Financial Management Method Based on Accountability Monitoring Mechanism and DPoS Consensus Algorithm

Along with the accelerated growth of the digital economy, the operating forms of enterprises are becoming more complex, and financial management is becoming more diversified. The traditional financial management model depends strongly on authoritative bodies for governance and auditing. It decreases the liquidity of financial information, worsens information transparency, and limits the efficiency of the management process. To accelerate the speed of transactions and ensure a safe and trustworthy transaction environment, a market-oriented financial management model with an accountability monitoring mechanism and a Delegated Proof of Stake (DPoS) consensus algorithm is proposed in this paper. The model combines the DPoS consensus algorithm with fuzzy logic for financial management. At the same time, it applies the K-means clustering algorithm and the Analytic Hierarchy Process to accountability monitoring. The two modules work together to achieve accurate financial management and stable system operation. The experimental results show that the model proposed by the research institute has a resource consumption rate of 14.28% in the financial management of responsibility monitoring, a cost utilization rate of 94.36%, and an investment return rate exceeding 80%. It is significantly superior to the other comparison models. These results are significantly better than those of the comparison models. The results indicate that the model shows strong financial management performance and accountability tracing capability. It effectively addresses the problem of unclear financial data in current society and provides more reliable technical support for financial data monitoring and management in enterprises and markets.