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Institute
- FIR e. V. an der RWTH Aachen (44) (remove)
Towards a Methodology to Determine Intersubjective Data Values in Industrial Business Activities
(2021)
This paper contributes to a valuation framework for valuing data as an intangible asset. Especially those industrial manufacturers developing and delivering holistic digital solutions are limited in calculating the true business value of data initiatives. Since the value of data is strongly dependent on the respective use case, a completely objective valuation is not possible. This complicates decision-making on the internal side regarding investments in digital transformation, and on the external side to communicate existing benefits to third parties via financial reporting. Therefore, the target is to design a valuation framework that allows industrial manufacturers to determine an intersubjective, i.e., traceable and transparent, data value. In order to develop a framework that can be applied in practice, the approach is based on industrial case study research.
This chapter presents key challenges of digital pricing: selling value propositions, data-driven quantification of value, the design of value-driven pricing models, and the definition of subscription-based price metrics. To structure the pricing for smart-product-service offerings promisingly, a framework with four specific elements has been developed. To address the value propositions properly, this chapter presents four archetypes for offering smart-product-service systems. The chapter concludes by presenting an approach to quantify customer value for digital products and services.
Wachstum durch Reduzierung?
(2022)
„If you can’t measure it, you can’t manage it.“ Peter Druckers berühmte Weisheit ist in Zeiten des digitalen Wandels aktueller denn je. Der Unternehmenswert der weltweit wertvollsten Unternehmen, wie beispielsweise Google, Amazon, Alphabet und Microsoft, ergibt sich zum größten Teil nicht durch physische Vermögenswerte, sondern durch informationstechnische Dienste und datengetriebene Geschäftsmodelle. Der Zugriff und die Nutzung von Daten sind zunehmend ein wettbewerbsentscheidender Schlüsselfaktor und begründen die Notwendigkeit zur digitalen Transformation etablierter Geschäftsmodelle und -prozesse, nicht zuletzt innerhalb der produzierenden Industrie in Deutschland und Europa. Das vom Bundesministerium für Wirtschaft und Klimaschutz geförderte Forschungsprojekt ‚Future Data Assets', Laufzeit 01.08.2019 – 31.01.2023, diente folgerichtig dem Ziel, zunächst neue Möglichkeiten der Datenbewertung, insbesondere im Bereich des monetären Nutzens, und daran anschließend Kanäle zur Kommunikation der ermittelten Werte zu erforschen.