Datenbewertung der Unternehmen: Status quo und Auswirkungen von Unsicherheit

Valuing companies' data: The state of the art and the effects of uncertainty

Jan Büchel and Christian Rusche

IW-Trends – Vierteljahresschrift zur empirischen Wirtschaftsforschung, 2023, vol. 50, issue 3, 107-125

Abstract: Data is becoming increasingly important both for companies and for national economies. Since the full potential of business data can only be realised when several users exploit it simultaneously, data sharing is also becoming more common. However, such sharing is rendered more difficult by uncertainty as to how the companies involved assess the value of the data to be shared. A survey among 1,051 companies in Germany reveals that a variety of valuation methods are being used, none of which can be identified as the leading method of choice among either sellers or buyers of data. Data can be valued on the basis of cost, market price or benefit, and often a mix of these methods is used. A fee is payable for approximately one in four data transactions, but half of all companies find it not easy to set an appropriate price. There are, however, ways in which companies can make data valuation easier. First of all, they can prepare themselves generally for the data economy by storing more data digitally, processing it in a more effective and standardised way, and exploiting it in a wider range of applications. Doubts about how transaction partners have valued their data can be overcome by trust-building signals such as sellers providing buyers with sample data sets. In addition, Gaia-X, the European secure data initiative, can be used as an indirect indicator of data quality. Sellers can use screening mechanisms such as contracting a share in the buyer's profits or making licencing arrangements to resolve uncertainty about the buyer's data valuation. Effective tools are thus available that, when used appropriately, mitigate the risks of uncertain valuations and so facilitate mutually beneficial sharing of business data.

Keywords: Daten; Datenbewertung; Unternehmen (search for similar items in EconPapers)
JEL-codes: D21 O31 O52 (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.econstor.eu/bitstream/10419/276287/1/1859538967.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:zbw:iwktre:276287

DOI: 10.2373/1864-810X.23-03-06

Access Statistics for this article

More articles in IW-Trends – Vierteljahresschrift zur empirischen Wirtschaftsforschung from Institut der deutschen Wirtschaft (IW) / German Economic Institute Contact information at EDIRC.
Bibliographic data for series maintained by ZBW - Leibniz Information Centre for Economics ().