Perspectives on the use of new information and communication technology (ICT) in the modern economy

Advances in Intelligent Systems and Computing 726 Elena G. Popkova  Victoria N. Ostrovskaya Editors Perspectives on the Use of New Information and Communication Technology (ICT) in the Modern Economy Advances in Intelligent Systems and Computing Volume 726 Series editor Janusz Kacprzyk, Polish Academy of Sciences, Warsaw, Poland e-mail: kacprzyk@ibspan.waw.pl The series “Advances in Intelligent Systems and Computing” contains publications on theory, applications, and design methods of Intelligent Systems and Intelligent Computing Virtually all disciplines such as engineering, natural sciences, computer and information science, ICT, economics, business, e-commerce, environment, healthcare, life science are covered The list of topics spans all the areas of modern intelligent systems and computing such as: computational intelligence, soft computing including neural networks, fuzzy systems, evolutionary computing and the fusion of these paradigms, social intelligence, ambient intelligence, computational neuroscience, artificial life, virtual worlds and society, cognitive science and systems, Perception and Vision, DNA and immune based systems, self-organizing and adaptive systems, e-Learning and teaching, human-centered and human-centric computing, recommender systems, intelligent control, robotics and mechatronics including human-machine teaming, knowledge-based paradigms, learning paradigms, machine ethics, intelligent data analysis, knowledge management, intelligent agents, intelligent decision making and support, intelligent network security, trust management, interactive entertainment, Web intelligence and multimedia The publications within “Advances in Intelligent Systems and Computing” are primarily proceedings of important conferences, symposia and congresses They cover significant recent developments in the field, both of a foundational and applicable character An important characteristic feature of the series is the short publication time and world-wide distribution This permits a rapid and broad dissemination of research results Advisory Board Chairman Nikhil R Pal, Indian Statistical Institute, Kolkata, India e-mail: nikhil@isical.ac.in Members Rafael Bello Perez, Universidad Central “Marta Abreu” de Las Villas, Santa Clara, Cuba e-mail: rbellop@uclv.edu.cu Emilio S Corchado, University of Salamanca, Salamanca, Spain e-mail: escorchado@usal.es Hani Hagras, University of Essex, Colchester, UK e-mail: hani@essex.ac.uk László T Kóczy, Széchenyi István University, Győr, Hungary e-mail: koczy@sze.hu Vladik Kreinovich, University of Texas at El Paso, El Paso, USA e-mail: vladik@utep.edu Chin-Teng Lin, National Chiao Tung University, Hsinchu, Taiwan e-mail: ctlin@mail.nctu.edu.tw Jie Lu, University of Technology, Sydney, Australia e-mail: Jie.Lu@uts.edu.au Patricia Melin, Tijuana Institute of Technology, Tijuana, Mexico e-mail: epmelin@hafsamx.org Nadia Nedjah, State University of Rio de Janeiro, Rio de Janeiro, Brazil e-mail: nadia@eng.uerj.br Ngoc Thanh Nguyen, Wroclaw University of Technology, Wroclaw, Poland e-mail: Ngoc-Thanh.Nguyen@pwr.edu.pl Jun Wang, The Chinese University of Hong Kong, Shatin, Hong Kong e-mail: jwang@mae.cuhk.edu.hk More information about this series at http://www.springer.com/series/11156 Elena G Popkova Victoria N Ostrovskaya • Editors Perspectives on the Use of New Information and Communication Technology (ICT) in the Modern Economy 123 Editors Elena G Popkova Volgograd State Technical University Volgograd Russia Victoria N Ostrovskaya Moscow Humanitarian and Economic Institute Moscow Russia ISSN 2194-5357 ISSN 2194-5365 (electronic) Advances in Intelligent Systems and Computing ISBN 978-3-319-90834-2 ISBN 978-3-319-90835-9 (eBook) https://doi.org/10.1007/978-3-319-90835-9 Library of Congress Control Number: 2018942169 © Springer International Publishing AG, part of Springer Nature 2019 This work is subject to copyright All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed The use of general descriptive names, registered names, trademarks, service marks, etc in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations Printed on acid-free paper This Springer imprint is published by the registered company Springer International Publishing AG part of Springer Nature The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland Preface This volume contains the best materials presented at the 5th national scientific and practical conference “Perspectives on the use of New Information and Communication Technology (ICT) in the Modern Economy,” which took place on February 1, 2018, in Pyatigorsk, Russia The conference was devoted to complex consideration of new ICT in the modern economy and law and determination of limits and perspectives of their usage The volume contains the leading studies on the issue of usage of new ICT in the modern economy The target audience of this volume includes undergraduates and postgraduates, lecturers and experts, and researchers who deal with various issues of using new ICT in the modern economy The conference featured sessions on the following sections, which led to the division of the volume into parts: Establishment of Information Economy Under the Influence of Scientific and Technical Progress: New Challenges and Possibilities Digital Economy as a New Vector of Development of the Modern Global Economy Economic and Legal Aspects of Using New Information and Communication Technologies in Developed and Developing Countries Priorities of Using New Information and Communication Technologies in Modern Economy Platforms of Communicative Integration in Tourism by Means of Implementing New Information and Communication Technologies Scientific Research in the Conditions of Information Society: Economic & Legal and Managerial Aspects and Peculiarities v vi Preface Introduction Information and communication technologies develop very quickly, changing the means and approaches in all spheres of economy However, they have contradictory influence on the development of economic systems On the one hand, the implementation of new ICT stimulates rationalization of economic & legal activities; on the other hand, it causes social, psychological, legal, and ecological problems due to the transition to a new technological mode Due to this, perspectives of usage of new ICT in the modern economy are uncertain and cause a lot of problems One of them is the issue of the provision of wide application of new ICT in the conditions of deficit of financial resources with state and corporate institutes Another issue is overcoming of social opposition to changes of usual business and life mode due to mass distribution of new ICT Another issue is the complexity of mastering of new ICT and the necessity for increasing media literacy of population and media competence of working specialists and applicants in the labor market The most important issues include also the provision of security of economic operations that are conducted with usage of new ICT and the issue of their state regulation These and other issues are studied in this collection of the best works that were presented at the 5th national scientific and practical conference “Perspectives on the use of New Information and Communication Technology (ICT) in the Modern Economy,” which took place on February 1, 2018, in Pyatigorsk, Russia The conference was organized by the Institute of Scientific Communications (Volgograd, Russia), the Center for Marketing Initiatives (Stavropol, Russia), and Pyatigorsk State University (Pyatigorsk, Russia) Despite the emphasis on economic theory, the volume contains materials of new research of representatives of various disciplines, including philosophy, psychology, information technologies, law This allowed for the systemic and complex study of perspectives of usage of new ICT in the modern economy as a socioeconomic system Among the most topical works of the volume is the study by Dmitrii N Fetisov, Tatiana V Opeikina, Larisa V Obyedkova, Elena A Nemirovskaya, and Elena S Pavlova “Managing the Process of Commercialization as a Basis of Diffusion of Innovations and Development of Innovational Economy,” in which the authors substantiate the key role of new ICT in commercialization and diffusion of innovations and formation of innovational economy One of the most prominent works of the volume is the study by Vladimir P Kamyshansky, Evgenia Y Rudenko, Andrey M Solovyev, Evgeny A Kolomiets, and Anna V Dudchenko “Electronic Commerce in the Modern Economy: Legal Aspect,” in which the authors study the economic and legal foundation of the development of electronic commerce in the modern economy, emphasizing its importance as a direction of modernization of socioeconomic systems Preface vii It is necessary to note that work by Shamil A Imnaev, Aleksandr I Osadchy, and Anna P Babchenko “Information and Communication Technologies as a Factor of Tourist Product Promotion,” in which top-priority role of new ICT is shown as a factor and tool of promoting tourist product and formation of service economy In the article by Lyudmila I Gubareva, Valentina S Tenetilova, Svetlana V Derepasko, Irina S Gavrilova, and Marina I Suganova “Peculiarities of Formation of ‘Knowledge Economy’ Through Modernization of the Higher Education System in Russia,” the authors substantiate the necessity for modernizing the system of higher education with the help of implementing new ICT for formation of “knowledge economy” in modern Russia These and other researchers provide various arguments in favor of usage of new ICT in the modern economy Conclusions It should be concluded that perspectives of usage of new ICT in the modern economy are very wide These technologies are in high demand by economic subjects and, at the same time, their implementation should be accompanied by target and justified state regulation for prevention and timely solution of emerging problems, including social opposition, deficit of resources, security Due to the unification of efforts of scholars from various disciplines of modern science, this volume shows various aspects of usage of new ICT in the modern economy This allowed determining potential advantages and possible drawbacks and problems of this process, as well as offering perspective solutions Despite the diversity of scientific studies presented in this volume, which allowed describing the perspectives of usage of new ICT in the modern economy, this direction requires further scientific elaboration For example, the issue of modernization of various spheres of national economy on the basis of usage of new ICT deserves more attention Like most problems that are studied in this collection, this issue is researched by the example of modern Russia During further analysis, it is expedient to pay more attention to the issues of adaptation of authors’ developments and recommendations to peculiarities of other economic systems Contents Possibilities and Perspectives for Formation and Development of Information Economy in the Conditions of Technological Progress Establishment of Information Economy Under the Influence of Scientific and Technical Progress: New Challenges and Possibilities Alexey G Zaytsev, Liubov V Plakhova, Svetlana A Legostaeva, Natalia V Zakharkina, and Yuliia A Zviagintceva Peculiarities of Formation of “Knowledge Economy” Through Modernization of the Higher Education System in Russia Lyudmila I Gubareva, Valentina S Tenetilova, Svetlana V Derepasko, Irina S Gavrilova, and Marina I Suganova 11 Generation and Commercialization of Knowledge in the Innovational Ecosystem of Regional University in the Conditions of Information Economy Establishment in Russia Sergey S Zmiyak, Ekaterina A Ugnich, and Pavel A Krasnokutskiy Industry 4.0: Contents, Problems and Perspectives Olga B Digilina, Irina B Teslenko, and Nizami V Abdullaev Internet Tools for Development of Knowledge Economy: Essence, Tendencies, and Perspectives Aleksei V Bogoviz, Svetlana V Lobova, Yulia V Ragulina, Karina A Chernitsova, and Sergey V Shkodinsky Establishment of Information Economy Under the Influence of Scientific and Technical Progress Alexandr V Gladilin, Zukhra S Dotdueva, Yulia A Klimovskikh, Yulia V Labovskaya, and Elena V Sharunova 23 32 39 46 ix x Contents The Mechanism of Evaluation Under the Conditions of Uncertainty of Innovational Project as a Random Process Ella Y Okolelova, Larisa V Shulgina, Natalia I Trukhina, Marina A Shibaeva, and Aleksey V Shulgin The Methods of Evaluation of Investment Project with Undetermined Parameters Isa M Peshkhoev, Ilona V Avlasenko, Olga V Panfilova, Yuri V Podkolzin, and Oksana G Savelyeva Modeling of the Targeting Process in High-Tech Spheres of the Russian Economy Lyudmila Oveshnikova, Elena Sibirskaya, Evgeniya Tenetova, and Ekaterina Samarina Statistical Study of Innovative Activity in High-Tech Spheres of Economy Lyudmila Oveshnikova, Elena Sibirskaya, Svetlana Kulikova, and Aleksandr Bezrukov Studying the Sector of the Russian High-Tech Innovations on the Basis of the Global Innovation Index INSEAD Lyudmila Oveshnikova, Olga Lebedinskaya, Alexander Timofeev, Lilia Mikheykina, Elena Sibirskaya, and Pawel Lula GDP as the Most Important Indicator of the Global Tendencies of Economic Development in View of Production Account Olga G Lebedinskaya, Alexander G Timofeev, Elena V Abyzova, and Ekaterina G Berger 56 64 72 80 87 97 Economic Aspects of Formation of Organizational and Economic Mechanism of the Innovational Infrastructure of the EAEU Countries’ Agro-Industrial Complex 108 Aleksei V Bogoviz, Ivan S Sandu, Galina M Demishkevich, and Natalia E Ryzhenkova Strategic Directions of Innovational Development of Socio-Economic Systems 118 Olga V Godina, Yulia Yu Kosenkova, Liudmila S Maksimenko, Yulia R Mezentseva, and Tatiana A Shcherbakova Modernization of the System of Accounting of Financial Results of Company’s Activities on the Basis of New ICT: Problems and Perspectives 128 Aminat M Musaeva, Sultanat N Alborieva, Arsen I Magomedov, Zarema A Musaeva, and Leyla M Asilderova The Practical Method of Evaluation of Financial Risks in the Energy Sphere Tatiana B Malkova and Aleksei V Malkov(&) Vladimir State University named after Alexander and Nikolay Stoletovs, Vladimir, Russia mtb37@yandex.ru Abstract This article presents a methodology for assessing financial risks using automated meter reading and control system (AMR) and automated system of commercial control of heat energy (ACCUTE) An example of evaluation of a real project is presented, and the main problems of implementation of this project are viewed Keywords: Financial risk Á Automated system of accounting of electric energy Heat energy metering Á Management decision Á Efficiency Á Energy saving In the modern conditions, when digital economy acquires practical implementation, dynamics of change of the work conditions of a lot of industrial companies increased Due to this, the tasks of managerial decisions became complicated – including for modernization of production organization and its technical re-equipment Such decisions require speed in view of a lot of contradictory factors (interrelations with suppliers and consumers of products, changeability of rivals’ behavior, problems of economic and social content, achievement of scientific and technical progress, etc.) In such conditions of functioning of business, the process of decision making on the basis of experience and specialists’ intuition is not effective It is necessary to apply modern information technologies, which are called “systems for managerial decisions support” (SMDS) [5] In view of weak formalization of such tasks, it is necessary to use the method of system analysis with the technology of expert evaluations for solving them – both at the initial and final stages of receipt and selection of most rational alternatives of managerial decisions [1] Such methodologies were developing intensely in the last decade of the 20th century, and now their application is advertised and implemented in certain regions of the RF It concerns the organization of business processes in the conditions of existing industrial production Automatization of support for the process of business processes management turned into independent scientific directions and became standard methodologies and their computer implementations It includes technologies MRP-ERP, among which are SAP/R3, BAAN IV, TOVE, etc [1] However, solving the problems related to organizational and technical reengineering of production are not taken to the state of standard technologies This is caused by weak structure of these problems, from formation of goals to technical decision making © Springer International Publishing AG, part of Springer Nature 2019 E G Popkova and V N Ostrovskaya (Eds.): ISC 2017, AISC 726, pp 1163–1171, 2019 https://doi.org/10.1007/978-3-319-90835-9_131 1164 T B Malkova and A V Malkov It should be noted that solving such tasks – i.e., transfer of descriptions of the general problem situation into the system of formal models, on the basis of which the variants of optimal managerial actions could be received – are studied in a lot of works A lot of various methods of expert evaluation of managerial decisions are offered However, they are of descriptive or recommendation character and are not taken to the form of specific technologies, especially during managerial decisions making in the conditions of large time and resource limitations which are peculiar for activities of enterprises of small and medium business Such companies include regional and municipal network and electric and heating supply organizations At present, they face the task of radical technical re-equipment for provision of measuring and accounting of electric energy at a whole new level [2] The tasks of increase of precision and speed of measuring of electric and heat energy and power in electric networks and the volume of heat energy in heating networks are predetermined by the following reasons: firstly, significant increase of the cost of electric and heat energy, secondly, performed reforms in the energy sphere of the RF Market relations led to the necessity for concluding direct agreements for usage of electric and heat energy in view of fines and limits from the energy system, which is caused by continuity of production, transfer, and consumption of electric energy Continuity of the technological process of production and consumption of electric energy leads to tough dependence of the volume of production of electric and heat energy from their consumption at each specific moment of time This also leads to the necessity of simultaneous measuring of consumed energy and power and highprecision forecasting of this consumption, as well as development of technical, organizational, and economic measures for leveling the schedules of load, which also sets additional requirements to the measuring systems Besides, introduction of payment from individuals for general usage places led to a lot of issues and contradictions among consumers, as installation of the systems of automatic control of electric and heat energy is often difficult due to absence of control nodes Technical means of measuring the volume and quality of electric energy and power, as well as heat energy, have been used from the very beginning of creation and development of the networks of electric and heat supply Moreover, these means are constantly improved and modernized according to general development of science and technology In recent years, a favorable situation from the economic and organizational point of view for creation of full-scale automatized systems of control of electric energy (AMR) and heat energy (ACCUTE) appeared [5] Creation of the system of control over electric energy and heat energy, which conforms to the whole complex of requirements, is a rather complex problems due to certain reasons: the necessity for large financial expenditures, lack of effective organizational, economic, and project & technical methodologies that ensure quick implementation in the scale of regional and municipal network and sales companies of modern AMR and ACCUTE [3] That’s why it is necessary to make the conceptual decisions that are most rational from the point of view of functional, technical, and economic effectiveness of the system’s work, which is possible during the usage of modern methods and means of project and managerial decisions support This, in its turn, requires determination of the necessary set of the functions of AMR and ACCUTE and their systematization from the position of significance and priority The Practical Method of Evaluation of Financial Risks 1165 The viewed problem is a part of the general task of decision making According to this, the technology of decision making in the class GTDM (general task of decision making) is formally presented as: GTDM : \G; Iin; Iout ; Ides; P; C [; where G – goals of decision making; Iin – initial data for creating alternatives; Iout – multitude of created alternatives; Ides – selected alternative; P – rule of alternatives; C – rule of selecting the best alternatives [1] According to this expression, two stages are distinguished in the technology of decision making: formation of multitude of alternatives; selection of acceptable alternatives, performed on the basis of ideas of experts and the person who makes a decision on quality of these alternatives In order to receive alternatives, it is necessary to determine the goals that should be achieved with the help of AMR at the scale of energy supply organization and to determine the set of functions that should be performed by AMR Obviously, this set of requirements, indicators, and characteristics should be structured for the purpose of determining their interconnection and mutual influence The most effective method of presenting such multi-component and diverse set of indicators is hierarchical structure Formally, such structure is viewed as a special type of ordered sets or a private case of graph It conforms to the laws of reflexivity, anti-symmetry, and transitivity Besides, the notion of ordered set is introduced – a set with the following additional quality: if x, y S, then either x y, or y x The final partially ordered set with the largest element b is determined as hierarchy if the initial set is divided into sub-sets (levels of hierarchy) Lk, k = 1, …, h, where L1 = { b } It is determined that the highest level of the hierarchical system of alternatives should be formed as a set of goals of functioning of AMR and ACCUTE For that, it is expedient to use the methodology based on minimization of risks related to activities of energy and heat supply organizations for transition of the energy sphere to market relations Such approach allows taking into account the whole complex of organizational, economic, and technical requirements to which modern AMR and ACCUTE should conform Based on analysis of the main groups of risks, the three-level hierarchical structure, presented in the form of hierarchical tree, is obtained (Fig 1): Sub-set of business risk RB consists of RO – risks of fluctuations of the volumes of sales of electric energy, RT – risks of regulation of tariffs, RB – political (external) risks Sub-set of financial risks RF consists of RH – risks of untimely payment for energy; RП – risks of commercial losses (unsanctioned consumption) of energy; RУ – risks of errors of accounting and control machines; RK – credit risks; RИ –investment risks; RД – risks related to purchasing power of money The set of physical risks RZ includes natural risks RE, risks of emergency situations RC, and risks of technical losses of energy RT The obtained structure of risks provides a target basis for determining the contents and structure of functions of AMR and ACCUTE The methodology of determining the functions of AMR and ACCUTE on the basis of analysis of risks could be presented as a ratio that sets the correspondence between the elements of sub-set of risks R and the elements of sub-set F of functions of AMR 1166 T B Malkova and A V Malkov R RF RB R R R R R R RZ R R R R R R Fig Hierarchical system of risks and ACCUTE: R ! F Homeomorphism of this ratio, i.e., execution of the condition ðr1 ; r2 ; rn Þ R ) ðf ; f ; f m Þ F, is ensured by usage as a systemic factor for determining the functions of AMR and ACCUTE of interconnection between the information required for minimization of risks and the information that should be provided by the system of control and accounting As a result, the functions of AMR and ACCUTE are determined on the basis of minimization of business, financial, and technical risks Hierarchical structures of functions of AMR and ACCUTE were obtained for minimization of business risks and technical risks The research is devoted to analysis and evaluation of priority of functions of AMR and ACCUTE Sub-systems of risks and functions are united into one multi-level system Based on analysis of binary relations, the integrated model of the system “risks-functions” is obtained in the form of hierarchical tree structure: As a result of application of the scale of relations with a three-level gradation, a specified model of the system “risks-functions” is provided, which allows for assessment of priorities of the system’s elements in view of all substantial connections (Fig 2) It is established that due to poor formalization of the task of evaluation of the functions of AMR and ACCUTE, it is expedient to use the method of expert evaluations of alternatives by paired comparisons It is proved that based on the conditions of solving the set systemic task, the most technological method is application of hierarchies’ analysis The Practical Method of Evaluation of Financial Risks 1167 R RB FÏ2 FỊ2 FÐ2 RF FĨ2 FÁ2 FĐ2 RZ FỊï2 FĐï2 FĨê2 FÏí2 FÈ3 FË3 FÌ3 FÊ3 FO3 FĨ3 FÍ3 FÂ3 FÏ3 FÄ3 FĐ3 FÐì3 FÏè3 FÐï3 FÄè3 FÐ÷3 … FÍï3 FÄó3 … FÀä3 Fig Hierarchical structure of the system of alternatives “risks – functions” for the task of evaluating the priorities of functions of AMR and ACCUTE Analysis is based on the matrix of paired comparisons of substantial qualities and functions of the system Its elements are determined according to the following rules: if aij = a, then aij = 1/a, a 6¼ 0; if evaluations are similar, that quality or function of the system xi, as compared to quality or function xj, has relative priority which is by a times larger or smaller, and if equal then aij = 1, aji = In particular, aii = for all i Thus, the formed matrix is anti-symmetric: After presenting quantitative statements on pairs (xi, xj) in numerical expression through aij, the task is brought down to the following: the possible qualities and functions x1, x2, …, xn, which should be performed by AMR, should conform to a lot of numerical weights w1, …, wn, which would correspond to established statements Based on this, it is possible to determine the following equation: AW ¼ nW; ð1Þ where n – maximum own value that equals the order of matrix, W – maximum own vector The maximum own vector of matrix A determines succession of priorities, and the value of maximum own value is the measure of coordination Evaluation of priorities from interrelation of various levels of hierarchy is determined from the following ratios S – full hierarchy with the largest element b and h levels Bk – matrix of 1168 T B Malkova and A V Malkov priorities of k – th level, h = 2, …, k If W’ – vector of priorities of the p-th level as to a certain element z in (p − 1) –th level, vector of priorities W of q-th level (p < q) as to z is calculated in the following way: Wq ¼ Bq Bq À .B p ỵ 1W': 2ị Thus, vector of priorities of the lowest level as to element b will equal: W ẳ Bh Bh .B2W': 3ị The technology of systemic evaluation of significance of functions of AMR is offered in the form of succession of stages and iteration procedures of application of the methods of hierarchy analysis, which allows for practical solutions of the tasks, from analysis of business processes to managerial decision making For increasing the effectiveness of the technology of systemic analysis of evaluation of the significance of AMR functions, the recommendations are developed on application of two-, three-, five-, and nine-point scales of paired comparisons; for minimization of the number of expert evaluations of alternatives by application of evaluation tables for off-diagonal or below-diagonal elements of the matrix of paired comparisons; for determining the conditions of applicability of various methods of increasing the coordination of matrix of paired comparisons; for reducing the size of matrices of paired comparisons by grouping matrix elements into clusters according to their relative significance The algorithm of the technology of application of the evaluation of AMR functions’ significance is given below Evaluations of significance of the elements of hierarchical levels of the system “risks-functions” are determined in the form of the vector of priorities of main risks (second level) as to the general goal and vectors of significance of the AMR functions (third level) as to the risks of the second level Systemic evaluation of AMR functions is performed, on the basis of assessments and interrelations of functions that are a part of separate levels of hierarchies [1] The Practical Method of Evaluation of Financial Risks 1169 As a result, specific numerical values of assessments are received in the form of the elements of resulting vector of priorities WP of these functions Analysis of the received assessments showed that effectiveness of application of the system of control over electric energy depends on information and analytical provision by more than a third: A specific problem of selecting the most rational type of AMR for Ivgorelectroset is studied It is established that preferences should be evaluated on the basis of the vector of significance of the main measuring and technical functions: – functions of increase of reliability, – functions of consideration of technical losses, – reconfiguration of control points Vector of priorities of these functions will have the following form: ð4Þ 1170 T B Malkova and A V Malkov The preliminary analysis showed that according to the forms of performed functions and exploitation and economic indicators, three types of AMR fit the best: Piramida, created by Systems and Technologies OJSC, Vladimir; the complex NI – OGIMS (AMR “Matrix”), and the program and technical complex EKOM created by the engineering company Posoft-systems, Ekaterinburg Vector of preferences WM for selecting the type of the model is determined by equation: €   where: wI - priority of AMR “Piramida”; wI - priority of AMR “Matrix”; wY - priority of the complex “EKOM” Calculations showed that AMR “Matrix” received the highest priority Thus, the set task has been solved Unfortunately, in the regions the systems AMR and ACCUTE are being implemented very slowly – though the tariff for electric energy in Ivanovo region includes this project, but it was not implemented in practice Effectiveness of these projects is obvious, but financial resources are scarce The expenditures for the project cannot be set on consumers, as supply of electric and heat energy is a social service However, the requirements of digital economy should accelerate implementation of these projects on saving of energy resources of electric energy and heat energy References Malkov, A.V., Staroverov, B.A.: Methodology of determining the priority of AMR functions on the basis of risk assessment Bull ISEU, Ivanovo 5, 71–79 (2007) Malkov, A.V.: Systemic analysis of the functions of control and accounting of electric energy based on the condition of risk minimization Collection of works of KSTU, Kostroma, 41– 46 (2007) Volkova, I.O., Malkov, A.V., Ryasin, V.I., Malkova, E.B.: Evaluation of risks of implementing AMR in electric networks of Ivanovo Bull ISEU 4, 50–52 (2004) The Practical Method of Evaluation of Financial Risks 1171 Volkova, I.O., Ryasin, V.I., Malkov, A.V.: Improvement of the system of accounting of electric energy in energy supply organization In: The Works of the 5th International Scientific and Practical Conference, Economics, Ecology, and Society of Russia in the 21st Century, SPb, pp 68–72 (2003) Malkova, T.B.: Methodology of analysis of functioning of corporate structures in electric energy of the region Monograph, Ivanovo, Ivanovo State University of Energy named after V.I Lenin, 247 p (2011) Author Index A Abdullaev, Nizami V., 32 Abramov, Denis V., 350 Abyzova, Elena V., 97 Agafonov, Valery, 464 Akopova, Elena S., 320, 668 Akopyants, Arega M., 839 Alborieva, Sultanat N., 128 Alekhina, Ekaterina S., 207 Alekseev, Alexander N., 972 Aleksin, Anton Y., 473 Aleksina, Anastasia O., 473 Allenykh, Marina A., 244 Altukhov, Anatoly I., 800 Altynnikova, Liudmila A., 423, 488 Amvrosova, Olga N., 439 Anashkina, N A., 279 Anopchenko, Tatyana Y., 350 Arkhipov, Aleksander N., 1026 Arkhipova, Maria V., 1026 Aseeva, Elena N., 1041 Asilderova, Leyla M., 128 Asrieva, Ekaterina N., 1109 Astafeva, Nonna, 1033 Astrakhantseva, Elena Y., 701 Atayan, Gayane Y., 439 Avanesova, Anna A., 646 Avdeyuk, Danila N., 456 Avdeyuk, Oksana A., 456, 1041 Averin, Alexander V., 221 Avkopashvili, Pavel T., 182 Avlasenko, Ilona V., 64 B Babchenko, Anna P., 709 Balahanova, Dariko, 537 Bannikova, Natalia V., 701 Basanova, Elena E., 1109 Belova, Ekaterina E., 1026 Belyaev, Alexandr N., 654 Berezhnova, Olga V., 1060 Berger, Ekaterina G., 97 Bestuzheva, Larisa I., 529 Bezgina, Olga, 964 Bezlepkina, Anna A., 217 Bezrukov, Aleksandr, 80 Bezrukova, Tatiana L., 546 Bludova, Svetlana N., 783 Bobrova, Tatiana O., 141 Bogdanova, Olga G., 141 Bogoviz, Aleksei V., 39, 108, 189, 758, 800, 870, 972 Bolshunov, Andrey Y., 1075 Borzenko, Ksenia V., 887 Botasheva, Asiyat K., 585 Brizhak, Olga, 308 Bubnova, Galina V., 320 Budovich, Yuliya, 358 Bukina, Yulia V., 957 Butenko, Ekaterina D., 326 Butorin, Sergey N., 758 Buyanova, Marina E., 817 C Cherepukhin, Timofey Y., 182 Chernikova, Olga A., 783 Chernitsova, Karina A., 39 Chernova, Dana V., 473, 943 Chernova, Olga A., 817 Chernyshova, Elena V., 654 Chernyshova, Lidiya I., 1075 © Springer International Publishing AG, part of Springer Nature 2019 E G Popkova and V N Ostrovskaya (Eds.): ISC 2017, AISC 726, pp 1173–1178, 2019 https://doi.org/10.1007/978-3-319-90835-9 1173 1174 Chigirinskaya, Natalia V., 573 Chusov, Ivan A., 529 D Darda, Ekaterina, 288 Dedyukhina, Irina F., 980 Demishkevich, Galina M., 108 Derepasko, Svetlana V., 11 Digilina, Olga B., 32 Dikanov, Maxim Y., 500 Dmitrieva, Evgeniya A., 182 Donskova, Olga A., 238 Dotdueva, Zukhra S., 46 Drannikova, Elena A., 1116 Dubova, Yulia I., 386 Dudchenko, Anna V., 904 Dudina, Elena V., 917 Dugina, Tatiana A., 950 Dumnova, Natalya A., 602 Dykan, Yulia A., 695 Dzedik, Valentin A., 573 E Efimova, Olga V., 320 Egorova, Anastasia, 464 Egorova, Irina E., 1156 Eldarov, Shamil K., 326 Enns, Yelena A., 1060 Epinina, Veronika S., 554 Ermakova, Anna N., 695 Ermolaev, Konstantin N., 254 Evdokimov, Konstantin N., 409 Evetskaya, Svetlana V., 931 F Fedotova, Gilyan V., 895 Fetisov, Dmitrii N., 199 Fetisova, Olga V., 810 Filatova, Natalia I., 1124 Filatova, Natalia, 1033 G Gagarin, Aleksei G., 1156 Gavrikova, Yulia A., 1026 Gavrilova, Irina S., 11 Gaytova, Laura K., 403 Getmanskaya, Marina Y., 839 Gladilin, Alexandr V., 46 Gladkova, Yulia V., 500 Glazkova, Irina Y., 326 Glushchenko, Alexandra V., 741 Godina, Olga V., 118 Golikova, Natalia V., 546 Golodova, Olga A., 895 Author Index Golovchenko, Igor F., 846 Golubeva, Tatiana G., 783 Golyakova, Anna O., 620 Goncharov, Alexander, 368 Gorbunov, Aleksandr P., 639 Goremykina, Galina I., 456 Gorlov, Sergey M., 723 Gornostaeva, Zhanna V., 207 Grigoriev, Vladimir D., 300 Gruzkov, Igor V., 1005 Gryadunova, Alina V., 449 Gubachev, Vladimir A., 350 Gubareva, Lyudmila I., 11 Gukasov, Arsen V., 676 Gurulev, Dmitry N., 1041 Guryanov, Nikolai, 1033 Guryanova, Anna, 1033 I Imnaev, Shamil A., 431, 709 Inshakova, Agnessa O., 368 Iskandaryan, Goar O., 793 Ivanov, Nikolai P., 817 Ivanova, Lidia A., 473 Ivanova, Tatiana, 964 Ivashchenko, Tatyana N., 609 K Kaliberda, Igor V., 863 Kamyshansky, Vladimir P., 904 Kara-Kazaryan, Tatiana V., 439 Kasaeva, Tatiana V., 639 Kasevich, Ekaterina V., 439 Kazachenok, Svetlana Y., 368 Khadikov, Mikhail K., 403 Khafiyatullina, Elmira, 1033 Khanenko, Mariia E., 488 Kharchenko, Natalia P., 378 Kharitonova, Ekaterina N., 1091 Kharitonova, Natalia A., 1091 Khatueva, M M., 1082 Khrebin, Maksim V., 1101 Khrebina, Svetlana V., 1101 Kicheva, Inna V., 839 Kiseleva, Anna V., 839 Klimkova, Ksenia O., 1047 Klimovskikh, Yulia A., 46 Klochko, Elena, 308 Klochkova, Elena, 288 Kobyakova, Irina A., 1124 Kochkarova, Zarema R., 723 Kokoeva, Luiza T., 403 Kolieva, Angelina E., 403 Kolinichenko, Irina A., 1109 Author Index Kolomiets, Evgeny A., 904 Kolyadin, Aleksandr P., 639 Komarova, Evgeniya A., 238 Komov, Igor V., 546 Konina, Olga V., 269, 1053 Kononova, Elena E., 748 Korobov, Sergey A., 554 Korolev, Vitaly A., 326 Korshikova, M V., 716 Kosenko, Oksana Y., 1109 Kosenkova, Yulia Yu., 118 Kosinova, Elena A., 980 Kosov, Gennady V., 676 Kotlyarevskaya, Innessa Y., 733 Kovalenko, Oksana A., 895 Kozlov, Vladimir A., 684, 863 Kozlov, Vyacheslav G., 654 Kozlova, O A., 279 Krasnikov, Alexander V., 261 Krasnokutskiy, Pavel A., 23 Krivorotova, Natalia F., 593 Kucherova, Yekaterina P., 741 Kuizheva, Saida, 537 Kulikova, Svetlana, 80 Kurchenkov, Vladimir V., 810 Kusakina, Olga N., 261, 695 Kushnaryova, Inna V., 207 Kuznetsov, Igor M., 800 Kuznetsov, Sergei Y., 1156 Kuznetsov, Viktor P., 480 Kuznetsov, Viktor, 464 Kuznetsova, Elena N., 141 Kuznetsova, Irina V., 423 Kuznetsova, Ludmila A., 917 Kuznetsova, Oksana N., 1134 L Labovskaya, Yulia V., 46 Lapaev, Dmitry, 464 Larionova, Anna A., 229 Lazarenko, Alla L., 602 Lebedev, Konstantin, 358 Lebedinskaya, Olga G., 97 Lebedinskaya, Olga, 87 Legostaeva, Svetlana A., Leshcheva, Marina G., 500 Lesnikova, Elvira, 537 Likholetov, Evgeny A., 950 Lipinsky, Dmitry A., 409 Litvinova, Tatiana N., 701, 793 Lobova, Svetlana V., 39, 221, 972 Loginova, Ekaterina V., 943 Loktionova, Elvira A., 488 Lovyannikova, Valentina V., 723 1175 Lugovskoy, Sergey I., 783 Lukyanchikova, Tatiana L., 602, 748 Lula, Pawel, 87 Lyapina, Innara R., 449, 748 Lysak, Oksana G., 917 M Magomedov, Arsen I., 128 Makarov, Anatoly M., 620, 863 Makarov, Evgeniy I., 511 Makarova, Nadezhda N., 529 Makaryeva, Viktoria Y., 518 Maksimenko, Liudmila S., 118 Maksimov, Vladimir Y., 1134 Makusheva, Julia A., 480 Malkov, Aleksei V., 1163 Malkova, Tatiana B., 1163 Malofeev, Alexander V., 950 Malyar, Sergey S., 344 Malyutina, Tatyana D., 895 Marakhovskaya, Galina S., 593 Marusinina, Elena Y., 554 Medvedeva, L N., 989 Mezentseva, Yulia R., 118 Mihaylichenko, Nikolay A., 518 Mikhailov, Alexandr M., 254 Mikheykina, Lilia, 87 Miller, Irina S., 585 Minakova, Elena I., 602 Minina, Anna A., 646 Mironenko, Nadezhda V., 609 Miroshnichenko, Nadezhda V., 378 Mitrofanova, Inna A., 817 Mitrofanova, Inna V., 817 Moiseeva, Valentina Y., 254 Momotova, Oksana N., 261, 980 Morozova, Irina A., 393, 701 Moseiko, Viktor O., 554 Mosina, Ekaterina I., 602 Mukhoryanova, Oksana A., 173 Murzin, Anton D., 500 Musaeva, Aminat M., 128 Musaeva, Zarema A., 128 Musatkina, Aleksandra A., 409 N Nanetadze, E D., 1053 Narozhnaya, Galina A., 1134 Nazvanova, Karina, 135 Nechaev, Vasiliy I., 870 Nedvizhay, Svetlana V., 378 Nemirovskaya, Elena A., 199 Nesterenko, Dina I., 238 Nikolaeva, Yuliya R., 511 1176 Nikulina, Svetlana A., 1109 Novikova, Irina V., 1116 Novoseltseva, Ekaterina G., 554 O Obyedkova, Larisa V., 199 Okolelova, Ella Y., 56 Olyanitch, Andrew V., 151, 630 Opeikina, Tatiana V., 199 Osadchy, Aleksandr I., 709 Osetskaya, Mariya M., 244 Osinin, Ilya D., 620 Oveshnikova, Lyudmila, 72, 80, 87 P Panfilova, Olga V., 64 Parshutina, Inna G., 423, 488 Paulov, Pavel A., 399 Pavlenko, Irina I., 1068 Pavlenko, Veronika G., 141 Pavlova, Elena S., 199, 456 Paytaeva, Kometa T., 500, 931 Pecherskaya, O A., 337 Penkova, Inessa V., 326 Perepadya, Olga A., 646 Perevozchikov, Sergei Y., 300 Peshkhoev, Isa M., 64 Petrov, Denis, 964 Petrushkina, Anna V., 911 Piliugina, Ekaterina I., 1060 Pilivanova, Elena K., 668 Pimenova, Olga V., 646 Pisarenko, Elena A., 733, 863 Piskaykina, Marina N., 473 Plakhova, Liubov V., Pleskanyuk, Tatiana N., 1026 Podkolzin, Yuri V., 64 Pogorelova, Elena V., 254 Poklonskaya, Violetta D., 1060 Polshinskaya, Anastasia Y., 943 Polyakova, Elena Y., 518 Ponomarenko, Marina V., 518 Ponomareva, Elena A., 378 Popova, Larisa V., 950 Popova, Lyudmila K., 668 Popova, Zhaneta A., 593 Popovicheva, Natalya E., 609 Posazhennikov, Arthur, 135 Postovalov, Stepan S., 620 Protopopova, Natalia I., 300 Pryadko, Irina A., 931 Przhedetskaya, Natalia V., 887 Przhedetskaya, Viktoria Y., 887 Author Index Przhedetsky, Yuri V., 887 Pulyaeva, Valentina N., 1091 R Ragulina, Yulia V., 39, 182, 221 Rayushkina, Alevtina A., 1041 Reikhanova, Irina V., 957 Revina, Svetlana N., 399 Revunov, Roman V., 931 Revunov, Sergey V., 350 Rodionova, Valentina I., 1144 Rogachev, Aleksey F., 774, 989 Romanko, Lyudmila V., 676 Romanova-Samokhina, Svetlana M., 917 Romashov, Roman, 563 Rudenko, Andrey M., 1144 Rudenko, Evgenia Y., 904 Rumachik, Irina A., 585 Rusanovsky, Evgeny V., 783 Ryabov, Vladimir N., 593 Ryazantsev, Ivan I., 723 Ryndiuk, Viktoria A., 684 Ryzhenkova, Natalia E., 108 S Sadovnikova, Natalia, 288 Saenko, Irina I., 793 Safonova, Natalia A., 546 Sagatelova, Liana S., 238 Saifetdinova, Natalya R., 870 Sakhnyuk, Pavel A., 716 Sakhnyuk, Tatyana I., 716 Saklakova, Elena V., 1116 Samarina, Ekaterina, 72 Samotsvetova, Aleksandra, 288 Sandu, Ivan S., 108 Santalova, Marianna, 537 Sapfirova, Apollinariya A., 911 Sariev, Sergey S., 943 Savchenko, Irina P., 173 Savchenko, Tatyana D., 846 Savelyeva, Oksana G., 64 Savtsova, Anna V., 1116 Semenov, Vladimir A., 189 Semenova, Elena I., 182, 189, 221 Semenova, Elena M., 166 Senkina, Tatiana A., 917 Serdiukova, Elena F., 1060 Sergienko, Elena S., 518 Shabarchina, Irina V., 972 Shakhovskaya, Larisa S., 217, 1047 Shalaev, Ilya A., 449 Shapovalova, Margarita L., 1101 Author Index Sharunova, Elena V., 46 Shatskaya, E., 279 Shcherbakova, Tatiana A., 118 Shchukina, Natalia A., 456 Shelkoplyasova, Galina S., 261 Shevchenko, Evgeny A., 1116 Shibaeva, Marina A., 56 Shidakova, Elena E., 173 Shiro, M S., 989 Shiryaev, Sergey A., 1041 Shkodinsky, Sergey V., 39 Shubina, Elena A., 511 Shulgin, Aleksey V., 56 Shulgina, Larisa V., 56 Shulzhenko, Vyacheslav I., 846 Shutova, Oksana A., 716 Shvaleva, N M., 1082 Sibirskaya, Elena, 72, 80, 87 Simonov, Aleksei B., 1156 Simonov, Sergey Y., 221 Sinitsin, Artem A., 344 Skiperskaya, Elizaveta V., 378 Skiter, Natalia N., 238 Skobliakova, Irina V., 748 Skripnik, N M., 1082 Skrypnikov, Aleksey V., 654 Skvortsova, Anastasia N., 943 Sokolov, Yury I., 320 Solovyev, Andrey M., 904 Sosunova, Lilyana A., 254 Stankevich, Galina V., 439, 676 Stepanova, Kristina V., 344 Stepanova, Oksana A., 423, 488 Stepanova, Valeriya N., 1144 Strelkova, Lyudmila V., 480 Stroeva, Olesya A., 449 Suganova, Marina I., 11 Sukhostav, E V., 279 Svistunova, Inna G., 716 Syromyatnikov, Denis A., 723 T Taidaev, Ruslan M., 511 Taranova, Irina V., 173 Tarasov, Dmitriy I., 480 Tarasova, Irina A., 456 Tekeeva, Madina U., 676 Tekin, Alexandr V., 269 Tenetilova, Valentina S., 11 Tenetova, Evgeniya, 72 Terentyeva, Ekaterina A., 1101 Teslenko, Irina B., 32 Timofeev, Alexander G., 97 Timofeev, Alexander, 87 1177 Timofeeva, Elena A., 563 Timoshenko, M A., 989 Tishaev, Vladimir V., 449 Titareva, Viktoria A., 546 Tkachenko, Anastasia E., 1134 Tkachenko, Denis A., 895 Tkachenko, O N., 279 Toiskin, Vladimir S., 1134 Tokarev, K E., 989 Tokareva, Galina V., 695 Tokova, Leyla D., 639 Tolmachev, Aleksey V., 793 Tonkov, Evgeny N., 563 Toymentseva, Irina A., 254 Trofimov, Oleg V., 480 Trukhina, Natalia I., 56 Trunova, Ekaterina, 537 Tsikin, Alexey, 1013 Tskhadadze, Nelly, 358 Tsvetkova, Irina, 964 Tsygankova, Evgenia A., 646 Tyurikov, Alexander G., 1075 U Ugnich, Ekaterina A., 23 V Vadelova, H Y., 1082 Vartanova, Karina Y., 839 Varvus, Svetlana A., 244 Vasyuchkova, Oksana A., 344 Velikanov, Vasilii V., 1156 Vitkovskaya, Leokadiya V., 846 Vlasova, Maria A., 166, 748 Volgina, Svetlana V., 350 Volkova, Viktoria V., 911 Vorobeva, Elena A., 173 Vorobyev, Gennady A., 684, 1068 Voronkina, L B., 1082 Vorontsova, Galina V., 261, 980 Y Yakovenko, Natalya N., 980 Yakovlev, A V., 337 Yamshchikova, Tatiana N., 423 Yankovskaya, Veronika V., 972 Yarkova, Ilona V., 741 Yashin, Sergey, 464 Yundin, Roman N., 1101 Yushkova, Orzu O., 166 Z Zabaznova, Daria O., 950 Zaitseva, Natalia A., 229 1178 Zakharkina, Natalia V., Zakharov, Pavel, 135 Zakharova, Zhanna, 135 Zaytsev, Alexey G., 3, 166 Zelenova, Galina V., 931 Zelikov, Vladimir A., 668 Author Index Zhdanova, Oksana V., 593 Zhuravleva, Tatyana A., 609 Zinovyeva, I S., 337 Zmiyak, Sergey S., 23 Zvereva, Tatyana V., 166 Zviagintceva, Yuliia A., ... consideration of new ICT in the modern economy and law and determination of limits and perspectives of their usage The volume contains the leading studies on the issue of usage of new ICT in the. .. information The perspectives of information economy development are studied Keywords: Information economy Á Information Á Information technologies Asymmetry of information Á Information noise Á Information. .. Ekaterina V Kasevich Recommendations for Using New Information and Communication Technologies in Modern Economy Priorities of Using the New Information and Communication Technologies in Modern Economy