Home // International Journal On Advances in Systems and Measurements, volume 13, numbers 1 and 2, 2020 // View article
Authors:
Frank Bodendorf
Joerg Franke
Keywords: Automotive Industry; Car Data; Business Model; Value Estimation
Abstract:
Data-driven business models play a significant role in the digital transformation of traditional value-added industries. More and more existing and potential partners of automobile manufacturers show interest in the data generated by the vehicles. However, there is still no monetary value assessment to support decisions regarding the release of data. Traditional pricing approaches for material goods are based on cost, margin, and volume. However, these bottom-up calculation concepts are not applicable to digital goods. The background to this is, among other things, the uncertainty about the potential sales volume, the difficulty of cost splitting, and the high unit cost degression of digital goods. This paper provides a decision support for selling data to third parties as an intangible product. It introduces a concept that allows to value data generated by a motor vehicle in order to determine potential prospects and prices for sale. The evaluation model developed can be used to strengthen the car manufacturer's negotiating position towards potential data buyers.
Pages: 46 to 55
Copyright: Copyright (c) to authors, 2020. Used with permission.
Publication date: June 30, 2020
Published in: journal
ISSN: 1942-261x