Construction of Enterprise Asset Management Accounting System Based on Blockchain Technology

被引:0
作者
Wang H. [1 ]
Zhang Y. [1 ]
Chen X. [1 ]
Wu J. [1 ]
机构
[1] Shijiazhuang Information Engineering Vocational College, Hebei, Shijiazhuang
关键词
Accounting system; Asset management mode; Blockchain technology; DEA model; Entropy right method;
D O I
10.2478/amns-2024-0231
中图分类号
学科分类号
摘要
With the continuous development of blockchain technology and the capital market, asset management introduced by blockchain has become the focus of enterprises, and this paper studies the enterprise asset management accounting system based on blockchain technology. By using blockchain technology, an asset management accounting system can be built by combining the cost control and responsibility system. Even though the enterprise asset management mode is designed to be efficient, the evaluation index of blockchain is not accurate. The blockchain enterprise asset management mode is analyzed using the DEA effectiveness model combined with the entropy weight method. Combined with the measured data of blockchain technology, the election phase, throughput, and transaction delay are compared, in which the blockchain technology BFT-Raft has a significant improvement in the election phase, the throughput is increased by 101.2TPS, and the transaction delay is reduced by 200~250ms.Through the analysis of the enterprise asset management and the analysis of blockchain de-also asset management efficacy, in which the coverage rate of blockchain technology and the asset yield increase year by year from 2018 to 2021, and reach the highest value of 0.5785 and 0.3612 in 2021, respectively, indicating that M’s overall asset management efficiency of the company has gradually improved with the coverage application of blockchain technology. In summary, the enterprise asset management accounting system based on blockchain technology in this paper can effectively improve the efficiency of enterprise asset management and is of practical significance for the development of enterprise asset management. © 2023 Hui Wang, Yuan Zhang, Xuemei Chen and Jian Wu, published by Sciendo.
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