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Optimization path of blockchain technology in enterprise economic and financial management
- Source :
- Applied Mathematics and Nonlinear Sciences, Vol 9, Iss 1 (2024)
- Publication Year :
- 2024
- Publisher :
- Sciendo, 2024.
-
Abstract
- In the face of the rising heat of the blockchain concept, many enterprises compete to be the first to develop. However, the excessive enthusiasm of enterprises will inevitably lead to a large amount of waste of resources, therefore, it is particularly important to study the impact of the application of blockchain on the enterprise economy and finance. This paper first puts forward relevant assumptions on the behavioral characteristics of the participating subjects in the supplier order financing system, calculates the expected return function based on the return matrix and the initial ratio between the supplier, the company and the financial institution, and derives the replicated dynamic equation through further projection, according to which the evolutionary stabilization strategy is analyzed. Numerical simulation experiments are used to analyze how blockchain technology, receivable period, and guarantee rate affect the three-party gaming system. The concept of blockchain+supply chain finance model is proposed, and the method of empirical analysis is utilized to study the performance impact it has on enterprises. The thresholds of blockchain technology cost, accounts receivable period, and guarantee rate are [170,000 yuan, 190,000 yuan], [1.9a,2.0a], and [0.12,0.14], respectively. The operating revenue growth rate of the FT enterprise shows an increase in 2019 and 2020, which is 15.25% and 23.54%, respectively, and both of them are beyond the industry average in the same period, while the operating profit growth rate grows steadily and reached 102.54% in 2022, which can quickly respond to market changes and challenges.
Details
- Language :
- English
- ISSN :
- 24448656
- Volume :
- 9
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Applied Mathematics and Nonlinear Sciences
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.4fe5a009444b49d7b346b34f83f244bf
- Document Type :
- article
- Full Text :
- https://doi.org/10.2478/amns-2024-3326