DOI: 10.33917/mic-3.116.2024.37-40

An analysis of methods for processing digital information and business analytics for civil aviation enterprises is presented using the example of “Data Science”.

References:

1. Gubanova A.V. Digital transformation as a tool for developing the competitiveness of industrial enterprises. Creative economy. 2020;6:17-18. (In Russ.).

2. Zhukovskaya I.V., Akaeva V.R., Kuzmin M.S. Current problems of digitalization of companies using the example of the industrial sector. Microeconomics. 2023;4:51-55. (In Russ.).

3. Ragimkhanov A.V. Systematization of scientific approaches to the study of competitiveness of services: from theory to practice. / A.V. Ragimkhanov, I.V. Zhukovskaya. Microeconomics. 2022;1:75-78. (In Russ.).

4. Official website of the Aeroflot company. URL: https://ir.aeroflot.ru/ru/company-overview/traffic-and-financial-highlights/

DOI: 10.33917/mic-3.116.2024.29-36

The article presents in chronological order the contents of the documents created in order to provide the Civil Air Fleet with the required fleet of aircraft, fulfill the condition for their effective use, and organize all the necessary logistical support for the operation of the Krasnoyarsk air route. Documents regulating the supply of food to children’s institutions are also being considered.

References:

1. The activities of the SVAG Department for the study of the achievements of German science and technology in the Soviet zone of occupation of Germany. 1945–1949: Collection of documents / Ed. and the author of the introductory article V.V. Zakharov. Comp.: V.V. Zakharov, O.V. Lavinskaya, D.N. Nokhotovich. M.: «Russian Political Encyclopedia» (ROSSPEN), 2007. 704 p.

2. We have come to Victory by a difficult road…. Moscow. 1941–1945: Archival documents and materials / Comp. V.A. Artsybashev, S.S. Voitikov, S.D. Garnyuk, D.G. Davidenko. – M., 2015. 716 p.: ill.

3. Shepelev V.N. Directive documents of the State Budget Committee on the creation of the Moscow defense zone from the funds of the Russian State Defense Fund. November–December 1941. Historical Archive. 2016;1:3–35.

4. Leadership of the country’s defense industry during the war years. – The Oboznik website. URL: http://www.oboznik.ru/?p=41877/#2

5. Pryamitsyn V.N. The activities of domestic state bodies for the development of military hydrometeorology (1876–1945). Appendices to the dissertation, 2019. 321 p.

6. 1945 / Article in the collection of articles. The State Defense Committee of the USSR. Regulations and activities. 1941–1945. Annotated catalog. in 2 volumes. Ser. «Proceedings of the Russian Academy of Sciences». Volume 2. Moscow: Publishing house «Political Encyclopedia», 2015. pp.986–1220.

7. And the production of peaceful explosives. Kommersant. History. 26.08.2023. The Kommersant website. URL: https://www.kommersant.ru/doc/6183690

DOI: 10.33917/mic-3.116.2024.15-28

The article examines image consulting in various sectors of the economy and areas of activity in modern socio-economic conditions. It is shown that the volume of the Russian management consulting market, according to various expert estimates, in 2021 amounted to about 50–60 billion rubles, by the end of 2022 it was reduced by almost half. One of the main problems of the Russian management consulting market at the end of 2023 is the loss of qualified personnel and the almost complete destruction of their reproduction system. The Russian management consulting market at the end of 2023 has undergone significant structural transformations: the names and number of key players, pricing policy and client priorities have changed.

The state and prospects for the development of various subjects of consulting services in Russia are analyzed using the example of three successful industry cases of image consulting from various industries and fields of activity: PJSC Sber-Bank, the cellular operator Beeline and the catering enterprise Zernyshko Coffee House. It was shown that the main problem for the considered organizations is the choice of an image consultant, and recommendations were given to solve this problem.

References:

1. Abramova P.V., Ishchenko I.G. Consulting as a tool to increase the investment attractiveness of franchising projects. In the collection: Current management issues. Edited by S.V. Taktarova, G.N. Tuguskina, 2020. pp. 26-30.

2. Akoff R. Planning the future of the corporation. Progress, 2018.

3. Aleshnikova V.I. Using the services of professional consultants, INFRA-M, 2020.

4. Aleshnikova V.I. New realities of the international and Russian management consulting market. In the book: Marketing and Infrastructure projects. Monograph. Moscow, 2023. pp. 190-199.

5. Alferova E.S. Management consulting in Russia. In the collection: Public and administrative management in Russia: history and modernity, digitalization, innovation, intelligence. A youth’s view, 2020. pp. 202-205.

6. Marinko G.I. Managerial consulting. INFA–M, 2021.

7. A joint project of the Russian Federation and the International Bank for Reconstruction and Development. Assistance in improving the level of financial literacy of the population and the development of financial education in the Russian Federation. Financial literacy and mass information: A reference guide. Moscow, 2017. 454 p.

8. Galina E.A. Consulting as a tool to increase the competitiveness of an enterprise. In the collection: Current management issues. Edited by S.V. Taktarova, G.N. Tuguskina, 2020. pp. 48-51.

9. Dolya N.G., Shulika E.N. Development of management consulting in Russia. Economics and society. 2016;5-1(24):587-589. (In Russ.).

10. Zaripova L.A. Management consulting as an objective necessity for the development of an organization. In the collection: Student science – agricultural production. Materials of the 81st student (regional) scientific conference. Kazan, 2023. pp. 200-209.

DOI: 10.33917/mic-2.115.2024.62-74

The organizational and economic aspects of customs examination of commodity group 0902 of the EAEU TN FEA in modern conditions are considered. Features of the classification of tea and products made from it (commodity group 0902 of the EAEU HS) include the possibility of classifying a drink with the trade name «tea» to other groups of the HS. It is shown that the main data for correctly determining the HS code of a drink with the trade name «tea» are the degree of fermentation, composition and type, weight of packaging and purpose of the product. It has been established that in order to effectively identify tea and reduce the risk of erroneous classification under the Commodity Nomenclature of Foreign Economic Activity, it is necessary to improve existing identification technologies and regulatory documents for tea classification. It is substantiated that organizational and economic measures taken by the state to support the tea industry bring appropriate results, but complete import substitution of a drink with the trade name «tea» is practically impossible. Only partial import substitution is acceptable – this is the active development of the Russian industry for the production of fireweed (angustifolia fireweed).

References:

1. Bezpalov V.V., Filatov V.V., Zharikov R.V., Karev M.V. Features of customs regulation of imports of food and processing industry goods imported into the territory of the Russian Federation. Applied economic research. 2023;1:8–18. (In Russ.).

2. Alekseeva E.V. Ivan-narrow-leaved tea, a forgotten miracle of nature. Problems of the environment and natural resources. 2020;7:163–167. (In Russ.).

3. Babkina N.A. Commodity science, expertise in customs and commodity nomenclature of foreign economic activity. Amur State University, Blagoveshchensk. 2017. 230 p. (In Russ.).

4. Bikbulatova E., Plotnikova N.A. «Koporsky» fermented tea from the leaves of willow-leaved tea and Canadian maple. In the collection: Ecology and nature management: applied aspects. VI International Scientific and Practical Conference. 2016. pp. 63–65. (In Russ.).

5. Vaitekhovich A.A. The conjuncture of the tea market on a global scale. In the collection: Organizational and legal support of the management mechanism in the field of agribusiness. 2019. pp. 159–161. (In Russ.).

6. Vorontsov P.A., Dzik L.R., Zemlyakova E.S. Studies of black tea of different brands and assessment of its quality. Bulletin of Youth Science. 2021;5 (32). (In Russ.).

7. Gamidullaev S.N., Nikolaeva S.L., Zakharenko T.A., Simonova V.N. Commodity science and expertise in customs. St. Petersburg: Troitsky Bridge, 2010. 400 p. (In Russ.).

8. Dengina Yu.V., Tyulkina A.A., Darovskikh L.V. Research of some indicators of tea quality from different manufacturers. In the collection: Biodiagnostics of the state of natural and man-made systems. Materials of the XIV All-Russian scientific and Practical conference with international participation. 2016. pp. 375–378. (In Russ.).

DOI: 10.33917/mic-2.115.2024.51-61

The problem of modernization of production systems in Russia is currently manifested in an acutely pronounced form. Their basis in most companies is the concept of mass production, which does not fully meet modern requirements, and therefore does not bring the expected effect. The introduction of new systems requires extraordinary efforts on the part of both management and staff. One of the most effective methods implemented in the practice of business entities today is lean manufacturing. Let’s consider its tools and methods as a means of increasing the efficiency of the enterprise.

References:

1. GOST R 56020-2020. The national standard of the Russian Federation: Lean manufacturing. Basic provisions and dictionary (approved and put into effect by Rosstandart Order No. 513-st dated 08/19/2020). URL: https://ivo.garant.ru

2. Order of the Ministry of Industry and Trade of the Russian Federation No. 1907 dated 06/20/2017 «On Approval of Recommendations on the Application of Lean Manufacturing Principles in various industries». URL: https://ivo.garant.ru

3. Passport of the National project «Labor Productivity» [Electronic resource]. Website of the Ministry of Economic Development of the Russian Federation. Access mode: https://www.economy.gov.ru /material/directions/nacionalnyy_proekt_proizvoditelnost_truda/

4. Battalov A.M. Stages of the formation of the concept of «Lean production». Innovative science. 2022;(5-1):27-32. (In Russ.).

5. Lean manufacturing: implementation without resistance [Electronic resource]. Financial Expert portal. Access mode: http://www.Finexpert.Ru/view/  

6. Lean manufacturing: how to get rid of losses and achieve prosperity for your company. James Wumek, Daniel Jones; translated from English – 5th ed. Moscow: Alpina Business Books, 2022. 472 p.

7. Vikhansky O.S. How popular is lean manufacturing in Russia. Expert-Ural. 2019;7 (270). (In Russ.).

8. Hobbs D.P. Introduction of lean manufacturing. A practical guide to business optimization. Minsk: Grevtsov Pavlisher, 2007. 352 p.

 9. Vader M. Lean manufacturing tools: A mini-guide to the implementation of lean manufacturing techniques. Michael Vader; translated from English. M.: Alpina Business Books, 2015. 125 p.

10. Golyakov S.M. Modern production systems of enterprises. Collection of scientific articles problems of interaction of economic entities of the real sector of the Russian economy: financial, economic, socio-political, legal and humanitarian aspects. St. Petersburg: Institute of Business and Law, 2014. 125 p.

 11. Smirnykh R.V. Corporate project management system as an instrument of the concept of «lean production» in project management. Young scientist. 2020;52(342):356-360. URL: https://moluch.ru/archive/342/76926/

12. Tikhonina A.S. Problems in the implementation of lean production tools. XIV International School – Conference of Young Scientists, Tomsk: STT Publishing House, 2018. pp. 274-276. URL: https://core.ac.uk/download/pdf/287420142.pdf

DOI: 10.33917/mic-2.115.2024.35-50

The issues of the correct application of mathematical statistics in the processing of marketing research results, taking into account the type of data obtained, are considered. The parameters of the configuration of images of market objects (goods/ trademarks/ firms) in the space of image-forming factors of interval type, characterizing the location, formedness and differentiation of images, are discussed. Examples of the analysis of images of market objects in the space of interval type factors (both initial and quantified) are given. Possible conclusions about the configuration of images are considered, practical recommendations on the selection of target segments and determining the optimal position for a product / brand/ company are discussed.

References:

1. Zakuskin S.V. Type data consideration in market objects analysis. Part 1. Building images based on factors of non-numeric types. Microeconomics. 2023;5:23–38 (In Russ.).

2. Zakuskin S.V. Type data consideration in market objects analysis. Part 2. Building images based on factors of numeric types. Microeconomics. 2023;6: 29–47. (In Russ.).

3. Zakuskin S.V. Type data consideration in market objects analysis. Part 3. Analysis of images and positions by factors of non-numeric types. Microeconomics. 2024;1:35–54. (In Russ.).

4. Zakuskin S.V. Analysis of consumer ideals in the image-forming space:  building perfect images. Microeconomics. 2021;3:22–31. (In Russ.).

5. Zakuskin S.V. Analysis of market images formedness. Creative Economics. 2020;6:1115-1136. (In Russ.).

6. Zakuskin S.V. Analysis of market images differentiation. Creative Economics. 2020;7:1447-1466. (In Russ.).

7. Zakuskin S.V. Integration of marketing communications based on the analysis of consumer preferences. Russian entrepreneurship. 2018;19(6):1913-1937. (In Russ.).

DOI: 10.33917/mic-2.115.2024.23-34

Optimization of an inventory is an important element of strategic planning of an industrial enterprise, the objectives of which are to ensure the required volume of production of finished goods, achieve minimum inventory storage costs and eliminate excessive investments of financial resources. The article describes the main approaches to inventory management, assesses their advantages and disadvantages. Using the company for the production of electrical equipment as an example, the algorithm for the quantitative allocation of the «problematic» demands in the inventory structure is proposed, this demand reduces risks from the external environment, but requires additional investments. The calculation of the parameters of the demand was performed using the resources of the ERP system and the inventory structuring model, thereby the «problem field» in the context of each inventory item has been determined for further optimization measures implementation.

References:

1. Russian Statistical Yearbook: Stat. sat. / State Com. Ros. Federation of Statistics (Goskomstat of Russia). Stat.sat./Rosstat, 2023. 701 p.

2. Babaeva E.S. Information technologies in the management of «pushing» type productions. Bulletin of the Volga State University. 2011;17:53–57. (In Russ.).

3. Bauersox D.J., Kloss D.J. Logistics integrated supply chain. Moscow: Olymp-Business CJSC, 2001. 640 p.

4. Bekmurzayeva R.H. Risks associated with interaction with suppliers and contractors / R. H. Bekmurzayeva, L. H. Dzhandarova. Business bulletin of the entrepreneur. 2021;5(3):29–31. (In Russ.).

5. Bukan J., Koenigsberg E. Scientific management of reserves. M.: Nauka, 1967. 423 p.

6.  Gavrilov D.A. Production management based on MRP II [inform., resource planning, positioning strategies, cost calculation]. – 2nd ed. Peter, 2005. 416 p.

7.  Zemlyanskaya V.N. The classical method of ABC analysis and its modern modification. Eurasian Union of Scientists. 2017; 9–2(42):76–81. (In Russ.).

8. Izmalkova I.V. Digitalization of accounting processes in the context of economic development in modern conditions: problems and impact on business processes / I. V. Izmalkova, G. I. Polennikova, L. Y. Tatarenko. Bulletin of the Altai Academy of Economics and Law. 2023;6–1:47–54. (In Russ.).

9. Konyukhovsky P.V. Mathematical methods of research of operations in economics. St. Petersburg: Publishing house «Peter», 2000. 208 p.

10. Mironova G.V. Concepts, strategies and models of inventory management / G.V. Mironova, A.V. Shelygov. Bulletin of the Moscow State Unitary Enterprise named after Ivan Fedorov. 2011;2:230–239. (In Russ.).

11. Nikiforova E.V. Management of material reserves in conditions of multi-nomenclature production / E. V. Nikiforova, S. A. Kalinovsky. Vector of Science of Tolyatti State University. 2011;4(18):211–216. (In Russ.).

12. Tyukhtina A.A. Models of inventory management: An educational and methodological guide.  Nizhny Novgorod: Nizhny Novgorod State University, 2017. 84 p.

DOI: 10.33917/mic-1.114.2024.68-74

The scientific article graphically displays the economic essence of the method of forecast scenarios in assessing the development of competitiveness of tourism services. Target (tactical) development blocks and target development scenarios based on the theory of even subsets have been identified. A matrix of alternative strategies and corresponding tourism growth scenarios at the meso-economic level have been developed: optimistic; pessimistic (risk assessment) and optimal scenario.

References:

1. Galiullin I.R. Innovative competitive advantages of service sector enterprises: macro, meso-level research. I.R. Microeconomics. 2017;6:68-73. (In Russ.).

2. Zhukovskaya I.V. Systematization of scientific approaches to managing competitiveness in the service sector: economic essence, criteria. Microeconomics. 2020;2:29-37. (In Russ.).

3. Leonov E.F. Increasing the competitiveness of small and medium-sized service enterprises based on the formation of institutional space: dis. Ph.D. econ. Sciences: 08.00.05. Leonov Egor Fedorovich. St. Petersburg, 2017. 206 p. (In Russ.).

4. Fatkhutdinov R.A. Managing the competitiveness of an organization. M.: EKSMO, 2005. pp. 542-543. (In Russ.).

5. Khusaenov R.R. Development of Innovative Infrastructure Services in The Conditions of Discreteness of Its Components. International Journal of Advanced Research in Engineering and Technology. 2020;11(3):276-291.

DOI: 10.33917/mic-1.114.2024.55-67

This article examines the sectoral aspects of pricing, segmentation and competition in the Russian market of digital VoD services in modern socio-economic conditions. Various pricing models (video monetization) are considered in order to create a successful video business based on loyal viewers based on three main formats: SVoD, TVoD and AVoD. It is shown that the Russian streaming platform market has been gaining popularity in recent years and grew by 44% in 2023 compared to 2022 year.

The Russian online platforms that produce or plan to produce their own video content and those who have not yet started filming, but have expressed a desire to produce their own content, are analyzed. The partnerships of online cinemas with ecosystems, telecom operators and other service companies are considered.

It is shown that over the past year and a half, Russia has demonstrated a serious breakthrough in creating an alternative to the most popular Western video hosting.  Rutube has already begun to support a load of 50 million people and has successfully survived a number of digital platform upgrades.

References:

1. Antonova V.G., Eliseeva Yu.A. OTT video services market in Russia: current state and development prospects. St. Petersburg Economic Journal. 2022;1-2:61-66. (In Russ.).

2. Asadullina A.V., Novikova M.Yu. Features of the development of digital streaming services in the world. In the book: Sixth International Conference “Business Management in the Digital Economy”. Collection of abstracts of speeches. Under the general editorship of I.A. Arenkova and M.K. Tsenzharik. St. Petersburg, 2023. pp. 112-118. (In Russ.).

3. Belousov G.D. Managing movie streaming platforms during the coronavirus period. Innovation and investment. 2020;10:141-145. (In Russ.).

4. Vatolkina N.Sh., Smirnova K.V. Comparative analysis of consumer value propositions in the OTT services market. Technical and technological problems of the service. 2020;2(52):89-94. (In Russ.).

5. Voloshkina D.S. Streaming services: essence and specifics. In the collection: Journalism, mass communications and media: the view of young researchers. Belgorod, 2021. pp. 79-83. (In Russ.).

6. Dubiv M.V. Television viewing in the context of digitalization of the media landscape. In the collection: Week of Science and Creativity – 2020. Materials of the International Scientific and Practical Forum of Students, Postgraduate Students and Young Scientists. St. Petersburg, 2020. pp. 100-104. (In Russ.).

7. Efimov I.P., Efimov P.P., Ryndina S.V. Business processes for managing digital platforms for viewing video content. Bulletin of Penza State University. 2022;1(37):61-66. (In Russ.).

8. Ivanova N.I., Kranina Z.V. Russian market of online video services: current state and prospects. Innovation. The science. Education. 2021;37:230-235. (In Russ.).

9. Krivoshapkina Ya.V. Trends in the development of advertising media. In the collection: Modern trends and problems of science in the development of digital and innovative technologies. Krasnodar, 2023. pp. 252-258. (In Russ.).

DOI: 10.33917/mic-1.114.2024.35-54

The issues of the correct application of mathematical statistics in the processing of marketing research results, taking into account the type of data obtained, are considered. The parameters of the configuration of images of market objects (goods/ trademarks/ firms) in the space of image-forming factors of nominal and ordinal type, characterizing the location, formedness and differentiation of images, are discussed. Examples of the analysis of images of market objects in the space of nominal and ordinal type factors (both initial and quantified) are given. Possible conclusions about the configuration of images are considered, practical recommendations on the selection of target segments and determining the optimal position for a product / brand/ company are discussed.

References:

1. Zakuskin S.V. Type data consideration in market objects analysis. Part 1. Building images based on factors of non-numeric types. Microeconomics. 2023;5:23-38 (In Russ.).

2. Zakuskin S.V. Integration of marketing communications based on the analysis of consumer preferences. Russian entrepreneurship. 2018;19(6):1913-1937 (In Russ.).

3. Zakuskin S.V. Analysis of consumer ideals in the image-forming space:  building perfect images. Microeconomics. 2021;3:22-31 (In Russ.).

4. Zakuskin S.V.  Analysis of market images formedness. Creative Economics. 2020;6:1115-1136 (In Russ.).

5. Zakuskin S.V. Analysis of market images differentiation. Creative Economics. 2020;7:1447-1466 (In Russ.).

6. Zakuskin S.V. Nontrivial results of descriptive statistics in marketing research. Russian entrepreneurship. 2018;19(12):4041-4064 (In Russ.).

7. Zakuskin S.V. Evaluation of the relative and absolute attractiveness of target group segments. Marketing and marketing research. 2020;2:92-102 (In Russ.).