependencies of individual actors have been extensively studied on the basis of the value chain for Floating Car Data analysis. Furthermore, an overview of possible telematics applications was created by the analysis of the available sensors in modern luxury vehicles and an extensive literature review. Subsequently an examination of positive or negative acting factors on the market success of such applications was made. This resulted in a ranking of the 26 telematics services which were investigated closely. In terms of the thesis’ industry partner T-Systems International GmbH, the detection of road weather and potholes, the detection of free parking space and location- and context-based advertising were examined as economically promising examples for telematics services. The observation of the market environment showed that despite the lack of know-how and low customer contact, vehicle manufacturers occupy a central position of power as a gatekeeper for access to the required sensor vehicles. As high penetration rates in moving traffic are needed for Floating Car Data applications, the creation of a neutral aggregating instance within the market is necessary. T-Systems can play an important key role within the FCD-market. This good position results from the companies’ transmission and server infrastructure, the existing partnerships with vehicle manufacturers, the experiences in the creation of data-based business models and its ability to maintain long-term customer relationships.

Details

OriginalspracheDeutsch
Gradverleihende Hochschule
Betreuer:in / Berater:in
PublikationsstatusVeröffentlicht - 2014
No renderer: customAssociatesEventsRenderPortal,dk.atira.pure.api.shared.model.researchoutput.Thesis

Schlagworte

Schlagwörter

  • Aggregation, Geschäftsmodelle