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Research on Business-finance Integration, Digital Transformation and Corporate Performance based on Dual Machine Learning

Year: 2025

Type: conference-paper

Abstract: With the rapid development of digital economy, business-financial integration and digital transformation have become an important means for enterprises to improve operational efficiency and enhance competitiveness. Based on the pairwise machine learning method, this paper explores the impact mechanism of industry-finance integration and digital transformation on enterprise performance, analyzes the mediating role of industry-finance integration in digital transformation through causal inference framework, big data analysis and machine learning algorithms, and further explores its long-term effect on enterprise performance. The results of the study show that business-financial integration can effectively promote the implementation of digital transformation, thereby improving enterprise financial performance and market competitiveness.

Source: Guangdong-Hong Kong-Macao Greater Bay Area International Conference on Digital Economy and Artificial Intelligence (DEAI)

DOI: 10.1145/3745238.3745503

Authors: Qidong Zheng, Xin Zhang, Mingyi Ding

Institution: Henan University of Technology

Language: English

Topic: Digital Economy and Transformation

Subfield: Strategy and Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDGs: Decent work and economic growth, Industry, innovation and infrastructure

Open Access status: hybrid

OpenAlex ID: W4412789561

FWCI:

Cites: 1

Cited by:

Related to: 10