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Prof. Evgenii Konnikov
Peter the Great St. Petersburg Polytechnic University

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0 Econometric Modeling
0 Information Economics
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0 Tonality
0 fuzzy-logic

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fuzzy-logic

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Journal article
Published: 29 June 2021 in Journal of Open Innovation: Technology, Market, and Complexity
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The global COVID-19 pandemic has led to the self-isolation of people and the transformation of many economic and social processes into an electronic version thus contributing to the digitalization of all spheres. Being part of this environment, enterprises generate information resources to develop their desired image, which may vary according to the factors characterizing the information environment. Information capital is a comprehensive characteristic of an enterprise and determines its effectiveness and sustainability. The purpose of this study is to develop a toolkit that allows one to assess the information capital of an enterprise, reflecting its perception within the digital information environment. It is necessary to develop the methodology for the formation of such tools. As a result, a fuzzy-plural approach has been developed to evaluate the index of external information capital. This model allows us to assess the external information capital and to simulate its changes caused by various kinds of information events. The study of key elements, for example, the stability and tonality indices, index of target perception made it possible to systematize chaotic changes in the external environment and describe them using the Chen–Lee attractor model. The results of this study can be useful for researchers in the field of digital information analysis, in particular for the comparative analysis of enterprises and the assessment of their information capital.

ACS Style

Dmitriy Rodionov; Andrey Zaytsev; Evgeniy Konnikov; Nikolay Dmitriev; Yulia Dubolazova. Modeling Changes in the Enterprise Information Capital in the Digital Economy. Journal of Open Innovation: Technology, Market, and Complexity 2021, 7, 166 .

AMA Style

Dmitriy Rodionov, Andrey Zaytsev, Evgeniy Konnikov, Nikolay Dmitriev, Yulia Dubolazova. Modeling Changes in the Enterprise Information Capital in the Digital Economy. Journal of Open Innovation: Technology, Market, and Complexity. 2021; 7 (3):166.

Chicago/Turabian Style

Dmitriy Rodionov; Andrey Zaytsev; Evgeniy Konnikov; Nikolay Dmitriev; Yulia Dubolazova. 2021. "Modeling Changes in the Enterprise Information Capital in the Digital Economy." Journal of Open Innovation: Technology, Market, and Complexity 7, no. 3: 166.

Journal article
Published: 28 June 2021 in Sustainability
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The modern culture of consumption often does not correspond to the principles of sustainable development, which leads to environmental pollution. As a possible solution to this problem, the authors propose to analyze the concept of sustainable consumption, following which can reduce the negative impact of mankind on the environment, which is an urgent issue at the global level. The aim of the study is to build a tool for comparative analysis of the level of sustainable consumption. The analysis is carried out in the digital environment, since this space provides a relative freedom of expression of the opinion of individuals, and the obtained data reflect the real level of “sustainability” of the behavior of participants in thematic social communities. The result of the research is an analytical tool tested on thematic social communities of the VK.com social network. In the process of building an analytical tool, primary and secondary tokenization were carried out using computer linguistics tools, an analytical dataframe was formed for a source reflecting the studied content-thematic component. To automate the process of forming a set of tokens, Python 3 programming language was used. The proposed tool can be used to determine the level of sustainable consumption in different social communities relative to each other. This approach can be used by companies to find target audiences and to promote environmentally friendly products. Moreover, this tool can be applied to attract consumers by increasing the level of sustainability in the corporate culture based on the research results. A separate problematic of realizing the developed methodology is the ethical component of analyzing natural digital information and the use of the results obtained on the basis of its analysis.

ACS Style

Yanjie Li; Daria Terenteva; Olga Konnikova; Evgenii Konnikov. Comparative Assessment of Sustainable Consumption Based on the Digital Information Environment Content-Thematic Component Differentiation. Sustainability 2021, 13, 7215 .

AMA Style

Yanjie Li, Daria Terenteva, Olga Konnikova, Evgenii Konnikov. Comparative Assessment of Sustainable Consumption Based on the Digital Information Environment Content-Thematic Component Differentiation. Sustainability. 2021; 13 (13):7215.

Chicago/Turabian Style

Yanjie Li; Daria Terenteva; Olga Konnikova; Evgenii Konnikov. 2021. "Comparative Assessment of Sustainable Consumption Based on the Digital Information Environment Content-Thematic Component Differentiation." Sustainability 13, no. 13: 7215.

Journal article
Published: 15 April 2021 in Economies
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The global COVID-19 pandemic has caused a transformation of virtually all aspects of the world order today. Due to the introduction of the world quarantine, a considerable share of professional communications has been transformed into a format of distance interaction. As a result, the specific weight of traditional components of the investment attractiveness of a region is steadily going down, because modern business can be built without the need for territorial unity. It should be stated that now the criteria according to which investors decide if they are ready to invest in a region are dynamically transforming. The significance of the following characteristics is increasingly growing: the sustainable development of a region, qualities of the social environment, and consistency of the social infrastructure. Thus, the approaches to evaluating the region’s investment attractiveness must be transformed. Moreover, the investment process at the federal level involves the determination of target areas of regional development. Despite the universal significance of innovative development, the region can develop much more dynamically when a complex external environment is formed that complements its development model. Interregional interaction, as well as an integrated approach to innovative development, taking into account not only the momentary effect, but also the qualitative long-term transformation of the region, will significantly increase the return on investment. At the same time, the currently existing methods for assessing the investment attractiveness of the region are usually heuristic in nature and are not universal. The heuristic nature of the existing methods does not allow to completely abstract from the subjectivity of the researcher. Moreover, the existing methods do not take into account the cyclical properties of the innovative development of the region, which lead to the formation of a long-term effect from the transformation of the regional environment. This study is aimed at forming a comprehensive methodology that can be used to evaluate the investment attractiveness of a certain region and conclude about the lines of business that should be developed in it as well as to find ways to increase the region’s investment attractiveness. According to the results of the study, a comprehensive methodology was formed to evaluate the region’s investment attractiveness. It consists of three key indicators, namely, the level of the region’s investment attractiveness, the projected level of the region’s investment attractiveness, and the development vector of the region’s investment attractiveness. This methodology is based on a set of indicators that consider the status of the economic and social environment of the region, as well as the status of the innovative and ecological environment. The methodology can be used to make multi-dimensional conclusions both about the growth areas responsible for increasing the region’s innovative attractiveness and the lines of business that should be developed in the region.

ACS Style

Dmitriy Rodionov; Evgenii Konnikov; Magomedgusen Nasrutdinov. A Transformation of the Approach to Evaluating a Region’s Investment Attractiveness as a Consequence of the COVID-19 Pandemic. Economies 2021, 9, 59 .

AMA Style

Dmitriy Rodionov, Evgenii Konnikov, Magomedgusen Nasrutdinov. A Transformation of the Approach to Evaluating a Region’s Investment Attractiveness as a Consequence of the COVID-19 Pandemic. Economies. 2021; 9 (2):59.

Chicago/Turabian Style

Dmitriy Rodionov; Evgenii Konnikov; Magomedgusen Nasrutdinov. 2021. "A Transformation of the Approach to Evaluating a Region’s Investment Attractiveness as a Consequence of the COVID-19 Pandemic." Economies 9, no. 2: 59.

Journal article
Published: 16 November 2020 in Journal of Open Innovation: Technology, Market, and Complexity
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This paper examines a new approach to defining the task of personnel management in the digital age, taking into account the fundamental changes in internal communications stemming from an increasing use of digital platforms such as intranet, blogs, bulletin boards, instant messaging, and social networking sites. Personnel social media presence plays internal communication roles and thus relates to technologies of social profile analysis regarding employee interaction within the digital economy. The research aims at examining the task of personnel management based on data deriving from social media, for instance social networking sites and other social media tools, with the development of a relevant model for personnel management assessment. It could be shown that communication becomes one of the important aspects of personnel management, which consists of, i.e., human resources planning, recruitment, onboarding, assessment of individual work effects, as well as staff training, rewarding and motivating employees. Effective communication is a prerequisite for carrying out the above-mentioned tasks and performing work effectively. This means that the digital management of personnel can be viewed as a complex task, assuming that organizations operate less by using any formal connections and more by instilling in employees such feelings as feeling inspired, technologically advanced, and proud (on the basis of social media analytics). This paper presents theoretical foundations for developing a model for personnel management with consideration of the distinct employee features based on social media data and included in the assessment process. This allows the same approaches to be used for future research and modeling for assessing team effectiveness. In this paper, a methodological and instrumental solution to the current problem of creating the most effective work team in a digital ecosystem is proposed. The tools proposed to make it possible to create the most potentially effective work team based on the automated processing of natural information contained online on social profiles of potential members of the work team. At the same time, the level of communication compatibility acts as the criterion for the potential effectiveness of the work team. This is an innovative solution for the existing method of managing personnel.

ACS Style

Sergey Barykin; Olga Kalinina; Igor Aleksandrov; Evgenii Konnikov; Vladimir Yadikin; Mikhail Draganov. Personnel Management Digital Model Based on the Social Profiles’ Analysis. Journal of Open Innovation: Technology, Market, and Complexity 2020, 6, 152 .

AMA Style

Sergey Barykin, Olga Kalinina, Igor Aleksandrov, Evgenii Konnikov, Vladimir Yadikin, Mikhail Draganov. Personnel Management Digital Model Based on the Social Profiles’ Analysis. Journal of Open Innovation: Technology, Market, and Complexity. 2020; 6 (4):152.

Chicago/Turabian Style

Sergey Barykin; Olga Kalinina; Igor Aleksandrov; Evgenii Konnikov; Vladimir Yadikin; Mikhail Draganov. 2020. "Personnel Management Digital Model Based on the Social Profiles’ Analysis." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 4: 152.

Journal article
Published: 22 October 2020 in Journal of Open Innovation: Technology, Market, and Complexity
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This paper examines a new approach to defining digital ecosystems. Within the digital economy of ecosystems, competition is eliminated, and organizations form unions and alliances in order to work together and cooperate to reach a set goal. This means a digital ecosystem can be viewed as a complex environment in which organizations without any hard ties operate. Digital ecosystems differ from traditional ecosystems in many ways. The business organization of the latter is based on management decision making by people. This paper presents theoretical foundations for developing digital ecosystems based on a literary review. Based on the logic of scientific search using the keywords “ecosystem” and “biological ecosystem”, the commonality of the properties of the digital ecosystem and the biological ecosystem is shown. The aim of the study is to identify common characteristics in biological, economic and digital ecosystems in order to substantiate the possibility of using the same approaches for research and modeling of such systems. A definition of a digital ecosystem is proposed by the authors which points out the main features of this kind of system and highlights the dominant role of modern digital technologies in the formation of the digital ecosystem. The paper looks at the distinctive features of digital ecosystems and characteristics similar to the characteristics of biological ecosystems, such as ecosystem participants, presence of limiting impacts, lack of vertical hierarchical communication. The developed model can be used to model digital ecosystems. The authors believe that the emergence of a trend in the transformation of ecosystems in the direction of expanding the collaboration of economic agents is reasonable. At the same time, digitalization helps to replace competition with collaboration. The paper finishes with a discussion of the obtained results and a plan for further research.

ACS Style

Sergey Barykin; Irina Kapustina; Tatiana Kirillova; Vladimir Yadykin; Yevgenii Konnikov. Economics of Digital Ecosystems. Journal of Open Innovation: Technology, Market, and Complexity 2020, 6, 124 .

AMA Style

Sergey Barykin, Irina Kapustina, Tatiana Kirillova, Vladimir Yadykin, Yevgenii Konnikov. Economics of Digital Ecosystems. Journal of Open Innovation: Technology, Market, and Complexity. 2020; 6 (4):124.

Chicago/Turabian Style

Sergey Barykin; Irina Kapustina; Tatiana Kirillova; Vladimir Yadykin; Yevgenii Konnikov. 2020. "Economics of Digital Ecosystems." Journal of Open Innovation: Technology, Market, and Complexity 6, no. 4: 124.

Journal article
Published: 04 September 2020 in Mathematics
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(1) Presented models are proposed for analyzing the resilience of an economic system in a framework of a 4 × 6 matrix, the core of which is a balanced scorecard (BSC). Matrix rows present strategic perspectives, matrix columns present strategic maps. (2) Resilience assessment models are based on fuzzy logic and soft computing, combined with systemic-cybernetic approaches to building presented models. The simplest models are Zadeh linguistic variables that describe key performance indicators (KPIs). The BSC model is an acyclic graph with fuzzy links that are calibrated based on special rules. The information obtained during the simulation is aggregated through a matrix aggregate calculator (MAC). (3) The BSC model was used to assess the economic resilience of a small electrical enterprise in Russia, numbering 2000 people with revenue of approximately 100 million euros per year. The BSC model included about 70 KPIs and 200 fuzzy links. Also, the presented MAC model was applied to obtain linguistic classifiers in five basic industries, using the example of a comparative analysis of 82 international industrial companies. (4) The proposed models allow not only to describe the economic system and its external environment, but also solutions aimed at increasing resilience, within the unified framework

ACS Style

Alexey Nedosekin; Zinaida Abdoulaeva; Evgenii Konnikov; Alexander Zhuk. Fuzzy Set Models for Economic Resilience Estimation. Mathematics 2020, 8, 1516 .

AMA Style

Alexey Nedosekin, Zinaida Abdoulaeva, Evgenii Konnikov, Alexander Zhuk. Fuzzy Set Models for Economic Resilience Estimation. Mathematics. 2020; 8 (9):1516.

Chicago/Turabian Style

Alexey Nedosekin; Zinaida Abdoulaeva; Evgenii Konnikov; Alexander Zhuk. 2020. "Fuzzy Set Models for Economic Resilience Estimation." Mathematics 8, no. 9: 1516.

Chapter
Published: 28 May 2020 in Operational Sustainability in the Mining Industry
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The process of globalization and the transition to the sixth technological order has a significant impact on increasing competition in world industrial markets. The hypercompetitive environment is characterized primarily by a high level of uncertainty, which in turn leads to the loss of stability of the development of market participants who are not monopolists. Sources of loss of sustainability of development can vary, but one of the key is the inability of the production system of an industrial enterprise to re-spond promptly and effectively to ambient changes. This fact necessitates the formation of effective algorithms for managing the sustainability of the production system of an industrial enterprise. The purpose of the study is to develop a complex of algorithms for managing the stability of the production systems development in the context of the industries technological level. According to the results of an econometric study, an industrial enterprise development sustainability dependence on two basic components was identified and functionally described: innovation activity and business solvency. The influence of one factor is replaced by the influence of the second as the level of manufacturability of the industry grows. On the basis of this distribution, a set of algorithms for managing the stability of the development of production systems for high-tech, low-tech, medium-high-tech and medium-low-tech industries was proposed.

ACS Style

Evgenii A. Konnikov; Olga A. Konnikova. Algorithms for Managing the Sustainability of the Development of Production Systems in the Context of the Technological Level of Industries. Operational Sustainability in the Mining Industry 2020, 359 -366.

AMA Style

Evgenii A. Konnikov, Olga A. Konnikova. Algorithms for Managing the Sustainability of the Development of Production Systems in the Context of the Technological Level of Industries. Operational Sustainability in the Mining Industry. 2020; ():359-366.

Chicago/Turabian Style

Evgenii A. Konnikov; Olga A. Konnikova. 2020. "Algorithms for Managing the Sustainability of the Development of Production Systems in the Context of the Technological Level of Industries." Operational Sustainability in the Mining Industry , no. : 359-366.

Journal article
Published: 01 January 2020 in Вестник Алтайской академии экономики и права
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ACS Style

Thi Tran; Е.а. Konnikov. AUTOMATED PARAMETRIC MODEL OF BUSINESS PROCESSES REGULATION IN THE WOOD PROCESSING INDUSTRY IN ACCORDANCE WITH THE UNIVERSAL QUANTIFIED CHARACTERISTIC OF THE INFORMATION ENVIRONMENT. Вестник Алтайской академии экономики и права 2020, 3, 621 -637.

AMA Style

Thi Tran, Е.а. Konnikov. AUTOMATED PARAMETRIC MODEL OF BUSINESS PROCESSES REGULATION IN THE WOOD PROCESSING INDUSTRY IN ACCORDANCE WITH THE UNIVERSAL QUANTIFIED CHARACTERISTIC OF THE INFORMATION ENVIRONMENT. Вестник Алтайской академии экономики и права. 2020; 3 (№12 2020):621-637.

Chicago/Turabian Style

Thi Tran; Е.а. Konnikov. 2020. "AUTOMATED PARAMETRIC MODEL OF BUSINESS PROCESSES REGULATION IN THE WOOD PROCESSING INDUSTRY IN ACCORDANCE WITH THE UNIVERSAL QUANTIFIED CHARACTERISTIC OF THE INFORMATION ENVIRONMENT." Вестник Алтайской академии экономики и права 3, no. №12 2020: 621-637.

Conference paper
Published: 25 October 2019 in E3S Web of Conferences
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The energy crisis of 1973-1974 showed that it is difficult to constantly increase the power supply of production, based only on traditional energy sources. The power supply of society is the basis of its scientific and technological progress. It means that it is necessary to introduce unconventional, alternative energy sources more widely. Unlike fossil fuels, unconventional forms of energy are not limited to geologically reserves. Their use and consumption does not lead to the inevitable exhaustion of stocks. However, currently, the reform of world energy markets and increasing the share of renewable energy sources in their structure is a long and innovative process. Lots of countries (Russia in particular) bear significant risks because of reforming their own energy market, which causes a slight increase in the share of renewable energy sources. In this regard, the purpose of this study is to analyse the influence of environmental factors on the development of renewable energy sources in Russia. The result of this study is a system of econometric equations, which allows to evaluate the impact of changes in key drivers of the development of the renewable energy market.

ACS Style

E. A. Konnikov; K. V. Osipova; N. A. Yudina; E.P. Korsak. The prevalence of renewable energy in the Russian energy market. E3S Web of Conferences 2019, 124, 04018 .

AMA Style

E. A. Konnikov, K. V. Osipova, N. A. Yudina, E.P. Korsak. The prevalence of renewable energy in the Russian energy market. E3S Web of Conferences. 2019; 124 ():04018.

Chicago/Turabian Style

E. A. Konnikov; K. V. Osipova; N. A. Yudina; E.P. Korsak. 2019. "The prevalence of renewable energy in the Russian energy market." E3S Web of Conferences 124, no. : 04018.

Journal article
Published: 16 January 2019 in Resources
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Today the process of transition to a new technological order has become evident to everyone, especially in developed countries. One of the most urgent areas for ensuring the long-term competitiveness of industrial enterprises is the development of the Arctic zone. This region has many economic and logistical difficulties, the solution of which may lie in the use of advanced technologies of the new technological order, for example, 3D-printing technologies. The aim of the article is to study the transformation of the cost structure of industrial products as a result of integration of 3D-printing technologies into the production process of industrial enterprise operating in the Arctic zone. It was found that the structure of the main cost elements varies greatly, due to the ambiguity of replacing computer numerical control (CNC) (or other classical shaping technologies) with 3D-printing technologies, as well as the specifics of supply chains, which is quite urgent for the Arctic region. The results of empirical study necessitate the development of tools for predicting the economic viability of integrating 3D-printing technologies into the technological processes of industrial enterprises operating in the Arctic zone. Within the article, the authors substantiated and developed a fuzzy-multiple model for assessing the level of investment attractiveness of integration of 3D-printing technologies into the production process of an industrial enterprise operating the Arctic zone. One of the aims of this model is to answer the question of whether an enterprise should invest in a technological transition to 3D-printing technologies.

ACS Style

Evgenii A. Konnikov; Olga A. Konnikova; Dmitriy G. Rodionov. Impact of 3D-Printing Technologies on the Transformation of Industrial Production in the Arctic Zone. Resources 2019, 8, 20 .

AMA Style

Evgenii A. Konnikov, Olga A. Konnikova, Dmitriy G. Rodionov. Impact of 3D-Printing Technologies on the Transformation of Industrial Production in the Arctic Zone. Resources. 2019; 8 (1):20.

Chicago/Turabian Style

Evgenii A. Konnikov; Olga A. Konnikova; Dmitriy G. Rodionov. 2019. "Impact of 3D-Printing Technologies on the Transformation of Industrial Production in the Arctic Zone." Resources 8, no. 1: 20.

Conference paper
Published: 05 June 2018 in SHS Web of Conferences
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The definition of effective improvement vectors is currently one of the most pressing challenges facing the industry representatives. The transition to the sixth technological mode effectively contributes to competition intensification in all markets of industrial products. This is largely due to the fact that existing process systems are at the peak of their effectiveness. Further development requires qualitative changes. However, the principal improvement is a long-term and high-risk process. For this reason the issue of creating effective models for assessment of the strategic lines of processes improvement becomes increasingly important for industrial enterprises. This article considers in details the vector of industrial enterprise processes improvement based on the integration of new materials. As a result, a model allowing to assess a perspectives level for integration of new materials in industrial enterprise processes is created.

ACS Style

Elena Kasianenko; Evgenii Konnikov; Nikita Lukashevich. A fuzzy set model for assessment of a perspectives level for integration of new materials in industrial enterprise processes. SHS Web of Conferences 2018, 44, 00045 .

AMA Style

Elena Kasianenko, Evgenii Konnikov, Nikita Lukashevich. A fuzzy set model for assessment of a perspectives level for integration of new materials in industrial enterprise processes. SHS Web of Conferences. 2018; 44 ():00045.

Chicago/Turabian Style

Elena Kasianenko; Evgenii Konnikov; Nikita Lukashevich. 2018. "A fuzzy set model for assessment of a perspectives level for integration of new materials in industrial enterprise processes." SHS Web of Conferences 44, no. : 00045.