TY  - CONF
A1  - Rix, Calvin
A1  - Frank, Jana
A1  - Stich, Volker
A1  - Urban, Dennis
T1  - Pricing Models for Data Products in the Industrial Food Production
T2  - Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems. IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part V
N2  - In the food industry, a very large potential of data ecosystems is seen, in which data is understood, exchanged and monetized as an economic asset. However, despite the enormous economic potential, companies in the food industry continue to rely on traditional, product-oriented business models. Existing data in the value chain of industrial food production, e.g., in harvesting, logistics, and production processes, is primarily used for internal optimization and is not monetized in the form of data products. Especially the pricing of data products is a key challenge for data-based business models due to their special characteristics compared to conventional, analog offerings and multiple design options. The goal of this work is therefore to solve this issue by developing a framework that allows the identification of pricing models for data products in the industrial food production. For this purpose, following the procedure of typology formation, essential design parameters and the respective characteristics are derived. Furthermore, three types for pricing models of data products are shown. The results will serve not only stakeholders in the food industry but also manufacturing companies in general as input for an orientation of their databased business models.
KW  - Pricing Models
KW  - Data Products
KW  - Food Production
KW  - Typology
Y1  - 2022
UR  - https://epub.fir.de/frontdoor/index/index/docId/1246
UR  - https://rdcu.be/cRgZ2
SN  - 1868-4238
SP  - 553
EP  - 563
ER  -