Cited by 91Artificial Intelligence ApplicationsDigital Transformation in Financial ServicesImpact of AI and Big Data on Business and Society

“Intelligent” finance and treasury management: what we can expect

Open access
Polak, Petr, Nelischer, Christof, Guo, Haochen, Robertson, David C.·2020·AI & SOCIETY

Integrity signals

Registry

Crossref · 10.1007/s00146-019-00919-6

Cites

6 of 6 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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Cites

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Cited by

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Authors
Polak, P., Nelischer, C., Guo, H., & Robertson, D. C.
Affiliations
  • Willis Towers Watson (United Kingdom) (GB)
  • VSB - Technical University of Ostrava (CZ)
Venue
AI & SOCIETY
Published
2019-10-11
Volume
35
Issue
3
Pages
715-726
ISSN
  • 0951-5666 (ISSN-L)
  • 1435-5655
OpenAlex
W2979507281
Cited by
91
References
6
Citations by year
2026: 11 · 2025: 20 · 2024: 20 · 2023: 13 · 2022: 11 · 2021: 11 · 2020: 5
FWCI
3.12
Type
journal article
Language
en
Open access
Locations
  • AI & Society (publishedVersion)
  • SSRN Electronic Journal (submittedVersion)
  • DSpace VŠB-TUO (VŠB-TUO) (submittedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
  • Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Digital Transformation in Financial Services
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Impact of AI and Big Data on Business and Society
Keywords
artificial intelligence in finance, treasury management, financial decision-making, financial crisis early warning, data quality control, financial data mining, artificial neural networks, financial automation, corporate liquidity management, hedging

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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