arbiter
JournalsPricingAccount

Data asset valuation: Research and application in commercial banking

Bingbing Yang et al.

Journal of Digital Economy2025https://doi.org/10.1016/j.jdec.2025.11.003article
ABDC B
Weight
0.44

What the paper says

Data, as a new type of asset, has huge potential value. However, due to the non-traditional material asset attributes of data assets, there are many difficulties in their valuation. This paper introduces optimized cost approach, optimized income approach, and optimized market approach, to address key challenges in data asset valuation, including low accuracy, inefficiency, limited applicability, lack of theoretical grounding, and implementation difficulties. Considering characteristics of data assets, this paper proposes a series of optimized approaches to evaluate data assets in real world. A case study involving a commercial bank is presented to validate the optimized approaches for evaluating the internal data assets of enterprises.

3 citations

Open paper page →

Cite this paper

https://doi.org/https://doi.org/10.1016/j.jdec.2025.11.003

Or copy a formatted citation

@article{bingbing2025,
  title        = {{Data asset valuation: Research and application in commercial banking}},
  author       = {Bingbing Yang et al.},
  journal      = {Journal of Digital Economy},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.1016/j.jdec.2025.11.003},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Data asset valuation: Research and application in commercial banking

Flags are reviewed by the Arbiter methodology team within 5 business days.

Evidence weight

0.44

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.32 × 0.4 = 0.13
M · momentum0.57 × 0.15 = 0.09
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.