COGNITIVE TECHNOLOGIES IN THE MANAGEMENT AND FORMATION OF DIRECTIONS OF THE PRIORITY DEVELOPMENT OF INDUSTRIAL ENTERPRISES

被引:48
|
作者
Kwilinski, Aleksy [1 ]
Kuzior, Aleksandra [2 ]
机构
[1] London Acad Sci & Business, 120 Baker St, London W1U 6TU, England
[2] Silesian Tech Univ, Fac Org & Management, 26-28 Roosevelta St, PL-41800 Zabrze, Poland
关键词
enterprise management; stochastic model; artificial intelligence; cognitive model; perceptron; neural network; digital innovation; economic effect; MACROECONOMIC STABILITY; UKRAINE;
D O I
10.2478/mspe-2020-0020
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of "bottlenecks" in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.
引用
收藏
页码:133 / 138
页数:6
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