Enhancing personnel training for the industrial and economic complex in the conditions of the digital economy

T. Kuladzhi, A. Babkin, S. Murtazaev
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引用次数: 7

Abstract

At the present stage in the field of information and communication technologies, measures are being taken to create a national digital economy in the Russian Federation. According to the “Strategy for the Development of the Information Society in the Russian Federation for 2017–2030", in 2016 there are more than 80 million people in the Russian segment of the Internet network, and the total amount of sales of goods (services) through the Internet in 2015 is equivalent to 2.3% of Russia's GDP. The digital economy is defined as an activity where the main factor of production “is data in digital form where processing of that data in large volumes and the use of its analysis results, in comparison with traditional forms of management, significantly increase the efficiency of various types of production, technologies, equipment, storage, sale, delivery of goods and services”. Therefore, currently, new approaches are required for the training of digital economy personnel, as well as new models and calculation technologies that allow one to instantly and accurately determine the value of innovative products. As an instrument of modern economic and mathematical modeling in the digital economy, the authors proposed the use of matrix tools to calculate the cost of production.
加强数字经济条件下工业经济综合体人才培养
在信息和通信技术领域的现阶段,正在采取措施在俄罗斯联邦建立国家数字经济。根据《俄罗斯联邦2017-2030年信息社会发展战略》,2016年俄罗斯互联网用户超过8000万人,2015年通过互联网销售的商品(服务)总额相当于俄罗斯GDP的2.3%。数字经济被定义为一种活动,其中主要生产要素“是数字形式的数据,与传统的管理形式相比,大量数据的处理和分析结果的使用显著提高了各类生产、技术、设备、存储、销售、货物和服务交付的效率”。因此,目前数字经济人才的培养需要新的方法,需要新的模型和计算技术,能够即时准确地确定创新产品的价值。作为数字经济中现代经济和数学建模的工具,作者提出使用矩阵工具来计算生产成本。
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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