Big Data-Driven Enterprise Financial Risk Management Innovation Research

With the advent of the era of big data, the business environment of enterprises has undergone profound and complex transformations, significantly impacting how companies operate, make strategic decisions, and interact with stakeholders. Financial risk management is not only facing new challenges in today's rapidly evolving economic environment but also seizing numerous opportunities for innovation and growth by integrating advanced technologies and strategic approaches. This paper primarily focuses on summarizing the innovation research in enterprise financial risk management by meticulously examining the application of big data in identifying, assessing, warning, and responding to financial risks within enterprises, conducting an in-depth analysis of how big data technology offers innovative advantages for financial risk management, while also addressing the existing shortcomings and challenges, and exploring potential future research directions to provide valuable theoretical guidance and a reference foundation for enhancing enterprise financial risk management capabilities.

Authors

Institutions

Publication Details

Published
2025-04-18
DOI
https://doi.org/10.1145/3745676.3745691
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Big Data-Driven Enterprise Financial Risk Management Innovation Research

Wang Zi-chun
Online Learning and Analytics
article

Big Data-Driven Enterprise Financial Risk Management Innovation Research

Wang Zi-chun
article en

Abstract

With the advent of the era of big data, the business environment of enterprises has undergone profound and complex transformations, significantly impacting how companies operate, make strategic decisions, and interact with stakeholders. Financial risk management is not only facing new challenges in today's rapidly evolving economic environment but also seizing numerous opportunities for innovation and growth by integrating advanced technologies and strategic approaches. This paper primarily focuses on summarizing the innovation research in enterprise financial risk management by meticulously examining the application of big data in identifying, assessing, warning, and responding to financial risks within enterprises, conducting an in-depth analysis of how big data technology offers innovative advantages for financial risk management, while also addressing the existing shortcomings and challenges, and exploring potential future research directions to provide valuable theoretical guidance and a reference foundation for enhancing enterprise financial risk management capabilities.

Beijing University of Technology (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Online Learning and Analytics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Big Data-Driven Enterprise Financial Risk Management Innovation Research — Wang Zi-chun · (2025) | TGRS Research Map | TGRS