Scientific journal
Economics. Law. Innovation

Abstract

This article presents the features of the formation of the positioning strategy of event projects for children's target audiences. The impact of marketing mechanics on children themselves and decision makers is taken into account. The authors propose a method for developing positioning for scientific and cultural event projects that work with these audiences. The method takes into account the age and behavioral characteristics of consumers and includes: a model for identifying the needs of children and subjects influencing the formation of these needs, and an author's algorithm for analyzing services that helps identify the strengths of the company that should be taken into account in positioning. At each stage of the method, the authors offer methodological recommendations indicating specific marketing models and tools that need to be used to develop a positioning strategy.
Thus, a complex target audience is considered, for which, based on the conducted research, groups of properties are proposed that form the basis of the positioning strategy of scientific and cultural event projects.
The results of the study can be used in the development of a positioning strategy for various projects aimed at a children's audience, the algorithm for analyzing services can be adapted for companies from various fields.

Keywords: children's projects, cultural projects, decision maker, event projects, positioning strategy, scientific projects

References:

1.   Porter M. Competitive Strategy: Techniques for Analyzing Industries and Competitors. М.: Alpina Publisher. 2020. 608 p. (In Russ.).
2.   Ries A., Trout J. Positioning: The Battle for your Mind. McGrow-Hill. 2000. pp. 15–22.
3.   Agarwal P.K, Kumar P., Gupta S. Right Brand Positioning: a Road to Success at Market Place, 2020. Available at: https://www.resear chgate.net/publication/344099819_RIGHT_BRAND_POSITIONING_A_ROAD_TO_SUCCESS_AT_MARKET_PLACE
4.   Hooley G., Saunders J. Marketing Strategy and Competitive Positioning. United States: Prentice Hall. 2009. pp. 245–250.
5.   Prigoda L.A. Approaches to Choosing a Positioning Strategy in Marketing. Alleya nauki. 2018. Vol. 5. No. 5 (21). pp. 719–722. (In Russ.).
6.   Bozhovich L.I. Personality and Its Formation in Childhood. SPb.: Piter. 2008. pp. 144–145. (In Russ.).

7.   Afanasyev Ya.V., Afanas’eva E.E. Positioning Strategy: Features of Development for Modern Companies. Novaya ekonomika: instituty, instrumenty, trendy. Materialy mezhdunarodnoj nauchno-prakticheskoj konferencii. Orel. 2021.  pp. 216–224. (In Russ.).

Abstract
The article presented by the author allows you to examine the possibilities of using information technologies in public administration. As an example, the process of introducing information technologies into the daily activities of the Russian Ministry of Finance, as well as in the provision of municipal and public services at the current stage of development, is studied. In the current period of development of society, there are certain difficulties in the active use of modern advances in information and telecommunications at the level of public administration.

Keywords: information system, information technology, municipal services, public administration, public power, public services, technology implementation

References:

1. О Стратегии развития информационного общества в Российской Федерации на 2017–2030 годы: Указ Президента РФ от 09.05.2017 № 203 // СПС «КонсультантПлюс» [Электронный ресурс]. – Режим доступа: https://www.consultant.ru/docu ment/cons_doc_LAW_216363/
2. Бестолкова Г.В. Государственные электронные услуги: виды и особенности // Государственное управление. Электронный вестник. 2017. № 65.
3. Восколович Н.А. Экономика платных услуг. – М.: ЮРАЙТ, 2017.
4. Евсиков К.С. К вопросу о формировании концепции «цифрового государства» // Информационное право. 2021. № 1. С. 17–21.
5. Мониторинг развития информационного общества в РФ. Статистический сборник. – Росстат, 2022.
6. Федеральная служба государственной статистики // Официальный сайт [Электронный ресурс]. – Режим доступа: www.gks.ru
7. Березко В.Э. The Public-Legal Nature of State Power [Электронный ресурс]. – Режим доступа: https://mgimo.ru/upload/iblock/ab8/publichno-pravo vaya-priroda-gosudarstvennoj-vlasti.pdf
8. Ромайкин И.А. Особенности правовой природы федеративного государства и их влияние на сущность государственной власти // Актуальные проблемы российского права. 2017. № 5. С. 167–174.  DOI: 10.17803/1994-1471.2017.78.5.167-174/
9. Essence, Signs, Properties, Political and State Power [Электронный ресурс]. – Режим доступа: http://newinspire.ru/lectures-on-the-theory-of-state-and-law/essence-features-properties-political-and-state-power-2020/ (In Eng.).
10. Russia in the Digital World: International Competition and Leadership [Электронный ресурс]. – Режим доступа: https://eng.globalaffairs.ru/articles/ russia-digital-world-leader/ (In Eng.).
11. О мерах по обеспечению ускоренного развития отрасли информационных технологий в Российской Федерации: Указ Президента РФ от 02.03.2022 № 83 [Электронный ресурс]. – Режим доступа: http://publication.pravo.gov.ru/Document/ View/0001202203020001
12. Об утверждении концепции «Оптимизации механизмов проектирования и реализации межведомственного информационного взаимодействия, оптимизации порядка и утверждения административных регламентов в целях создания системы управления изменениями»: Распоряжение Правительства РФ от 20.08.2015 № 1616-р // СПС «КонсультантПлюс» [Электронный ресурс]. – Режим доступа: https://www.consultant.ru/document/ cons_doc_LAW_185158/e90344a5e81966378b1d509a93b5e2fd8e47f2e2/

13. Об утверждении программы «Цифровая экономика Российской Федерации» и программы «О системе управления реализацией программы «Цифровая экономика»: Распоряжение Правительства РФ от 28.07.2017  № 1632-р // СПС «КонсультантПлюс» [Электронный ресурс]. – Режим доступа: http://www.consultant.ru/document/ cons_doc_LAW_319701/92d969e26a4326c5d02fa79b8f9cf4994ee5633b/

Abstract

Currently weather derivatives have become especially relevant due to climate change and weather disasters. Inexperience and lack of practice can lead to such threats as economic security risks that affect all areas of enterprise. This article discusses the problem that weather derivatives, despite their ability to minimize risks, become themselves sources of other risks. There is a theoretical justification of this effect, defined as «risk focus shift». Study purpose is to confirm «derivative’s effect» and justify developed theoretical model using VAR method to assess emerging threats and consequences on enterprise's economic security – Weather-Security VAR. In particular, this model is focused on enterprises in the Far East region, which are currently the most affected by the climate change. The obtained results of study can be used for formation and development of derivative theoretical block. From a practical point of view, the presented model can be used by heads of companies and regional investment operators for assessing the likelihood of weather risks and consequences of threats to economic security.

Keywords: economic security, enterprise risks, uncertainty, value at risk, weather derivatives

References:

1. Yasean Tahat, Theresa Dunne, Suzanne Fifield, David Power. Risk-Related Disclosure: a Review of the Literature and an Agenda for Future Research // Accounting Forum. 43:2. pp. 193–219.
DOI: 10.1080/01559982.2019.1584953.
2. Bank for International Settlements. Statistics. OTC derivatives in circulation. BIS official website. Available at: https://www.bis.org/statistics/derstats.htm? m=2071
3. Riederová S., Růžičková K. Historical Development of Derivatives' Underlying Assets. Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis. 2011. No. 59.
DOI: 521-526. 10.11118/actaun201159070521.
4. Rakhimov Z.Yu. Financial Instruments for Hedging Environmental Risks. PSE. 2018. No. 1 (65). Available at: https://cyberleninka.ru/article/n/finansovye-instrumenty-dlya-hedzhirovaniya-ekologicheskih-riskov (In Russ.).
5. Botoş H., Ciumaş C. The Use of The Black-Scholes Model In The Field Of Weather Derivatives. Procedia Economics and Finance. 2012. Vol. 3. pp. 611– 616.
DOI: 611–616. 10.1016/S2212-5671(12)00203-1
6. Shichalina V.A. Improving the Methodological Support for Accounting for Over-the-Counter Derivative Financial Instruments: dis. Phd in Economics : 08.00.12 : defended 05.09.22 : app 31.05.22 / Shichalina Valeriia Allekseevna. M. 2022. 203 p. (In Russ.).
7. U.S. Global Change Research Program National Climate Assessment, Extreme Weather. Official website of The Third National Climate Assessment. Available at: https://nca2014.globalchange.gov/ highlights/report-findings/extreme-weather

8. Lukyanets A.S., Garibova F.M. Socio-Economic and Demographic Consequences of Global Climate Change for the Russian Far East. III All-Russian Demographic Forum with International Participation: Forum Materials (Moscow, December 3-4, 2021). Ed. ed. T. K. Rostovskaya. Moscow. FNISTs RAS. 2021. pp. 251–255. (In Russ.).

9. Stulz R. Why Risk Management is not a Rocket Science. Financial Times. 2000. June 27. Available at: https://bpb-us-w2.wpmucdn.com/u.osu.edu/dist/ 0/30211/files/2019/07/Why-risk-management-is-not-risk-science.pdf

10. Sill K. The Economic Benefits and Risks of Derivative Securities. Business Review. Federal Reserve Bank of Philadelphia. Issue Jan, pp. 15–26. Available at: https://www.philadelphiafed.org/-/media/frbp/assets/economy/articles/business-review/19 97/january-february/brjf97ks.pdf
11. Rossina N.S. Derivative Financial Instruments, Their Risks and the Possibility of Using in the Regional Economy. Social’no-politicheskie issledovaniya. 2020. No. 4 (9). pp. 106–120. (In Russ.).
DOI: 10.20323/2658-428X-2020-4-9-106-120.
12. Smelik R. Economic Security of the Organization: Financial Component Management. Financial Law Review. 2020. No. 18 (2). pp. 32–47. (In Eng.). DOI: 10.4467/22996834FLR.20.008.12430.
13. Prettenthaler F., Koberla J., Bird D. Weather Value at Risk: A Uniform Approach to Describe and Compare Sectoral Income Risks from Climate Change. Science of the Total Environment. 2016. Vol. 543. Part В. pp. 1010–1018.
DOI: 10.1016/j.scitotenv.2015.04.035
14. Bilan Y., Mentel G., Streimikiene D., Szetela B. Weather Risk Management in the Weather-Var Approach. Assumptions of Value-At-Risk Modeling, Economic Computation and Economic Cybernetics Studies and Research. 2020. No. 1. pp. 31–48. DOI: 10.24818/18423264/54.1.20.03
15. IFRS 13 «Fair Value», app. 01.01.2013. Official website IFRS. Available at: http://www.ifrs.org/content/

16. Corporation of the Far East and the Arctic JSC. Official website. Available at: https://erdc.ru/ (In Rus.).

Abstract

The article presents the features of the approach to the promotion of gaming products of various types, the definition of the type of consumers according to preferences in the gaming product, the approach to determining the marketing of the involvement of the gaming product. A method of promoting gaming products based on the concept of engagement marketing is proposed. The method includes the stages of analytics and the formation of a promotion strategy, the choice of strategic alternatives, an assessment of the specifics of the game product and the characteristics of the target audience when choosing a strategy, recommendations on the choice of engagement marketing tools. The results of the study can be used to develop a strategy for promoting gaming products of various types, as well as if necessary to use the concept and tools of engagement marketing in the promotion.

Keywords: consumers, engagement marketing, game products, genres, promotion strategy

References:

1. Beyond 2021: Where Does Gaming Go Next? Google for Games. Available at: https://games.withgoogle.com/reports/beyondreport/#section_blue-island
2. Global Games Market Report 2022. Newzoo: statistical portal. Available at: https://newzoo.com/resources/trend-reports/newzoo-global-games-market-report-2022-free-version
3. Rules of the Game: The Present and Future of the Video Game Industry. Universitet Innopolis. 2023. 92 р. Available at: https://innopolis.university/filespublic/daydzhest_po_videoigram.pdf (In Russ.).
4. 54 Gamification Statistics You Must Know: 2023 Market Share Analysis & Data. Finances Online Research Center. Available at: https://financesonline.com/gamification-statistics/
 5. Galoynkin S. Marketing of Games. Version 1.1. Sergey Galoynkin. Official website. 2014. 78 p. Available at: https://galyonkin.com/wp-content/ book/Games-Marketing-by-Galyonkin-designed.pdf (In Russ.).
6. Not a Single Mislide: The Subtleties of Promoting
Mobile Games. Vc.ru. Electronic Platform for Entrereneurs and Highly Qualified Professionals. Available at: https://vc.ru/marketing/564194-ne-misli dom-edinym-tonkosti-prodvizheniya-mobilnyh-igr (In Russ.).
7. Nikitchenko E.A., Korytova V.E. Analysis and Features of the Approach to the Classification of Different Types of Gaming Products and Their Target Audience. Collection of abstracts of reports of the Congress of Young Scientists. St. Petersburg: ITMO University. 2023. Available at: https://kmu.itmo. ru/digests/article/10344 (In Russ.).

8. Grguric M. Mobile Game Marketing: The Ultimate Guide for 2023. Udonis. Internet portal. Available at: https://www.blog.udonis.co/mobile-marketing/mobile-games/mobile-game-marketing

Abstract

The paper considers the main prerequisites for the development and growth of the liquefied natural gas (LNG) market. The rates of energy transfer and the role of natural gas in the global energy balance are estimated. The international practice of LNG cargo trade has been considered, the market capacity has been analyzed, and the most promising sales directions have been identified. In the course of the study, the main approaches to quantifying the carbon footprint were compared, the life cycle of LNG was considered, and a conclusion was made about the need to create a unified integrated accounting methodology to ensure the most complete and transparent system for disclosing information about LNG cargoes.

Keywords: carbon footprint, economy, greenhouse gas emissions, liquefied natural gas, product lifecycle, standard

References:

1. Zamyatina M.F. Problems and Prospects for the Development of Russian Regions in the Conditions of the Fifth Geopolitical Turbulence. Ekonomika Severo-Zapada: problemy i perspektivy razvitiya. 2023. No. 1 (72). pp. 27–39. (In Russ.).
2. Smil V. Energy and Civilization: a History. MIT Press. 2018. 562 p.
3.  Mitrova T. Energy Transition and Risks for Russia. Neftegazovaya vertikal`. 2021. No. 6. Available at: https://ngv.ru/articles/energoperekhod-i-riski-dlya-rossii/ (In Russ.).

4.   Yanchenko E.V. The Oil and Gas Industry in the Context of Sustainable Economic Development in the Post-Pandemic Period. Aktual`nye problemy e`konomiki i menedzhmenta. 2021. No. 2. pp. 151–161. (In Russ.).
5. Chernyad`eva N.A. Sustainable Development Goals as a Factor in the Development of International and National Law. Okeanskij menedzhment. 2021. No. 3 (12). pp.19–23. (In Russ.).
6. Paris Agreement. UN. Official website. Available at: https://www.un.org/ru/climatechange/paris-agreement. (In Russ.).
7. The PRIMAP-hist National Historical Emissions Time Series. Available at: https://www.pik-potsdam.de/paris-reality-check/primap-hist/
8. BP Energy Outlook 2022. Available. at: https:// www.bp.com/content/dam/bp/business-sites/en/global/corporate/pdfs/energy-economics/energy-outlook/bp-energy-outlook-2022.pdf
9. Selezneva M.A., Gagulina N.L. Problems of Formation and Growth of the Liquefied Natural Gas Marketю Nauchnyj zhurnal NIU ITMO. Seriya: Ekonomika  i  ekologicheskij menedzhment. 2022. No. 1 (48). pp. 164–173. (In Russ.).
10. Arxipova U.A. Decarbonization as the Main Trend of ESC Transformation of the Gas Industry: the Experience of YAMAL LNG. Khronoekonomika. 2022. No. 2 (36). pp. 6–10. (In Russ.).
11. World LNG Report 2022. International Gas Union. Available at: https://safety4sea.com/wp-content/uploads/2022/07/IGU-World-LNG-Report-20 22-2022_07.pdf (In Russ.).
12. The Carbon-Neutral LNG Market: Creating a Framework for Real Emissions Reductions. Center on Global Energy Policy. Available at: https://www.energypolicy.columbia.edu/research/commentary/carbon-neutral-lng-market-creating-framework-real-emissions-reductions
 13. Transformation of the LNG Industry as Part of the Decarbonization of the Global Fuel and Energy Complex. Neftegaz.RU. Official website. Available at: https://magazine.neftegaz.ru/articles/spg/733425-transformatsiya-industrii-spg-v-ramkakh-dekarbonizatsii-mirovogo-tek/ (In Russ.).
14. GIIGNL MRV and Neutral LNG Framework. Available at: https://giignl.org/wp-content/uploads/ 2021/11/MRV-and-GHG-Neutral-Framework.pdf
15. ISO 14064-1:2018 – Greenhouse gases – Part 1: Specification with guidance at the organization level for quantification and reporting of greenhouse gas emissions and removals. Available at: https://www.iso.org/standard/66453.html
16. GOST R ISO 14067-2021 – Gazy parnikovye. Uglerodnyj sled produkcii. Trebovaniya i rukovodyashhie ukazaniya po kolichestvennomu opredeleniyu. Available at: https://protect.gost.ru/document.aspx?control=7&id=241428 (In Russ.).
17. ISO 14040:2006/Amd 1:2020 – Environmental management – Life cycle assessment – Principles and framework – Amendment 1. Available at: https://www.iso.org/standard/76121.html

18. ISO 14044:2006 – Environmental management – Life cycle assessment – Requirements and guidelines. Available at: https://www.iso.org/standard/38498.html

Abstract

The article is devoted to the evaluation of the activities of universities for the development of student entrepreneurship. The relevance of the study is due to the growing interest in the phenomenon of student entrepreneurship, while there is no single approach to identifying what can be attributed to the university's activities to develop entrepreneurial competencies among students and support student startups, as a result of which there are no uniform methodological and methodological bases for its assessment. As a result, there is also no unified methodological basis for its assessment. During the study, international and Russian rankings evaluating the activities of universities for the development of student entrepreneurship were considered and analyzed. The author's method of evaluating the activities of universities that contribute to the creation and development of student startups is proposed, on the basis of which a ranked list of Russian national research universities on entrepreneurship is formed. The results of the study may be of interest to a wide range of readers interested in studying and developing the entrepreneurial potential of universities and evaluating their activities in the field of student entrepreneurship development.

Keywords: activities of universities to develop student entrepreneurship, entrepreneurial education, national research universities, student entrepreneurship, student projects, student startups

References:

1. Creating Entrepreneurial Universities: Organizational Pathways of Transformation. Front Cover. Burton R. Clark. IAU Press, 1998. Business & Economics. 163 p.
2. Goncharova N.A., Kudryavcev A.S. Technology Transfer Center as a Factor in the Development of Innovations in Universities. Nauka v innovacionnom processe: Materialy mezhdunarodnoj nauchno-prakticheskoj konferencii, Moskva, 01–02 dekabrya 2021 goda. Moskva: Federal'noe gosudarstvennoe byudzhetnoe uchrezhdenie nauki Institut problem razvitiya nauki Rossijskoj akademii nauk, 2021. pp. 161–164 (In Russ.).
3. Gulevich D.P., Prohorenko R.M. Problems of Creating Technology Transfer in Universities. Aktual'nye problemy aviacii i kosmonavtiki: sbornik materialov VIII Mezhdunarodnoj nauchno-prakticheskoj konferencii, posvyashchennoj Dnyu kosmonavtiki: v 3 t., Krasnoyarsk, 11–15 aprelya 2022 goda. Volume 2. Krasnoyarsk: Federal'noe gosudarstvennoe byudzhetnoe obrazovatel'noe uchrezhdenie vysshego obrazovaniya «Sibirskij gosudarstvennyj universitet nauki i tekhnologij imeni akademika M.F. Reshetneva», 2022. pp. 901–903 (In Russ.).
4. Postnikov V.P. Development of Technology Transfer Centers as an Element of the Innovation Ecosystem. Shumpeterovskie chteniya. 2022. Vol. 1. pp. 297–302 (In Russ.).
5. Zinov V.G., Fedorov I.S. Transfer of Technologies from the Academic to the Real Sector of the Economy: Barriers and Possible Solutions. Ekonomika nauki.  2022. Vol. 8. No. 3–4. pp. 156–173 (In Russ.).
6. Filippov G.A., Repina A.V. Transfer of Educational Technologies: a Modern Perspective on Entrepreneurial Activities of Universities. Russian Economic Bulletin. 2022. Vol. 5. No . 2. pp. 100–108 (In Russ.).
7. Morozova A.V. University Business Incubator as an Integral Part of the Modern University Innovation Ecosystem: Essence, Role and Tasks. Ekonomicheskie nauki. 2021. No. 197. pp. 30–34. (In Russ.).
8. Zinov V.G., Kurakova N.G. University Startup Studios as a New Model for Technology Transfer. EKO. 2022. No. 4 (574). pp. 57–80. (In Russ.).
9. Starchenkova O.D., Velichenkova D.S. Problems of Development of Regional Student Business Incubators. Fundamental'nye i prikladnye issledovaniya v oblasti upravleniya, ekonomiki i torgovli: sbornik trudov vserossijskoj nauchno-prakticheskoj i uchebno-metodicheskoj konferencii, Sankt-Peterburg, 30 maya – 02 iyunya 2022 goda. Volume 1. – Sankt-Peterburg: Federal'noe gosudarstvennoe avtonomnoe obrazovatel'noe uchrezhdenie vysshego obrazovaniya «Sankt-Peterburgskij politekhnicheskij universitet Petra Velikogo». 2022. pp. 167–171. (In Russ.).
10. Umarov I.A., Rabcevich A.A. Conceptual Approaches to Building an Innovative Infrastructure in the Format of a Technology Park. Ekonomika i upravlenie: nauchno-prakticheskij zhurnal. 2021. No. 5 (161). pp. 91–98. (In Russ.).
11. Terpugov A.E. Business Incubators as a Necessary Condition for the Development of Entrepreneurship in Universities. Vestnik MGPU. Seriya: Ekonomika. 2021. No. 2 (28). pp. 41–50. (In Russ.).
12. Grishin K.E., Bogatyreva M.R. On Some Aspects of Students' Attitude to Entrepreneurial Activity. Ekonomika i upravlenie: nauchno-prakticheskij zhurnal. 2022. No. 5 (167). pp. 78–83. (In Russ.).
13. Shpengler A.V., Bobov R.A. Identification of Entrepreneurial Activity and Competence Among Students. Aktual'nye voprosy sovremennoj ekonomiki. 2022. No. 7. pp. 366–370. (In Russ.).
14. Sviridov K.A. Entrepreneurial Activity of Students as a Phenomenon of Social Self-Realization. Region glazami studentov: Mezhvuzovskij sbornik nauchnyh rabot studentov / Saratovskij gosudarstvennyj universitet imeni N.G. CHernyshevskogo. Volume 21. Saratov: Izdatel'stvo «Saratovskij istochnik», 2021. pp. 99–102. (In Russ.).
15. Suslova A.V., Sergeeva A.V. Student Interest in Entrepreneurship: Survey Results. Izvestiya Bajkal'skogo gosudarstvennogo universiteta. 2021. V. 31. No. 1. pp. 117–124. (In Russ.).
16. Volkova A.S., Kudaeva M.M. Motivation of Youth Entrepreneurship and Stimulation of Its Formation. Ekonomika truda. 2021. Vol. 8. No. 11. pp. 1331–1342. (In Russ.).
17. Kapyrin P.A. The Work of the University Technopark on the Example of the Project of the Moscow State University of Food Production. Vestnik Moskovskogo finansovo-yuridicheskogo universiteta MFYUA. 2021. No. 2. pp. 140–150. (In Russ.).
18. Fominyh N.Yu., Abbasova L.I., Bubenchikova A.V. Mass Open Online Course for Masters «Start Your Startup». Sovremennoe pedagogicheskoe obrazovanie. 2022. No. 9. pp. 101–106. (In Russ.).
19. Panychev A.Yu., Pokrovskaya O.D., Drozdova M.A. Creation and Development of the School of Engineering  Entrepreneurship: the Experience of a
Branch University. Byulleten' rezul'tatov nauchnyh issledovanij. 2022. No. 2. pp. 7–33. (In Russ.).
20. Ranking of the Best Universities in Russia 2022. Forbes. Available at: https://education.forbes.ru/authors/rating-vuzov-2022 (In Russ.).
21. Interfax Presented the Rating of the Best Educational Programs on Entrepreneurship of Russian Universities // Interfax. Available at: https://academia.interfax.ru/ru/news/articles/6430/ (In Russ.).
22. Stazharova D.M., Budrina E.V. Dynamics of Development of Student Startups Based on the Innovative Infrastructure of the University. Nauchnyj zhurnal NIU ITMO. Seriya: Ekonomika i ekologicheskij menedzhment. 2022. No. 3. pp. 3–12. (In Russ.).
23. Koroleva D.O., Naushirvanov T.O. Ecosystem for the Development of Innovations in Russian Education: Infrastructural Characteristics. Nacional'nyj issledovatel'skij universitet «Vysshaya shkola ekonomiki», Institut obrazovaniya. Moscow, NIU VSHE, 2020. 32 p. (In Russ.).
24. HSE Business Incubator. Website of the HSE Business Incubator. Available at: https://inc.hse.ru/ (In Russ.).
25. Phystech. Start business accelerator holds Demo day of its projects. MIPT website. Available at: https://mipt.ru/events/biznes-akselerator_-fiztekh-start-_provodit_demo_day_svoikh_proektov (In Russ.).
26. MSU Business Incubator. Website of MSU Business Incubator. Available at: http://www.inmsu.ru/ru/ (In Russ.).
27. ITMO Technopark. ITMO Technopark website. Available at: https://technopark.itmo.ru/ (In Russ.).

28. Interuniversity Business Incubator «Druzhba» TUSUR. Website of the Interuniversity business incubator «Druzhba» TUSUR. Available at: https://sbi.tusur.ru/ (In Russ.).

Abstract

The article considers the problem of assignment the optimal numerical criterion for assessment the stability and security of the economics, which allows to analyze the state of the economics and make decisions on its regulation. It is proposed to use the value of economics uncertainty as such criterion. The uncertainty is calculated as the entropy of the main stock indexes. The authors had calculated the entropy of the main stock indices over a ten-year time interval, performed a comparative analysis of the obtained results with historical data of the known economic policy uncertainty index, explained the choice of the entropy value as an uncertainty indicator for the economics.

Keywords: economics, entropy, estimation, index, regulation, uncertainty

References:

1. Rossi В. Apesteguia J. Essays on Economic Uncertainty. – Universitat Pompeu Fabra, Departament d’Economia i Empresa, 2018 [Электронный ресурс]. – Режим доступа: https://www.tdx.cat/bitstream/handle/10803/664416/tms.pdf?sequence=1
2. Kuzmin. E. A. The Phenomenon of Uncertainty in Economic Theories and Concepts. Vistnik NGYEY.  2014. No. 2. pp. 18–36. (In Russ.).
3. Shumpeter Y. A. Theory of Economic Development. Capitalism, socialism and democracy. M.: Eksmo. 2008. 864 p. (In Russ.).
4. Mun T. England’s Benefit and Advantage by Foreign Trade, Plainly Demonstrated. HardPress. 2018. 28 p.
5. Kene F., Rober A., Tyurgo Zh., de Nemur P.S.D. Physiocrats. Selected Economic Works. M.: Eksmo. 2008. 1200 p. (In Russ.).
6. Marks K. Capital. Criticism of Political Economy. Vol. 1. M.: Eksmo. 2021. 1200 p. (In Russ.).
7. Marshall A. Principles of Economics. Prome-theus. 1997. 320 c.
8. Bohm-Bawerk E. Capital and Interest. Libertarian Press. 1959. 1202 p.
9. Keynes J. M. General Theory of Employment, Interest and Money. Stellar Classics. 2016. 168 p.
10. Galbraith J. K. The Affluent Society. Houghton Mifflin Harcourt. 1998. 288 p.
11. Friedman M., Friedman R. Free to Choose: a Per-sonal Statement. A Harvest Book: Harcourt Inc. 1990. 338 p.
12. Moore A. Measuring Economic Uncertainty and Its Effects. Available at: https://www.rba.gov. au/publications/rdp/2016/pdf/r dp2016-01.pdf
13. Bloom N. Fluctuations in Uncertainty. Journal of Economic Perspectives. 2014. No. 28 (2). pp. 153–176. DOI: 10.3386/w19714.
14. Köhn J. Uncertainty in Economics: A New Ap-proach. Springer International Publishing. 2017. 199 p. DOI 10.1007/978-3-319-55351-1.
15. Moran M.T., Liu B. The VIX Index and Volatility-Based Global Indexes and Trading Instruments - A Guide to Investment and Trading Features. CFA Institute Research Foundation Briefs. 2020. 32 p.
16. Economic Policy Uncertainty Index. Economic Policy Uncertainty. Available at: https://www.policyuncertainty.com/index.html
17. Datta D., Londono J. M. Taxonomy of Global Risk, Uncertainty, and Volatility Measures. International Finance Discussion Papers. 2017. Vol. 1216. DOI: 10.17016/IFDP.2017.1216.
18. Baker S. R., Baksy A., Bloom N., Davis S. J., Rodden J. A. Elections, Political Polarization, and Economic Uncertainty. NBER Working Paper Series. 2020. No. 27961. 26 p.
19. Shen Ya., Ma T., Chzhan S. Economic Policy Uncertainty Index and China Stock Market Volatility as Applied to Russia. Innovacii i investicii. 2019. No. 9. pp. 99–104. (In Russ.).
20. Georgescu-Roegen, N. The Entropy Law and the Economic Process. Harvard University Press: Cambridge, MA, USA. 1971. 457 p.
21. Jakimowicz A. The Role of Entropy in the Devel-opment of Economics. Entropy. 2020. № 22 (4).  DOI: 10.3390/e22040452.
22. Bryant J. Entropy Man. VOCAT International Ltd.: Harpenden, UK. 2015. 222 p.
23. Korolev O. L., Kussy M. Yu., Sigal A. V. Application of Entropy in Decision Making Process Modeling in Economics. Simferopol, Izdatel'stvo «ODZHAK». 2013. 148 p. (In Russ.).
24. Zhou R., Cai R., Tong G. Application of Entropy in Finance: A Review. Entropy. 2013. No. 15 (11). pp. 4909–4931. (In Eng.). DOI: 10.3390/e15114909.
25. Dranev U. Y., Ananev N. S. Effect of Changes in Stock Market Indicators on Raising Funds in Russian Equity Mutual Funds. Korporativnie finansi. 2010. No. 2. pp. 5–15. (In Russ.).
26. FINAM Group. Official site. Available at: https://www.finam.ru/ (In Russ.).
27. Yahoo! Finance. Information Internet-portal. Available at: https://finance.yahoo.com/calendar/
28. Economic Policy Uncertainty. Information Internet-portal. Available at: https://www.policyuncertainty.com

29. Bhandari S., Bergmann N., Jurdak R., Kusy B. Time Series Analysis for Spatial Node Selection in Environment  Monitoring  Sensor. Sensors. 2018. No. 18 (1). DOI: 10.3390/s18010011.

Abstract

The article proposes and justifies an algorithm for dividing a project into batches, which allows you to choose the optimal path for its implementation, without resorting to detailed planning of the entire scope of work, based on local data on the state of the project and the nearest milestone. Categories of projects for which the viability of a flexible approach to planning can be justified when the focus of project management is aimed at short-term goals are identified. For this purpose, a classification of projects into composite and indivisible, as well as into projects with and without memory is proposed. An example of the work of the developed algorithm for dividing a project into batches is considered, on the basis of which it is concluded that the algorithm complies with the best industry practices. The main directions for further research are listed.

Keywords: composite project, flexible technologies, mixed project, project management, project splitting algorithm

References:

1. Ciric D., Gracanin D. Agile Project Management Beyond Software Industry. Proceedings of XVII International Scientific Conference on Industrial Systems. (IS'17). Novi Sad. Serbia. 2017. pp. 332–337.
2. Duncan W. R. A Guide to the Project Management Body of Knowledge (PMBOK). Project Management Institute, Inc. 2013. 589 p.
3. Goldratt E. M., Cox J. The Goal: A Process of Ongoing Improvement. North River Press. 1992. 274 p.
4. Hillson D., Simon P. Practical Project Risk Man-agement: The ATOM Methodology. Berrett-Koehler Publishers. 2020. 384 c.
5. Institute P. M. The Lean-Agile PMO: Using Lean Principles to Continuously Improve Project Management Processes. Project Management Institute. 2017.
6. Kerzner H. Project Management: a Systems Ap-proach to Planning, Scheduling, and Controlling. John Wiley & Sons. 2013. 1296 p.
7. Sutherland J. Scrum: The Art of Doing Twice the Work in Half the Time. Crown Business., 2014. 256 p.
8. Agile Manifesto for Software Development. Available at: https://agilemanifesto.org/iso/ru/manifesto.html (In Russ.).
9. The 202 Scrum Guide. Scrum Guides. Available at: https://scrumguides.org/scrum-guide.html
10. Kuznetsov P. E., Larin M. E., Shikov A. N. Managing the Interaction of Project Teams in the Development of Financial Systems. Collection of articles of the XX International Scientific and Practical Conference «Modern Science: Current Issues, Achievements and  Innovations» (Penza,  June 25,  2021).  2021. pp. 36–38. (In Russ.).

Abstract

The rapid development of technologies in the field of artificial intelligence and the emergence of new neural network architectures has an impact on companies associated with the stock market. Various neural networks can predict the trend and values of stock quotes with high accuracy. The ability to correctly select the necessary neural networks and their parameters becomes an important competitive advantage for companies operating in the stock market. The study reflects the effectiveness of using bidirectional LSTM neural networks with an additional attention mechanism, and also tested different numbers of previous days taken into account when predicting future values.

Keywords: bilstm, neural networks, stock forecasting, quotes

References:

1. Jilin Z., Lishi Y., Yongzeng L. Stock Price Prediction Using CNN-BiLSTM-Attention Model. Mathematics. 2023. No. 11 (9). pp. 1–18.
2. Yu C., Ruixin F., Ting L. Stock Price Forecast Based on CNN-BiLSTM-ECA model. Hindawi. Scientific programming. 2021. No. 5. pp. 1–20. DOI: 10.1155/2021/2446543.
3. Hatta D., Abida R. Stock Prediction Based on Twitter Sentiment Extraction Using BiLSTM-Attention. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 2022. No. 1. рp. 187–198.
4. Maji G., Sen S. Stock Price Prediction Using LSTM on Indian Share Market. EPiC Series in Computing. 2019. No. 63. pp. 101–110.
5. Chatterjee I., Gwan J. An NLP and LSTM Based Stock Prediction and Recommender System for KOSDAQ and KOSPI. Intelligent Human Computer Interaction. 2021. pp. 403–413. DOI: 10.1007/978-3-030-68449-5_40.
6. Barua R., Sharma A. Dynamic Black Litterman Portfolios with Views Derived via CNN-BiLSTM Predictions. Finance Research Letters. 2022. No. 49. pp. 20–34.
DOI: 10.1016/j.frl.2022.103111.
7. Ming-Che L., Jia-Wei C. Applying Attention-Based BiLSTM and Technical Indicators in the Design and Performance Analysis of Stock Trading Strategies. Neural Computing and Applications. 2022. No. 34. pp. 13267–13279. DOI:10.1007/s00521-021-06828-4.
8. Official website NIO Inc. Available at: https://ir.nio.com