Intelligent enterprise capital control based on Markov chain

Q3 Environmental Science Acta Innovations Pub Date : 2022-07-04 DOI:10.32933/actainnovations.45.2
K. Andriushchenko, A. Liezina, V. Lavruk, L. Sliusareva, V. Rudevska
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引用次数: 1

Abstract

This scientific work is devoted to the processes of creating technologies, as well as the use of their mathematical representation in the form of models in the context of the formation and development of the intellectual capital of an enterprise. To select a goal, a vision was formed to prove or refute any possibility of using Markov's theory in practice, namely the creation of a stochastic model of the intellectual capital of an enterprise in monetary terms, which manifests itself in investments in intangible assets. As an initial model hypothesis, the statement is accepted that investments in the enterprise's intangible assets are a factor in the transformation of intellectual capital into the company's value. Based on the results of applying the stochastic Markov chain model, the potential profit of the company's intangible assets was estimated, the main elements of which were intellectual capital assets during the study. A matrix of transition probabilities has been formed and modeling of the limiting probabilities of the system states has been implemented. The necessary conditions and boundaries of the scope of the mathematical model are also determined. The mathematical method of modeling the company's intellectual capital proposed in the article allows determining the contribution of each of the structural components to the formation of the value of the enterprises intellectual capital, thereby making it possible to establish a current balance between all its elements, which contributes to a comprehensive study of the company's intellectual assets.
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基于马尔可夫链的智能企业资金控制
这项科学工作致力于创造技术的过程,以及在企业智力资本形成和发展的背景下,以模型的形式使用技术的数学表示。为了选择一个目标,形成了一个愿景来证明或反驳在实践中使用马尔可夫理论的任何可能性,即以货币形式创建企业智力资本的随机模型,该模型表现在无形资产投资中。作为一个初步的模型假设,对企业无形资产的投资是智力资本转化为公司价值的一个因素,这一说法得到了认可。基于随机马尔可夫链模型的应用结果,对公司无形资产的潜在利润进行了估计,研究中无形资产的主要组成部分是智力资本资产。已经形成了转移概率矩阵,并且已经实现了系统状态的极限概率的建模。还确定了数学模型范围的必要条件和边界。文章中提出的对公司智力资本建模的数学方法允许确定每个结构组成部分对企业智力资本价值形成的贡献,从而有可能在其所有要素之间建立当前的平衡,这有助于对该公司的知识资产进行全面研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Acta Innovations
Acta Innovations Environmental Science-Environmental Engineering
CiteScore
3.90
自引率
0.00%
发文量
15
审稿时长
16 weeks
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