Prediction of Operational and Innovation Processes in a Large Industrial Corporation

Mezhov, Stepan I.; Межов, И. С.

doi:10.1134/s1075700720040115

Cited by 3 publications

(1 citation statement)

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“…На наш взгляд, одной из причин роста цен является достаточно сложный механизм взаи-модействия участников ОРЭМ и неоправданно запутанные процедуры расчета цен и тарифов. Отдельные авторы [12] в целях совершенствования институциональной базы отрасли электроэнергетики предлагают опираться на опыт крупных инте-грированных корпораций, обладающих свойством системной целостности. Восстановление системной целостности электроэнергетической отраслинасущная задача совершенствования ее структуры и организации.…”

Section: рис 4 формирование цен и объемов поставки электроэнергии на ...unclassified

Wholesale Market of Electricity and Power as Result of Rao Ues Reform (On the Example of Altai Krai)

Yashchenko¹

2021

EPB

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The article examines the specific structures and mechanisms of power supply to consumers that have developed as a result of the so-called market transformations of RAO UES of Russia. Reforms, conceived as market reforms, in fact, ended up as a conglomeration of administrative and bureaucratic structures and certain principles, rules and procedures that vaguely resemble market relations. In fact, the transformation of the electric power industry was forced to take into account the anti-market nature of its functioning: first, technological (specificity of the product and the industry); second, organizational and administrative, requiring a special organization, which is fundamentally different from the traditional market for goods and services. Therefore, the transformation of the electric power industry, carried out by the method of trial and error, has gone through a rather difficult path of registration, re-registration, change of the legal status of market participants. Almost all the processes of buying and selling electricity and capacity are surrounded by numerous rules, restrictions, institutions that have nothing to do with the market. This concerns the choice of counterparties, electricity payment processes and especially capacity, when the consumer pays in advance for the goods that were not actually purchased from the supplier.

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Section: рис 4 формирование цен и объемов поставки электроэнергии на ...unclassified

Wholesale Market of Electricity and Power as Result of Rao Ues Reform (On the Example of Altai Krai)

Yashchenko¹

2021

EPB

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Analysis of the preferential effects of the use of asynchronous electric motors in the industrial sector

Armashova-Telnik,

Bobovich

2022

Vestn. Voronež. gos. univ. inž. tehnol.

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The relevance of the article is due to the specifics of the design of asynchronous electric motors associated with high demand, in production, in electric machines. To date, the development of the state is actively seeking to reduce the use of internal combustion engines. To ensure this transition, countries are creating new charging stations for electric vehicles. The share of sales of electric motors is continuously growing every year. According to Rosstat for 2019, the purchase rate of electric vehicles is 2.5%, in 2020 - 4.6%, and in 2021 - 6.4%. Currently, the market of ready-made electric motors is not able to meet the production demand. In addition, knowledge of the design features of asynchronous electric motors, the ability to navigate certain market trends, will allow you to make informed management decisions in the production and promotion of products. Also, the use of asynchronous electric motors in the production activities of business entities allows not only to increase the competitiveness of the enterprise, through resource minimization, but also to respond to modern needs in compliance with environmental safety requirements. The article discusses the advantages and features of the use of various types of electric motors in production. The specific conditions of their effective use are highlighted, with different capacities, production volumes, etc. Statistical analysis of the use of asynchronous electric motors in the Russian industry demonstrates data that form the prospects for the development of this type of production, which will contribute to the growth of economic indicators in the Russian market for the production of environmentally friendly technological solutions.

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An innovative approach to forecasting the impact of online promotion factors on key competitiveness indicators of economic entities

Kunin

Lugert

2022

Èkonomika i upravlenie

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Aim. The presented study aims to identify online promotion factors that affect company sales, to determine the degree of correlation between them, and to investigate their impact on revenue; to develop an algorithm for forecasting the impact of these factors on key competitiveness indicators of economic entities.Tasks. The objective of this study is to improve the efficiency of online promotion by digitalizing the process of forecasting the impact of online promotion factors on key competitiveness indicators of economic entities.Methods. The authors use the systems and logical approaches, as well as correlation and regression, factor and variance analysis.Results. A five-factor regression equation is developed to quantify the effectiveness of the innovation policy of online development of economic entities and to forecast the impact of online promotion factors on its competitiveness. An algorithm for forecasting this impact on key competitiveness indicators of economic entities is proposed. The obtained results can be used in the enterprise’s concept of innovation policy development and implementation.

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Prediction of Operational and Innovation Processes in a Large Industrial Corporation

Cited by 3 publications

References 1 publication

Wholesale Market of Electricity and Power as Result of Rao Ues Reform (On the Example of Altai Krai)

Wholesale Market of Electricity and Power as Result of Rao Ues Reform (On the Example of Altai Krai)

Analysis of the preferential effects of the use of asynchronous electric motors in the industrial sector

An innovative approach to forecasting the impact of online promotion factors on key competitiveness indicators of economic entities

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