PREVENTION OF MASS FAILURE OF LOW-SECURITY MOBILE SYSTEMS OF INFORMATION SUPPORT FOR DIGITAL ECONOMY

Author(s):  
Юлия Николаевна Кулакова

Объектом исследования является стратегия операционной деятельности промышленного предприятия, воплощающая целенаправленный, качественно определенный способ реализации предприятием его операционной деятельности, выраженный в количественных показателях. Вид стратегии операционной деятельности определяется по данным управленческого учета в режиме мониторинга, и в случае необходимости он должен быть незамедлительно скорректирован, поэтому целью исследования является разработка алгоритма информационной поддержки соответствующих управленческих решений. Приведен обзор становления мировой цифровой экономики, а также тех возможностей, которые она предоставляет при управлении предприятием. Научная новизна исследования заключается в разработке алгоритма информационного обеспечения по реализации стратегии операционной деятельности промышленного предприятия, позволяющего регулярно оценивать эффективность используемой стратегии и устанавливать соответствие вида стратегии определенным параметрам, а также проводить корректировку вида стратегии операционной деятельности на основе экономико-математических методов. Эти процедуры будут способствовать повышению эффективности управления предприятием в современных условиях, характеризующихся высоким уровнем динамичности и информационной доступности экономических процессов. The author investigates the strategy of operational activity of an industrial enterprise which can be qualified as a qualitatively defined way of implementing its operational activities, expressed in quantitative terms. The type of strategy of operational activity is determined in the monitoring mode according to management accounting data, and in case of non-compliance with the specified parameters, the strategy can be immediately adjusted, which requires the development of an appropriate algorithm and information support. The implementation of the proposed concept of monitoring and adjusting the strategy of operational activity requires the use of modern corporate information systems by an industrial enterprise. The article provides a brief historical overview of the formation of the global digital economy, as well as those opportunities that it provides when managing an enterprise. The article proposes an algorithm of information support for the implementation of the strategy of operational activity of an industrial enterprise, which allows you to regularly evaluate the effectiveness of the strategy used and establish the correspondence of the type of strategy to certain parameters, as well as adjust the type of strategy of operational activity based on economic and mathematical methods. Implementation of the algorithm in practice is possible while using modern corporate information systems. The algorithm of information support for the implementation of the strategy of operational activity of an industrial enterprise can be used to increase the efficiency of enterprise management in modern conditions, characterized by a high level of dynamism of economic processes and information accessibility.


2021 ◽  
Vol 6 (1) ◽  
pp. 83-91
Author(s):  
Nataliia Kholiavko ◽  
Antonina Djakona

The purpose of the current study is to analyze the impact of higher education and universities on the dynamics of the digital economy. The authors hypothesized to distinguish three components (educational, research, innovation) in the digital economy development. Within this article, the results of using index and cluster analysis methods to determine the impact of the educational component on the processes of digital economy development in Ukraine at the macroeconomic and meso-economic levels are presented. The special attention is put on the educational component because the higher educational institutions concentrate intellectual capital of the country, as well as prepare future specialists for the needs of digital economy. Moreover the universities’ scientists make an impact on digital economy development by conducting research and transferring their results technological innovations, information and communicational technologies, etc.) into the real economy. During the research, main problems of digital economy development, determined by the poor quality of educational services, insufficient commercialization of university research results in the real economy, are identified. The authors conclude that solving the identified problems requires synchronization of interests and establishing a long-term partnership between universities, business, the state and the public. Importance of optimizing the state regulatory influence on economic entities in the context of digitalization of the national economy is emphasized. In particular, it is proposed to group the set of measures of state regulation into three vectors, namely: neutral-encouraging (support of positive dynamics of intensive development), incentive-providing (resource and information support of development processes) and initiative-mentoring (motivation and coordination of development processes).


2020 ◽  
Vol 12 (4) ◽  
Author(s):  
Elena Peregudova

The article is devoted to the formation and development of economic and organizational tools of interregional interaction within the scientific and technological space of the Union state of Belarus and Russia under the conditions digitalization of national economies of the countries participating in the integration. Increasing importance of improving interregional communications is explained. Such connections allow territories to expand internal (focused on the development of human capital and least dependent on the support of the Federal government) opportunities for economic growth and adapt best management practices in the transition to the digital economy. The author assesses the current state of interregional cooperation and on this basis concludes that digital systems have the greatest impact on scientific, technological, investment and innovation interaction between the regions of Russia and Belarus. Joint programs which had been affected by the trends of digitalization of the unified scientific and technological space of the Union state were identified. Due to analyzing regional aspects of the financing joint research projects by well-known Russian and Belarusian scientific foundations, the author determines the territorial features of interaction in this sphere and comes to the conclusion that such a kind of scientific relations support reflects the strategic priorities for the development of economic sectors in the Union state and is an independent tool for translating cooperation between research and educational organizations in Russia and Belarus into a digital format with minimizing the location significance. The key aspects of improving interregional relations in the Union state in the period of digitalization have been pointed out, and recommendations on information support for this cooperation and adopting experience of Belarus in the field of government regulation of the digital economy by the border regions of the Russian Federation have been developed.


2021 ◽  
Vol 4 (4) ◽  
pp. 33-40
Author(s):  
Maqsud Mahammadiev ◽  

This article discusses the methodological issues of creating a database on the labor market in the context of digitalization of the economy. The database is considered as an information support for the implementation of methods for assessing the effectiveness of the labor market in the digitaleconomy. A mechanism has been proposed for the use of the concept of "volume of information" in the economy, where economic activity is considered as a production-economic resource. Based on this understanding, questions about the unit of measurement of an information resource have been explored


2021 ◽  
Vol 2 (2) ◽  
pp. 126-129
Author(s):  
L. S. KOROBEINIKOVA ◽  

The development of contracting system in Russia in the context of the digital economy and market inte-gration into the Unified Information system gives rise to the issues of detection and assessment of corruption risks in the sphere of public procurement. Identification of corruption risks and their ranking by degree of significance are impossible without determining the specifics of disclosing information on the implementation of certain procurement processes and systematizing the elements of information support for the analysis and assessment of the risk level.


2018 ◽  
Vol 22 (4) ◽  
pp. 42-52 ◽  
Author(s):  
Natalia V. Dneprovskaya

The purposeof the study is to develop an approach to improve information support for the development of the contents of higher education programs and teaching methodological materials. The system of higher education faces the challenges of supporting the development of the digital economy through training and research. Creating the appropriate content of education becomes a difficult task with the high rate of development of digital technologies and methods to use them. Now, in smart learning, the technical aspects of the organization of the educational process often overshadow aspects, related to the methodology or content of smart learning. However, the issues of the content of education become most relevant. Research in the field of knowledge management remain relevant because, the more perfect the technologies become, that notice the algorithmized work of specialists, the higher the value of creativity for society and the economy.Materials and methodsof research include discourse analysis of domestic and foreign scientific sources devoted to the issues of smart education and knowledge management, the systematization of the material. Methodological basis for developing an approach to improve information support is the methods and technologies of the theory of knowledge management.The resultsof the research show that the need for the development of the digital economy places high demands not only for technologies, but also primarily on the competencies for their use. The logic of IT development in education indicates that there is a gradual change in the stages of informatization: from distance education technologies to e-learning and then to smart learning. Each stage of the informatization of education allows solving the problems that are important for the economy and society. There are the factors, influencing the formation of requirements for the content of educational programs: technological, economic, social and geopolitical. The following requirements of smart training for the content of educational programs are revealed: actual information and tasks in the training course; opportunities for independent cognitive, research and project activities of students; distributed information system of smart learning; integration of the educational environment with professional communities; individualization of the content of training.The conclusion.Technologies and methods of knowledge management can provide the necessary level of speed and quality of development of educational materials. The article describes the knowledge management system, which through the knowledge base, communities and co-creation tools, ensures the relevance of the developed content and fills the smart learning with the necessary content.


Author(s):  
Tetiana Momot ◽  
Yevgen Muraev

The article is devoted to the study of the theoretical and methodological foundations of the development of a model of organizational and information support for the development of smart city strategy in a digital economy. The subject of the study is a set of theoretical, methodological and practical aspects to ensure the formation of a model of organizational and information support for the development of a strategy for smart cities in a digital economy. The purpose of the article is to develop theoretical and methodological provisions and substantiate practical recommendations for the formation of a model of organizational and information support for the development of a strategy for smart cities on a balanced scorecard in a digital economy.: to analyze the most progressive cities in the world to create and implement a strategy of smart cities in terms of leading international rankings of smart cities; to study and systematize methodical approaches to the assessment of smart cities according Objectives to international rankings in the digital economy; summarize the advantages and disadvantages of ranking smart cities; to offer a model of organizational and information support for the development of a strategy for smart cities on a balanced system of indicators in a digital economy. In the course of the research the following methods were used: abstract-logical analysis, theoretical generalization and systematization, system analysis. The paper analyzes the most progressive cities in the world in terms of leading international rankings of smart cities in the digital economy. Methodological approaches to the assessment of smart cities according to international rankings in the digital economy are summarized; their advantages and disadvantages are identified. It is proved that today there is no single methodological approach to assessing the rating of a smart city. A model of organizational and information support for the development of a strategy for smart cities on a balanced scorecard in a digital economy has been developed. Conclusions. A comparative analysis of the Top 10 smartest cities in the world in terms of leading international rankings; on the basis of the conducted analysis the components of the assessment of smart cities are systematized within the framework of the studied methodological approaches to the assessment of smart cities according to international rankings. a model of organizational and information support for the development of a smart cities strategy on a balanced system of indicators was developed, which is considered as an integrated assessment system; the information and analytical tools for assessing the level of balanced development of smart cities, is an informative basis for positioning the city on the selected components of a balanced scorecard are proposed.


2019 ◽  
Vol 27 (3/4) ◽  
pp. 199-205 ◽  
Author(s):  
Elena B. Gerasimova ◽  
Anna A. Kurashova ◽  
Mariya V. Tipalina ◽  
Mariya V. Bulatenko ◽  
Nataliya V. Tarasova

Purpose The purpose of this paper is to develop new state standards of higher education for training digital personnel in the conditions of Industry 4.0 by the example of modern Russia. Design/methodology/approach An overview and a critical analysis of the expert and analytical report of the research institute “Higher School of Economics” on the results of digital modernization of the modern Russian economy entitled “Indicators of the digital economy” in the part “Human resources of the digital economy” is performed. Findings It is proved that formation of the personnel infrastructure for digital modernization of economy requires standardization of the process of training of digital personnel. The new state standards of higher education for training digital personnel in the conditions of Industry 4.0 by the example of modern Russia are created on the basis of the existing directions of the master’s program. Originality/value An authors’ classification of digital personnel according to the criterion of performed functions for application of digital technologies is offered, and two categories of them are distinguished: technical specialists and narrow sectorial specialists – which allowed specifying the scientific and methodological provision of the process of training and statistical accounting of digital personnel in Russia. The authors determine the perspective directions of training of digital personnel within the directions of the master’s program, which are implemented in modern Russia, and the corresponding categories of digital personnel. The authors also offer additional requirements to the results of mastering of the main educational programs of the master’s program, the structure of the main educational programs of the master’s program and the conditions of implementation of the main educational programs of training of masters within training of digital personnel. The authors’ conclusions and recommendations ensure the information support for training of digital personnel of modern Russian universities, as well as monitoring and control of this process of state regulators.


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