Finance centralization-research on enterprise intelligence
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F24%3A43925967" target="_blank" >RIV/62156489:43110/24:43925967 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1057/s41599-024-04098-8" target="_blank" >https://doi.org/10.1057/s41599-024-04098-8</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1057/s41599-024-04098-8" target="_blank" >10.1057/s41599-024-04098-8</a>
Alternative languages
Result language
angličtina
Original language name
Finance centralization-research on enterprise intelligence
Original language description
In the context of digital transformation, financial centralization has emerged as a crucial strategy for enhancing the efficiency and effectiveness of corporate financial management. This paper explores the role of Artificial Intelligence (AI) in financial centralization within Chinese enterprises, particularly under the framework of digital corporate financial management. By analyzing multiple case studies, the research demonstrates how AI applications streamline financial processes, mitigate risks, and improve decision-making accuracy. The study focuses on three key AI-driven applications: automated reconciliation, intelligent report generation, and big data-based risk management. Additionally, the research examines the unique challenges and opportunities that private and state-owned enterprises face during AIdriven financial transformation. Through in-depth analysis, the paper offers valuable insights into how AI is reshaping the financial landscape, providing both practical and theoretical contributions. These findings offer valuable implications for financial managers, policymakers, and researchers seeking to leverage AI in the evolving field of intelligent financial management.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50206 - Finance
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Humanities and Social Sciences Communications
ISSN
2662-9992
e-ISSN
2662-9992
Volume of the periodical
11
Issue of the periodical within the volume
13 November
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
1536
UT code for WoS article
001354435400001
EID of the result in the Scopus database
2-s2.0-85209171305