arXiv:2512.04339cs.AI2025-12被引 2

为中小企业设计可落地的AI财务决策模型

A Conceptual Model for AI Adoption in Financial Decision-Making: Addressing the Unique Challenges of Small and Medium-Sized Enterprises

  • 分层架构解决资源少、技术弱、数据差难题
  • 分步实施提升预算、风控和投资效率
  • 适合想用AI但缺经验的中小企业

人工智能(AI)在小中型企业(SMEs)的财务决策中具有变革潜力,但受限于资源不足、技术能力薄弱和数据管理能力欠缺,实际应用面临挑战。本文提出一个面向SMEs财务决策的AI采纳概念模型,包含数据源、数据处理与集成、AI模型部署、决策支持与自动化、验证与风险管理五个层级。通过渐进式实施,企业可优化财务预测、预算编制、投资策略与风险管控。研究强调数据质量与持续模型验证的重要性,为SMEs提供可操作的AI整合路径。论文还探讨了其对SMEs采用AI驱动财务流程的启示,并指明未来在中小企业金融领域应用中的研究方向。

原文摘要 · Abstract (English)

The adoption of artificial intelligence (AI) offers transformative potential for small and medium-sized enterprises (SMEs), particularly in enhancing financial decision-making processes. However, SMEs often face significant barriers to implementing AI technologies, including limited resources, technical expertise, and data management capabilities. This paper presents a conceptual model for the adoption of AI in financial decision-making for SMEs. The proposed model addresses key challenges faced by SMEs, including limited resources, technical expertise, and data management capabilities. The model is structured into layers: data sources, data processing and integration, AI model deployment, decision support and automation, and validation and risk management. By implementing AI incrementally, SMEs can optimize financial forecasting, budgeting, investment strategies, and risk management. This paper highlights the importance of data quality and continuous model validation, providing a practical roadmap for SMEs to integrate AI into their financial operations. The study concludes with implications for SMEs adopting AI-driven financial processes and suggests areas for future research in AI applications for SME finance.

AI应用中小企业财务决策模型设计

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