Finance centralization-research on enterprise intelligence

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Finance centralization-research on enterprise intelligence

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Finance centralization-research on enterprise intelligence

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50206 - Finance

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Humanities and Social Sciences Communications

ISSN

2662-9992

e-ISSN

2662-9992

Svazek periodika

11

Číslo periodika v rámci svazku

13 November

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

9

Strana od-do

1536

Kód UT WoS článku

001354435400001

EID výsledku v databázi Scopus

2-s2.0-85209171305