TY  - CONF
A1  - Stein, Hannah
A1  - Holst, Lennard
A1  - Stich, Volker
A1  - Maass, Wolfgang
A2  - Dolgui, Alexandre
A2  - Bernard, Alain
A2  - Lemoine, David
A2  - von Cieminski, Gregor
A2  - Romero, David
T1  - From Qualitative to Quantitative Data Valuation in Manufacturing Companies
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 II
N2  - Since data becomes more and more important in industrial context, the question arises on how data-driven added value can be measured consistently and comprehensively by manufacturing companies. Currently, attempts on data valuation are primarily taking place on internal company level and qualitative scale. This leads to inconclusive results and unused opportunities in data monetization. Existing approaches in theory to determine quantitative data value are seldom used and less sophisticated. Although quantitative valuation frameworks could enable entities to transfer data valuation from an internal to an external level to take account of progress in digital transformation into external reporting. This paper contributes to data value assessment by presenting a four-part valuation framework that specifies how to transfer internal, qualitative to external, quantitative data valuation. The proposed framework builds on insights derived from practice-oriented action research. The framework is finally tested with a machine tool manufacturer using a single case study approach. Placing value on data will contribute to management’s capability to manage data as well as to realize data-driven benefits and revenue. [https://link.springer.com/chapter/10.1007/978-3-030-85902-2_19]
T3  - IFIP advances in information and communication technology - 631 
KW  - data value
KW  - data valuation framework
KW  - industry 4.0
KW  - intangible assets
KW  - case study research
KW  - Industrie 4.0
Y1  - 2023
UR  - https://epub.fir.de/frontdoor/index/index/docId/2776
UR  - https://link.springer.com/chapter/10.1007/978-3-030-85902-2_19
SN  - 978-3-030-85901-5
SN  - 978-3-030-85902-2
SP  - 172
EP  - 180
PB  - Springer
CY  - Cham [u. a.]
ER  -