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论文编号：	14869
作者编号：	2320224117
上传时间：	2024/12/4 22:25:45
中文题目：	数智化转型下A集团司库管理体系优化研究
英文题目：	Research on the Optimization of Treasury Management System for A Corporation in the Context of Digital and Intelligent Transformation
指导老师：	王谦
中文关键字：	司库管理体系优化；数智化转型；资金高效管理；国有企业
英文关键字：	Treasury Management System Optimization; Digital Transformation; Efficient Capital Management; State-Owned Enterprises
中文摘要：	在中国经济持续增长与企业规模扩大的背景下，传统资金管理模式面临资金流动复杂性增加、运营效率与安全性挑战加剧等问题。因此，构建涵盖资金集中管理、高效运营、安全保障及智能决策功能的司库管理体系，成为提升企业财务管理效能与核心竞争力的关键。本研究聚焦于A集团司库管理体系的数智化转型，旨在探索其现代化转型路径与策略。 研究首先全面回顾了司库管理模式的演变及数智化司库管理的最新进展，明确了研究背景、目的与价值，确立了研究议题与方法论架构。在理论框架构建上，界定了司库、司库管理体系及数智化转型的核心概念，并整合了内部资本市场理论、信息不对称理论等多个理论维度，为深入分析A集团司库管理体系的现状与转型路径提供了理论基础。 通过对A集团的基本情况、业务布局及司库管理发展历程的剖析，揭示了其司库管理体系的架构、成效及挑战，论证了数智化转型的迫切需求与可行性。在优化策略规划方面，设计了A集团司库管理体系的全面优化蓝图，从基础管理优化、资金运作效率提升、资源配置优化及风险管理体系构建四个维度提出改进举措。具体措施包括优化账户管理体系、增强资金结算平台整合性、优化票据管理流程、构建精细化资金预算管理体系、重构投融资管理流程、调整担保管理机制及建立全面多层次的风险管理和决策支持系统等。 研究预期A集团司库管理体系优化后，将在应用效能与经济效益方面实现显著提升。为保障优化方案的有效实施与持续优化，提出了明确战略导向、构建数智化平台、完善风险控制体系及推进人才与组织变革等保障措施。 本研究不仅为A集团司库管理体系的数智化转型提供了具体可行的实施方案，也为其他企业提供了有益的参考范例。同时，正视了研究的局限性，并对未来研究方向进行了展望，期待在数据深度挖掘、案例广泛验证及持续优化机制探索等方面取得更丰富成果。
英文摘要：	Against the backdrop of China's sustained economic growth and expanding enterprise scales, traditional fund management models face increasing complexity in capital flows, as well as heightened challenges in operational efficiency and security. Consequently, establishing a treasury management system encompassing centralized fund management, efficient operations, security safeguards, and intelligent decision-making functions has become crucial for enhancing enterprise financial management effectiveness and core competitiveness. This study focuses on the digital transformation of A Group's treasury management system, aiming to explore its modernization path and strategies. The research initially reviews the evolution of treasury management models and the latest advancements in digital treasury management, clarifying the research background, objectives, and value, and establishing the research topic and methodological framework. In constructing the theoretical framework, the core concepts of treasury, treasury management system, and digital transformation are defined, while integrating multiple theoretical dimensions such as internal capital market theory and information asymmetry theory, providing a theoretical foundation for in-depth analysis of the current status and transformation path of A Group's treasury management system. Through an analysis of A Group's basic situation, business layout, and treasury management development history, the study reveals the structure, achievements, and challenges of its treasury management system, demonstrating the urgent need and feasibility of digital transformation. In terms of optimization strategy planning, a comprehensive optimization blueprint for A Group's treasury management system is designed, proposing improvement measures from four dimensions: basic management optimization, capital operation efficiency enhancement, resource allocation optimization, and risk management system construction. Specific measures include optimizing the account management system, enhancing the integration of fund settlement platforms, optimizing bill management processes, building a refined fund budget management system, reconstructing investment and financing management processes, adjusting guarantee management mechanisms, and establishing a comprehensive and multi-layered risk management and decision support system. The study anticipates significant improvements in application efficiency and economic benefits following the optimization of A Group's treasury management system. To ensure the effective implementation and continuous optimization of the optimization plan, safeguard measures such as clear strategic orientation, constructing a digital platform, improving the risk control system, and promoting talent and organizational change are proposed. This study not only provides a concrete and feasible implementation plan for the digital transformation of A Group's treasury management system but also offers valuable reference examples for other enterprises undergoing similar transformations. At the same time, the limitations of the study are acknowledged, and future research directions are outlined, with expectations for richer outcomes in areas such as deep data mining, extensive case validation, and continuous optimization mechanism exploration.
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