Towards a Methodology to Determine Intersubjective Data Values in Industrial Business Activities

Swiss Conference on Data Science (SDS), vol. 37, pp. 39–45

Abstract

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.

Authors 4

1. Lennard Holst Aachen Institute for Industrial Management

   FIR e. V. an der RWTH Aachen · RWTH Aachen University

   Affiliation as printed

   Institute for Industrial Management (FIR), RWTH Aachen University, Aachen, Germany

2. Groen in't Woud Florian Aachen Institute for Industrial Management

   FIR e. V. an der RWTH Aachen · RWTH Aachen University

   Affiliation as printed

   Institute for Industrial Management (FIR), RWTH Aachen University, Aachen, Germany

3. Jana Frank Aachen Institute for Industrial Management

   FIR e. V. an der RWTH Aachen · RWTH Aachen University

   Affiliation as printed

   Institute for Industrial Management (FIR), RWTH Aachen University, Aachen, Germany

4. Volker Stich Aachen Institute for Industrial Management

   FIR e. V. an der RWTH Aachen · RWTH Aachen University

   Affiliation as printed

   Institute for Industrial Management (FIR), RWTH Aachen University, Aachen, Germany