Use of Neural Networks to Assess Competitiveness of Organizations

Krichevsky, Mikhail; Martynova, Julia; Dmitrieva, S.M.

doi:10.1007/978-3-030-57453-6_8

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Также к методам теории игр можно отнести использование для оценки конкурентоспособности компании нейронных сетей, получивших в последние годы широкое распространение при решении многих задач социально-экономического развития. Например, Krichevsky et al [67] для оценки конкурентоспособности компаний использовали нейронные сети, которые дают ответ в виде отнесения состояния объекта к определенному классу. При этом база примеров, необходимая для обучения нейронной сети, была сформирована с использованием метода Монте-Карло.…”

Section: обзор литературыunclassified

Modern Assessment and Forecast Prospects of the Competitiveness of the World's Largest Manufacturers of Copper Products

Krivorotov¹,

Kalina²,

Erypalov³

2022

JAER

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In the context of the global transformation of the economic space, economic entities become integrated into various kinds of associations and alliances. These processes make it emphatically relevant to improve approaches to assessing and forecasting the competitiveness of such large companies, taking into account the changing conditions of their internal and external environment. Previously developed approaches required a certain revision and appropriate improvements. The purpose of the study is to improve methodological tools and assess the competitiveness of large copper companies at the present stage and in the medium term. Based on the analysis of approaches to assessing and ensuring the competitiveness of economic entities, it was revealed that today the vast majority of these approaches do not take into account the changing conditions of competition and the increased influence of factors reflecting these changes. The article proposes an improved scientific and methodological approach to assessing and forecasting the competitiveness of large companies, which includes four major blocks: the formation of scientific and methodological principles for conducting research; development of methodological tools for multifactorial assessment of the company's competitiveness; optimization of investment projects for the development of the company; formation of predictive strategies for the development of the company associated with the provision of long-term competitive advantages. As part of the approach - a method for multifactorial assessment of the competitiveness of large companies - has been developed. It provides for the consideration of additional factors and their priority, as well as a significant correction of the basic comparison model. A scenario-based methodological approach has been developed to predict the indicators of competitiveness of large companies using economic and statistical modeling, taking into account the specifics of the company's activities. Methodological developments were tested in relation to the Ural Mining and Metallurgical Company against the background of large global companies operating in the same field. The assessment of the level of current competitiveness of companies was carried out in the period 2010–2020; the forecast of competitiveness indicators was made for the period through to 2025, which made it possible to assess post-pandemic development trends from the standpoint of the competitiveness of the companies in question. Based on the results of the study, generalizing conclusions are formulated.

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Section: обзор литературыunclassified

Modern Assessment and Forecast Prospects of the Competitiveness of the World's Largest Manufacturers of Copper Products

Krivorotov¹,

Kalina²,

Erypalov³

2022

JAER

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Modeling and optimization of costs associated with the development of clustered organizational management structures in construction companies

Serat

2024

jour

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The article aims to examine models and methods of cost optimization associated with the development of clustered organizational structures in construction companies. The research methodology involved an analysis of existing approaches, simulation modeling, and econometric equation analysis. As a result, different approaches to cost estimation and optimization applied in the construction sphere are presented. Particular attention is paid to the development of complex models and their optimization under the conditions of uncertainty through simulation modeling of various scenarios of cluster organizational structures in construction companies. The analysis also includes an assessment of the advantages and disadvantages of econometric semi-linear dynamic equations and the feasibility of their application. The discussion section emphasizes the importance of integrating different optimization methods to achieve the most optimal outcome in the management of construction companies. Further research directions are outlined. The results can be relevant when formulating development strategies and making investment decisions in the construction sphere. The research conclusions confirm the significance of applying modern cost optimization methods to improve the management efficiency of construction companies and their competitiveness in the market of construction services.

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Use of Neural Networks to Assess Competitiveness of Organizations

Cited by 2 publications

References 5 publications

Modern Assessment and Forecast Prospects of the Competitiveness of the World's Largest Manufacturers of Copper Products

Modern Assessment and Forecast Prospects of the Competitiveness of the World's Largest Manufacturers of Copper Products

Modeling and optimization of costs associated with the development of clustered organizational management structures in construction companies

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