Scientific Information Research
Keywords
big data thinking, new ventures, financial competitive intelligence early warning, system dynamics, enterprise competitiveness, simulation analysis
Abstract
[Purpose/significance]Financial competitive intelligence is a core element in promoting the stable development of new ventures. Based on big data thinking, exploring the construction process and simulation effects of financial competitive intelligence warning mechanisms for new ventures is of great significance for improving their competitiveness and promoting healthy development. [Method/process]The article takes startups as the research object, constructs a financial competitive intelligence early warning mechanism for startups based on big data thinking, and uses system dynamics methods to construct causal relationship diagrams and system flow diagrams, and simulates them using Vensim PLE software. [Result/conclusion]The system dynamics model constructed in the article can well fit the financial competitive intelligence warning process and reveal the positive effects of factors such as the application rate of big data technology, key financial indicators, intelligence analysis methods, internal financial personnel participation rate, and professional audit personnel participation rate on financial competitive intelligence warning. This provides new ideas for new startups to smoothly carry out financial competitive intelligence warning work.
Digital Object Identifier (DOI)
10.19809/j.cnki.kjqbyj.2025.02.008
Recommended Citation
WANG, Keping; ZHOU, Jingyi; CHE, Yao; and QIAO, Zhen
(2025)
"Simulation Research on Financial Competitive Intelligence Early Warning Mechanism of New Ventures Based on Big Data Thinking,"
Scientific Information Research: Vol. 7:
Iss.
2, Article 8.
DOI: 10.19809/j.cnki.kjqbyj.2025.02.008
Available at:
https://eng.kjqbyj.com/journal/vol7/iss2/8