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

  • 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.

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Metadaten
Author:Lennard Holst, Florian Groen in’t Woud, Jana Frank, Volker StichORCiDGND
URL:https://ieeexplore.ieee.org/document/9474626
DOI:https://doi.org/10.1109/SDS51136.2021.00014
ISBN:978-1-6654-3874-2
Parent Title (English):2021 8 th Swiss Conference on Data Science (SDS 2021), Proceedings
Publisher:IEEE
Place of publication:Piscataway (NJ)
Document Type:Conference Proceeding
Language:English
Date of Publication (online):2023/09/28
Date of first Publication:2021/07/07
Release Date:2023/09/28
Tag:case study research; data valuation framework; data value; iIntangible assets; smart product service systems
First Page:39
Last Page:45
FIR-Number:SV7374
Name of the conference:8th Swiss Conference on Data Science (SDS 2021)
place of the conference:Luzern
Date of the conference:09.06.2021
Institute / Department:FIR e. V. an der RWTH Aachen
Dienstleistungsmanagement
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften