Research on the Construction of Intelligent Decision Support System for SMEs Under Multi-Source Financial Data Fusion

Zhijun Liu

European Journal of Business, Economics & Management, 2026, vol. 2, issue 3, 1-13

Abstract: This research article explores the construction of an intelligent decision support system tailored for small and medium-sized enterprises (SMEs) by leveraging multi-source financial data fusion. The study introduces a systematic framework to integrate diverse financial data sources, optimize decision-making processes, and enhance operational efficiency. By employing advanced computational methods and data fusion techniques, the proposed system addresses the unique challenges faced by SMEs in financial decision-making. The findings highlight the potential of intelligent systems in transforming SME financial management and provide actionable insights for future implementations.

Keywords: Intelligent Decision Support System; SMEs; Financial Data Fusion; Decision-making; Operational Efficiency (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

Downloads: (external link)
https://pinnaclepubs.com/index.php/EJBEM/article/view/765/735 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:dba:ejbema:v:2:y:2026:i:3:p:1-13

Access Statistics for this article

More articles in European Journal of Business, Economics & Management from Pinnacle Academic Press
Bibliographic data for series maintained by Joseph Clark ().