Management аccounting: What is subject to digital transformation?

O. E. Mikhnenko, V. Salin
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Abstract

The subject of the article are the problems of transformation on the basis of breakthrough digital technologies of activity on information support of management and use of accounting information in managerial decision-making. The authors in the course of the research analyze the current state of management accounting and prove that only a factor information model is able to ensure the implementation of the functions of the actual management of the object, allowing observation based on operational, technical, accounting, statistical and data integration requirements. On the example of the system of productivity indicators (qualitatively defined quantity), it is demonstrated that it is possible to implement such requirements for this factor as the object, accuracy and specificity of the work; and an example of a system of indicators for fixed assets — harmonies the functions performed for the object. The article also substantiates the conclusion that the solution of the problems of digital transformation of speech can be provided by an information system functioning based on the platform using Big Data and cloud technologies — DaaS interacting with active elements of the Internet community. In the course of the study, in generalization of modern concepts of management of economic systems, directions of development of digital technologies and their implementation in the processes of information management, methods of system and comparative analysis were used.
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管理会计:数字化转型的主题是什么?
本文的主题是在突破数字技术的基础上进行管理信息支持活动的转型问题和会计信息在管理决策中的应用问题。作者在研究过程中分析了管理会计的现状,证明只有一个因素信息模型才能保证实际管理对象的功能的实现,允许基于操作、技术、会计、统计和数据集成要求的观察。以生产力指标系统(定性定义的数量)为例,证明有可能实现对这一因素的要求,如工作的对象、准确性和特殊性;一个固定资产指标系统的例子-协调为对象执行的功能。文章还证实了一个结论,即语音数字化转型问题的解决方案可以通过一个基于大数据和云技术平台的信息系统来提供——DaaS与互联网社区的活跃元素交互。在研究过程中,概括了现代经济系统管理的概念、数字技术的发展方向及其在信息管理过程中的应用,运用了系统分析和比较分析的方法。
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来源期刊
Periodica Polytechnica, Social and Management Sciences
Periodica Polytechnica, Social and Management Sciences Social Sciences-Social Sciences (all)
CiteScore
1.50
自引率
0.00%
发文量
26
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