Refine
Document Type
- Article (1)
- Part of a Book (1)
- Conference Proceeding (9)
- Contribution to a Periodical (2)
- Working Paper (1)
Language
- German (3)
- English (10)
- Multiple languages (1)
Is part of the Bibliography
- no (14)
Keywords
- Arbeit 4.0 (1)
- Arbeitsgestaltung (1)
- Customer Success Management (1)
- Customer-Success-Management (1)
- Data Analytics (1)
- Data Products (1)
- Data-based pricings (1)
- Dienstleistung (1)
- Dienstleistungssektor (1)
- Dienstleistungswende (1)
- Digitalisation (1)
- Digitalisierung (2)
- Food Production (1)
- Kommunikation (1)
- Kompetenzmanagement (1)
- Lernen und Arbeiten (1)
- Manufacturing Companies (1)
- New Industrial Work (1)
- New Work (1)
- Ontology (1)
- Prescriptive Maintenance (1)
- Pricing Models (1)
- Requirements (1)
- SV7344 (1)
- Service engineering (1)
- Service-Management (1)
- Smart Service (1)
- Smart Services (1)
- Smart product service system (1)
- Smart services (1)
- Subscription (1)
- Subscription business (1)
- Task-oriented Reference Model (1)
- Typology (1)
- Value-based Pricing (1)
- Value-in-Use (1)
- Value-in-use (1)
- case study research (2)
- data valuation framework (1)
- data value (2)
- data value assessment (1)
- digitale Technologien (1)
- digitalization (1)
- iIntangible assets (1)
- service engineering (1)
- smart product service systems (2)
- smart services (1)
- subscription business models (1)
Institute
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.