MARKETING THEORY AND METHODOLOGY
Consumer value as the basis for developing a marketing business model
Komarnitskaya E.V., Candidate of economic sciences, Associate Professor of the Department of Management Federal State Educational Institution of Higher Education «Donetsk State University», e-mail: alenakomarnitskaja@yandex.ru
SPIN-code: 4395-2956; Author ID: 257576; ORCID ID: 0000-0003-1787-8234
In this article, the author considers consumer value as the basis of modern entrepreneurial activity. The creation of consumer value is reflected in modern scientific approaches: concepts of value creation, ecosystems and business models, which made it possible to develop a notation of consumer value in modern conditions.
Keywords: marketing, business model, consumers, value, ecosystem.
Sources
1. Porter M. Konkurentnoe preimushchestvo: kak dostich vysokogo rezultata i obespechit ego ustoichivost. – M.: Alpina Biznes Buks, 2005.
2. Maslennikov V.V. Metodologiia tsepochek sozdaniia tsennosti v usloviiakh tsifrovoi transformatsii organizatsii / V.V. Maslennikov, N.D. Voronin // Ekonomika: vchera, segodnia, zavtra. – 2023. – T. 13. – ¹ 6-1. – S. 738–749. – DOI: 10.34670/AR.2023.27.14.091
3. Naumov M.S. Tsepochka sozdaniia tsennosti v prizme strategicheskogo planirovaniia / M.S. Naumov, Ia.V. Sokolova // Ekonomicheskii vektor. – 2019. – ¹ 3 (18). – S. 33–40. – DOI: 10.36807/2411-7269-3-18-33-40
4. Iuldasheva O.U. Issledovanie globalnykh tsepochek tsennosti kak osnova dlia postroeniia effektivnykh biznes-modelei / O.U. Iuldasheva, I.N. Trefilova // Korporativnoe upravlenie i innovatsionnoe razvitie ekonomiki Severa: Vestnik Nauch.-issled. tsentra korporativnogo prava, upravleniia i venchurnogo investirovaniia Syktyvk. gos. un-ta. – 2016. – ¹ 2. – S. 131–148.
5. Ramenskaia L.A. Primenenie kontseptsii ekosistem v ekonomiko-upravlencheskikh issledovaniiakh / L.A. Ramenskaia // Upravlenets. – 2020. – T. 11. – ¹ 4. – S. 16–28. – DOI: 10.29141/2218-5003-2020-11-4-2
6. Statsenko V.V. Ekosistemnyi podkhod v postroenii sovremennykh biznes-modelei / V.V. Statsenko, I.I. Bychkova // Industrialnaia ekonomika. – 2021. – ¹ 1. – S. 45–61. – DOI: 10.47576/2712-7559_2021_1_45
7. Goncharova I.V. Sozdanie tsennosti dlia potrebitelei i biznesa v usloviiakh razvitiia ekosistem / I.V. Goncharova // Sovremennaia ekonomika: problemy i resheniia. – 2024. – ¹ 1 (169). – S. 71–81. – DOI: 10.17308/meps/2078-9017/2024/1/71-81
8. Orekhova S.V. K voprosu o fenomene biznes-modeli / S.V. Orekhova, Iu.S. Bausova //Sovremennaia konkurentsiia. – 2020. – T. 14. – ¹ 1 (77). – S. 58–75. – DOI: 10.37791/1993-7598-2020-14-1-58-75
9. Balabanova L.V. Kontseptualnye osnovy formirovaniia biznes-modeli treid-marketinga / L.V. Balabanova, A.N. Germanchuk // Vestnik Donets. nats. un-ta. Ser. V.: Ekonomika i pravo. – 2018. – ¹ 3. – S. 31–39.
10. Denisov I.V. Vliianie transformatsii sotsialno-ekonomicheskikh sistem na izmenenie osnov teorii menedzhmenta: perspektivnye biznes-modeli / I.V. Denisov // Ekonomika, predprinimatelstvo i pravo. – 2022. – T. 12. – ¹ 2. – S. 479–494. – DOI: 10.18334/epp.12.2.114243
11. Zott K. Biznes-model: poslednie razrabotki i budushchie issledovaniia / K. Zott, R. Amit, L. Massa // Zhurnal menedzhmenta. – 2011. – ¹ 37 (4). – S. 1019–1042. – DOI: 10.1177/0149206311406265
Methodology for studying the satisfaction of visitors to cultural and recreation parks
Korchagova L.A., Candidate of Economic Sciences, docent of the Marketing Department of Russian State University for the Humanities, e-mail: lakor@rggu.ru
SPIN-code: 5883-7435; Author ID: 352519
Mikhaleva K.A., main expert of CBI «Analytical Center», e-mail: mihalyova.cristina24@gmail.com
Currently, one of the determining factors in the development of any organization is customer satisfaction. The study of the satisfaction of visitors to parks of culture and recreation is a special case of studying consumer satisfaction. A variety of methods are used to assess the satisfaction of park visitors, including: population surveys, calculations of satisfaction and loyalty indices, statistical analysis, building perception maps, and others.
This article discusses the methodology for researching the satisfaction of visitors to parks of culture and recreation, as important objects engaged in cultural and leisure activities, and also presents the results of an analysis of the satisfaction of visitors to Gorky Park, which showed both positive aspects and allowed to identify existing problems in the activities of this park, affecting the satisfaction of its visitors. Such studies make it possible to further improve the quality of infrastructure and services in parks and contribute to increasing visitor satisfaction.
Keywords: visitor satisfaction, parks of culture and recreation, satisfaction research, research methods, satisfaction indicators.
Sources
1. Portnikov V.I. Formirovanie kultury semeinogo dosuga v usloviiakh parka kultury i otdykha / V.I. Portnikov, E.A. Repnikov // Nauka i tekhnologii: aktualnye voprosy, dostizheniia, innovatsii: sb. dokl. i mater. II Nats. nauch.-prakt. konf. – 2018. – S. 180–185.
2. Buinina V.E. «Park kultury i otdykha» – postsovetskoe nasledie i ego mesto v sovremennoi gorodskoi srede / V.E. Buinina, Iu.A. Nishchimnykh // Novye idei novogo veka: mater. Mezhdunar. nauch. konf. FAD TOGU. – 2020. – T. 1. – S. 64–67.
3. Ivanov V.V. Obieem i dinamika rynka tematicheskikh parkov v Rossii / V.V. Ivanov // Economics: Yesterday, Today and Tomorrow. – 2018. – ¹ 10A. – S. 100–108.
4. Panfilova A.V. Rol parkov kultury i otdykha v organizatsii dosuga gorodskogo naseleniia / A.V. Panfilova // Nauka i obrazovanie v kontekste kulturnykh traditsii: mater. nauch.-prakt. konf. – 2018. – S. 211–220.
5. Nikulicheva S.M. Osobennosti rekreatsionnoi zony parkov i skverov / S.M. Nikulicheva, N.E. Tavadian // Dizain i arkhitektura: sintez teorii i praktiki: sb. nauch. tr. – 2017. – S. 386–390.
6. Nikolaeva L.I. Transformatsiia prostranstva dlia sobytii / L.I. Nikolaeva, M.B. Kapeliush // Nauchnaia sessiia GUAP: sb. dokl. – 2017. – T 3. – S. 110–113.
7. Matveeva E.V. Dosug: k probleme poiska metodologii / E.V. Matveeva // Obshchestvennye nauki. – 2018. – ¹ 3–4. – S. 203–208.
8. Kotler.F. Marketing-Menedzhment. – 13-e iz-d. – SPb.: Piter, 2011. – 792 s.
9. Grushina T.P. Sravnitelnyi analiz turistsko-obrazovatelnogo potentsiala prirodnykh parkov goroda Moskvy / T.P. Grushina // Prirodnoe nasledie i raznoobrazie Moskvy kak chast istoriko-kulturnogo i urbanisticheskogo potentsiala megapolisa: sb. st. po mater. otkrytoi gor. nauch.-prakt. konf. – 2023. – S. 157–161.
10. Safronova N.B., Korneeva I.E. Marketingovye issledovaniia: ucheb. posobie dlia bakalavrov / N.B. Safronova, I.E. Korneeva. – 4-e izd., ster. – M.: Dashkov i K, 2022. – 292 s.
Development of research methods for measuring consumers' attachment to luxury brand
Sholomova A.V., Assistant professor, 3-d year student of doctoral program (postgraduate), Department of Marketing, Plekhanov Russian University of Economics, e-mail: a.sholomova@gmail.com
SPIN-code: 3030-8800; Author ID: 1185434; ORCID ID: 0000-0003-3845-1336
The article discusses key approaches to assessing consumer attachment to a brand, the motivations of consumers of luxury goods in the categories of traditional luxury (Authentic Luxury) and new luxury (New Luxury), and the peculiarities of consumer behavior of representatives of the growing HENRY segment. Examples of implementation of digital technologies by luxury companies at all stages of the purchase process are presented. The methodology of empirical research to assess the attachment of HENRY consumers to the luxury brand is developed, it considers the importance of the influence of the author's proposed motivation «di-elite effect» (continuum of snob effect), characteristic of HENRY in the digital economy, and the attributes of goods of the category of «new luxury».
Keywords: HENRY consumers, brand attachment, new luxury, consumers motivations, di-elite effect.
Sources
1. Thomson M., MacInnis D.J. and Park C.W. The ties that bind: Measuring the strength of consumers’ emotional attachments to brands // Journal of Consumer Psychology. – 2005. – No. 15 (1). – Pp. 77–91.
2. Keller K.L. Conceptualizing, Measuring, and Managing Customer-Based Brand Equity // Journal of Marketing. – 1993. – Vol. 57. – No. 1. – Pp. 1–22.
3. Ball A.D., Tasaki L.H. The Role and Measurement of Attachment in Consumer Behavior //Journal of Consumer Psychology. – 1992. – Vol. 1. – No. 2. – Pp. 155–172.
4. Park C.W., MacInnis D.J., Priester J., Eisingerich A.B. and Iacobucci D. Brand attachment and brand attitude strength: Conceptual and empirical differentiation of two critical brand equity drivers // Journal of Marketing. – 2010. – No. 74 (6). – Pp. 1–17.
5. Malär L., Krohmer H., Hoyer W.D. et al. Emotional Brand Attachment and Brand Personality: The Relative Importance of the Actual and the Ideal Self // Journal of Marketing. – 2011. – No. 75 (4). – Pp. 35–52. – DOI: 10.2307/41228607
6. Donvito Raffaele, Aiello Gaetano, Grazzini Laura, Godey Bruno, Pederzoli Daniele, Wiedmann Klaus Peter, Halliburton Chris, Chan Priscilla, Tsuchiya Junji, Skorobogatykh Irina I., Oh Hyunjoo, Singh Rahul, Ewing Mike, Lee Yuri, Fei Li, Chen Cindy Rong, Siu Noel Yee Man. Does personality congruence explain luxury brand attachment? The results of an international research study // Journal of Business Research. – 2020. – Vol. 120. – Pp. 462–472. – doi.org/10.1016/j.jbusres.2020.06.04
7. Chevalier M., Mazzalovo G. Luxury Brand Management in Digital and Sustainable Times 4th edition. – N.J.: Wiley, 2021. – P. 544.
8. Silverstein M.J. & Fiske N. Luxury for the masses // Harvard Business Review. – 2003. – No. 81 (4). – Pp. 48–59.
9. Danziger P.N. Putting the Luxe Back in Luxury: How New Consumer Values are Redefining the Way We Market Luxury. – Paramount Market Pub., 2011. – P. 256.
10. Skorobogatykh I.I., Sholomova A.V. Povyshenie konkurentosposobnosti kompa-
nii – proizvoditelei roskoshi posredstvom ispolzovaniia metavselennykh // Sovremennyi marketing: ekosistemnye podkhody, tsifrovizatsiia i perspektivy razvitiia. – M.: OOO «Rusains», 2023. – S. 115–129.
11. Bain and Company. Long Live Luxury: Converge to Expand through Turbulence [Elektronnyi resurs]. URL: bain.com/globalassets/noindex/2024/bain_report_long_live_luxury_converge_to_expand_through_turbulence.pdf (data obrashcheniia: 11.03.2024).
12. Leibenstain Kh. Effekt prisoedineniia k bolshinstvu, effekt snoba i effekt Veblena v teorii pokupatelskogo sprosa // Vekhi ekonomicheskoi mysli / sost. i obshch. red. V.M. Galperina. – SPb.: Ekonomicheskaia shkola, 1999. – S. 304–325.
13. Veblen T. Teoriia prazdnogo klassa. – M.: AST, 2021. – 384 s.
14. Vigneron F., Johnson L. A review and a conceptual framework of prestige-seeking consumer behavior // Academy of Marketing Science Review. – 1999. – No. 2 (1). – Pp. 1–15.
15. Say Hello to HENRY consumers. 2020 [Elektronnyi resurs]. URL: f.hubspotusercontent00.net/hubfs/2526007/2021%20SALES%20CONTENT/FusionHill_HENRYS_
TrendReport_021920.pdf (data obrashcheniia: 11.03.2024).
16. Ofitsialnyi sait iuvelirnogo doma Boucheron [Elektronnyi resurs]. URL:
boucheron.com/en/high-jewelry/collections-carte-blanche/nature-triomphante/ (data obrashcheniia: 11.03.2024).
17. Metav.rs. Top 5 Of Brands with The Most NFT Revenue In 2022. 2022 [Elektronnyi resurs]. URL: metav.rs/blog/5-brands-most-nft-revenue/( data obrashcheniia: 11.03.2024).
18. MIT Technology Review. Cartier and Tiffany are getting into AR to sell luxury to Gen Z [Elektronnyi resurs]. URL: technologyreview.com/2023/03/07/1069414/cartier-tiffany-ar-luxury-gen-z/ (data obrashcheniia: 11.03.2024).
19. Sholomova A.V. Evoliutsiia motivatsii potrebitelei: ot effekta snoba k effektu di-elite // Shestaia Mezhdunar. konf. «Upravlenie biznesom v tsifrovoi ekonomike»: sb. tez. vystuplenii. Sankt-Peterburg, 23–24 marta 2023 g. / pod obshch. red. I.A. Arenkova i M.K. Tsenzharik. – SPb.: S.-Peterb. gos. un-t prom. tekhnologii i dizaina, 2023. – S. 222–228.
20. Statista. Online personal luxury goods market – statistics & facts 2024 [Elektronnyi resurs]. URL: statista.com/topics/8247/online-personal-luxury-goods-market/#topicOverview (data obrashcheniia: 11.03.2024).
21. Bain and Company, Comité Colbert. LUXURY AND TECHNOLOGY. Toward the Boutique of the Future. 2023 Report [Elektronnyi resurs]. URL: bain.com/globalassets/noindex/2023/bain_report_luxury_and_technology_toward_the_boutique_of_the_future.pdf (data obrashcheniia: 11.03.2024).
22. McKinsey & Company. The consumer decision journey. 2009 [Elektronnyi resurs]. URL: mckinsey.com/capabilities/growth-marketing-and-sales/our-insights/the-consumer-decision-journey (data obrashcheniia: 11.03.2024).
MARKETING TOOLS
An application of attribution models for evaluating marketing performance
Mariashina A.S., 4th year full-time student of the Faculty of Economic and Social Sciences, Russian Academy of National Economy and Public Administration, Moscow, Russian Federation, e-mail: ans.maryashina@mail.ru
SPIN-code: 5357-3243; Author ID: 1241971
Olkova A.E., Associate Professor of the Department of Economics and Finance, Faculty of Economic and Social Sciences, PhD in Economics, Russian Academy of National Economy and Public Administration, Moscow, Russian Federation, e-mail: olkova-ae@ranepa.ru
SPIN-code: 7375-0455; Author ID: 789620
Piskulina A.S., 4th year full-time student of the Faculty of Economic and Social Sciences, Russian Academy of National Economy and Public Administration, Moscow, Russian Federation, e-mail: angelinapiskulina@gmail.com
SPIN-code: 5459-3575; Author ID: 1241292
This paper presents the results of a comparative analysis of data-based attribution models and a study of customer paths and digital marketing tools used in the company. For the analysis, the results of calculating the attributed value of channels using simplified models «Last Click», «First Click», heuristic linear model and Markov Chains algorithmic model are presented. Based on the analysis, suggestions for using a specific attribution model to evaluate the effectiveness of marketing are provided.
Keywords: attribution model, marketing analytics, digital marketing, Markov chains, performance evaluation.
Sources
1. Jayawardane C.H.W., Halgamuge S.K., Kayande U. (2015). Attributing Conversion Credit in an Online Environment: An Analysis and Classification. 2015 3rd International Symposium on Computational and Business Intelligence (ISCBI), Bali, Indonesia, pp. 68–73 [Elektronnyi resurs]. URL: doi.org/10.1109/ISCBI.2015.19
2. Anderl E., Becker I., Wangenheim F.V., Schumann J.H. (2014). Mapping the Customer Journey: A Graph-Based Framework for Online Attribution Modeling [Elektronnyi resurs]. URL: x.doi.org/10.2139/ssrn.2343077
3. Forrester Research, Inc. (2012). Digital Attribution Comes Of Age. The Last-Click Paradigm Erodes As Marketers Turn To Fractional Attribution [Elektronnyi resurs]. URL:
iab.com/wp-content/uploads/2015/08/DigitalAttributionComesOfAge.pdf
4. Rizvi S.M. (2019). Attribution modelling of online advertising. Master’s thesis, Tampere University [Elektronnyi resurs]. URL: trepo.tuni.fi/handle/10024/115941
5. Plas J. (2018). Evaluating attribution models on predictive accuracy, interpretability, and robustness, Master Thesis Data Science: Business and Governance, Tilburg University [Elektronnyi resurs]. URL: arno.uvt.nl/show.cgi?fid=147278
6. Anderl E., Becker I., Wangenheim F.V., Schumann J.H. (2016). Mapping the customer journey: Lessons learned from graph-based online attribution modeling. International Journal of Research in Marketing, vol. 33, no. 3, pp. 457–474 [Elektronnyi resurs]. URL: doi.org/10.1016/j.ijresmar.2016.03.001
7. Poutanen R. (2020). Analysis of online advertisement performance using Markov chains. Master’s thesis, Tampere University [Elektronnyi resurs]. URL: trepo.tuni.fi/bitstream/handle/10024/120452/PoutanenRiku.pdf
8. Wrodarczyk (2023). Markov Chain Attribution Modeling [Elektronnyi resurs]. URL:
adequate.digital/en/markov-chain-attribution-modeling-complete-guide/
MARKETING RESEARCH
Features of young people's consumer behavior in the fast fashion segment
Timokhovich A.N., PhD in Psychology, Associate Professor at the Advertising and PR Department of State University of Management, e-mail: 3178720@list.ru
SPIN-code: 4619-7868; Author ID: 450887; Scopus ID: 57212621828; Researcher ID: C-8154-2015; ORCID: 0000-0001-5326-5975
The article deals with the problems of consumer behavior of young people in the segment of fast fashion. Fast fashion is a social and marketing phenomenon with controversial significance in the context of its impact on society and the environment. The article presents the results of empirical research with quantitative and qualitative methods of primary data collection aimed at studying the consumer practices of young people in the fast fashion segment. The research was conducted in February 2024. It reveals young people's attitudes towards the phenomenon and fast fashion products; their involvement in the decision to buy fast fashion products. The ways and patterns of shopping for fast fashion products by young people are presented; the factors under the influence of which young people buy fast fashion products in offline and online environments are described. Conclusions are drawn based on the results of the study.
Êeywords: fast fashion, young people, consumer behavior, fashion industry products, conscious consumption, purchase decision making.
Sources
1. Tomas D. Fashionopolis. Tsena bystroi mody i budushchee odezhdy. – M.: Alpina, 2022. – 352 s.
2. Taler R. Novaia povedencheskaia ekonomika. – M.: Bombora, 2024. – 576 s.
3. Lauren B. How to Break up with Fast Fashion. A guilt-free guide to changing the way you shop for good. – L.: Headline, 2021. – 294 p.
4. Dolzhenko I.B. Deiatelnost TNK bystroi mody v usloviiakh meniaiushcheisia vneshnei sredy // Ekonomika i biznes: teoriia i praktika. – 2023. – ¹ 10-1 (104). – S. 128–132.
5. Hoffmann S., Akbar P. Consumer Behaviour. Understanding Consumers – Designing Marketing Activities. – Springer Wiesbaden, 2023. – 187 p.
6. Kotler Ph., Setiawan I., Kartajaya H. Marketing 5.0: Technology for Humanity. – N.J.: Wiley, 2021. – 224 p.
7. Blackwell R., Miniard P., Engel J. Consumer Behaviour. – UK: Cengage, 2017. – 943 p.
8. Sethna Z. Consumer Behaviour. – L.: SAGE Publications Ltd., 2023. – 616 p.
9. Burzhua E. Virtualnaia zhizn: moda, samovyrazhenie, identichnost v tsifrovoi srede // Teoriia mody: odezhda, telo, kultura. – 2022. – ¹ 1 (63). – S. 33–52.
10. Timokhovich A.N., Leliakova A.S., Filenko Ts.S. Vliianie industrii mody na okruzhaiushchuiu sredu: istoriia, teoriia, praktika. – M.: Rusains, 2023. – 132 s.
Analysis of viewing series’ features to promote visual content in Russia
Dolgopolov D.V., PhD in Economics, Associate Professor of Chair of Advertising and PR, State University of Management, Moscow, e-mail: dolgopolovguu@gmail.com
SPIN-code: 9298-9851; Author ID: 989072; Scopus Author ID: 57220954522; ORCID ID: 0000-0001-9179-0076
Markina V.S., Student of Chair of Advertising and PR, State University of Management, Moscow, e-mail: valeria.markina2000@yandex.ru
The article analyzes the features of watching TV series by Russian audiences on streaming services. As part of the quantitative and qualitative research, the main psychological and emotional characteristics that influence the promotion of Russian serial content on major Russian film streaming platforms have been identified. The article draws conclusions regarding the promotion of serial content in the Russian segment of film streaming services among youth audiences.
Keywords: video content, TV series promotion, streaming platforms, target audience, psychological characteristics of the audience.
Sources
1. ProfiSinema podvodit itogi desiatiletiia rossiiskoi kinematografii/ProfiCinema.30.12.2020 [Elektronnyi resurs]. URL: proficinema.com/questions-problems/articles/detail.php?ID=315607 (data obrashcheniia: 12.03.2024).
2. Prezentatsiia Digital Alliance/Digital Alliance. 2023 [Elektronnyi resurs]. URL:
alliance.digital/upload/uf/a44/rehxkk4d0873powuhqn8s2tfke5mhvjv/DA-Mediakit-2023-
Shortcut-28.09.23.pdf?ysclid=lp42kazkw4577369449 (data obrashcheniia: 18.03.2024).
3. Reiting serialov «Kinopoiska» [Elektronnyi resurs]. URL: kinopoisk.ru/lists/movies/?b=series (data obrashcheniia: 12.03.2024).
4. Eksperty nazvali samuiu populiarnuiu auditoriiu serialov v Rossii / Portal RBK [Elektronnyi resurs]. URL: rbc.ru/rbcfreenews/612baa709a79472d34ba009d (data obrashcheniia: 12.03.2024).
5. Lee Sangjae (2023). The Moderating Effects of Online Streaming Content Service Characteristics on Online Word-of-mouth for Service Performance. Applied Sciences. 13. 13274. 10.3390/app132413274.
MARKETING COMMUNICATIONS
Conceptual model of marketing communications as a tool for consumer personality management
Ketova N.P., Ph. D., Professor, Head of the Department of Marketing and Communications in Business, Southern Federal University, Russia., e-mail: nketova@sfedu.ru
ORCID: 0000-0001-6832-8174; Web Of Science: L-2937-2013; SPIN-code: 8323-7290; Author ID: 149026; Scopus: 56117462100
Vardanyan A.A., the first year PhD degree student at the faculty of Management, Southern Federal University, Russia. e-mail: vardanian@sfedu.ru
ORCID: 0000-0002-6547-1482; SPIN-code: 7370-1809; Author ID: 1112929
The article highlights the relevance of studying the process of managing consumer loyalty and using marketing communications as a tool to manage it. In modern dynamic market conditions, there is a need to improve marketing communications, taking into account digital transformations and the formation of the electronic consumer. To achieve this, it is necessary to deepen theoretical knowledge in the field of marketing communications, which will ultimately increase their effectiveness in managing consumer loyalty. The aim of this article is to analyze key points in the field of consumer loyalty management and to formulate an author's position on the essence and structure of the marketing communications model as a tool for managing consumer loyalty. The main methods of research were analysis and synthesis. As a result of the study, author's conclusions and key definitions necessary for understanding the proposed marketing communications model were formulated. The findings are applicable in the field of marketing and marketing research, as well as in the construction of a rational model of consumer loyalty. In the conclusions of the study, a conclusion is formulated that consumer loyalty management is aimed at maximizing the number and value of purchases made by the consumer, as well as the growth of income of the retail company in which these purchases are made.
Keywords: marketing communications, consumer loyalty, consumer experience, loyalty management, communication channels, object of communication, subject of communication, marketing message.
Sources
1. Fedosenko A.A. Loialnost potrebitelia: marketingovyi aspekt / A.A. Fedosenko // Vek kachestva. – 2022. – ¹ 2. – S. 100–111.
2. Zagorskaia A.I. Upravlenie loialnostiu potrebitelei v sfere torgovli / A.I. Zagorskaia // Marketing i tsenovaia politika. – 2022. – ¹ 4 (35). – S. 9–17.
3. Ketova N.P., Vardanian A.A. Uchet faktorov i kriteriev loialnosti potrebitelei prodovolstvennykh tovarov pri upravlenii ikh pokupatelskimi predpochteniiami // Ekonomika, predprinimatelstvo i pravo. – 2023. – T. 13. – ¹ 6. – S. 1865–1876. – DOI: 10.18334/epp.13.6.117789
4. Gorsheneva E.V. Formirovanie predlozheniia kak sostavliaiushchei marketingovykh kommunikatsii / E.V. Gorsheneva // Izvestiia Ural. fed. un-ta. Ser. 1: Problemy obrazovaniia, nauki i kultury. – 2017. – T. 170. – ¹ 2. – S. 94–104.
5. Kurochkina A.Iu. Programmy loialnosti potrebitelei: uiti nelzia ostatsia: monografiia // Marketing Rossii. Nauchno-pedagogicheskaia shkola «Marketing vzaimodeistviia» / pod nauch. red. G.L. Bagieva, V.G. Shubaevoi, O.U. Iuldashevoi. – SPb.: Izd-vo SPbGEU, 2022. – S. 126–131.
6. Iuldasheva O.U., Shubaeva V.G., Gorianskaia E.D. Vliianie pokupatelskogo opyta v setevom reteile na udovletvorennost i loialnost potrebitelei: monografiia // Marketing sotvorchestva i globalnye kommunikatsii doveriia / pod nauch. red. G.L. Bagieva, O.U. Iuldashevoi. – SPb.: Izd-vo SPbGEU, 2020. – S. 385–416.
7. Shchegoleva N.V. Vliianie programm loialnosti na povedenie potrebitelei / N.V. Shchegoleva // Vestnik Ivan. gos. un-ta. Ser.: Ekonomika. – 2021. – T. 25. – ¹ 4. – S. 912–921.
8. Abdullaeva Sh.Kh. Psikhologiia potrebitelei i klientov v sovremennom marketinge / Sh.Kh. Abdullaeva // Moia professionalnaia karera. – 2022. – T. 2. – ¹ 36. – S. 15–22.
9. Ivanov S.D. Razvitie loialnosti potrebitelei v sisteme marketingovykh kommunikatsii / S.D. Ivanov // Vestnik Mosk. gos. un-ta pechati. – 2024 – T. 9. – ¹ 4 (34). – S. 110–115.
10. Grafenkova E.B. Formirovanie loialnosti potrebitelei kak kliuchevaia tsel v sisteme marketingovoi deiatelnosti / E.B. Grafenkova // Vestnik Khark. nats. tekhn. un-ta sel. khoz-va imeni Petra Vasilenka. – 2021. – Vyp. 226. – S. 66–77.
11. Ataev Ch. Poniatie marketingovykh kommunikatsii i ikh sushchnost / Ch. Ataev, Ch. Allanazarova // Simvol nauki: mezhdunar. nauch. zhurnal. – 2024. – ¹ 1-1. – S. 47–48.
MARKETING FOR NON-PRODUCTIVE SPHERE
Strategic marketing planning using the example of promotion of a budgeting application
Derzhavina A.D., Candidate of Technical Sciences, Associate Professor of Business Informatics and Management, Institute Entrepreneurship Technologies and Law St. Petersburg State University of Aerospace Instrumentation, e-mail: derzhavina. a.d@mail.ru
SPIN-code: 5767-9996; Author ID: 1093374; ORCID: 0000-0003-4741-8714
Kurmanaliev E.R., student of the St. Petersburg State University of Aerospace Instrumentation, e-mail: eduard.kurmanaliyev@mail.ru
ORCID: 0009-0005-5880-4970
This article presents the definition of strategic planning, its structure and meaning, features of promoting an application in the B2C market, an analysis of competitive applications is carried out and, based on the collected data, a strategic plan is drawn up using the example of a budgeting application.
Keywords: marketing, marketing plan, strategic marketing, budgeting applications.
Sources
1. Kotler F., Keller K.L. Marketing menedzhment. – 15-e izd. – SPb.: Piter, 2018. – 848 s.
2. Lamben Zh.Zh. Strategicheskii marketing. Evropeiskaia perspektiva. – SPb.: Nauka, 1996. – 589 s.
3. Katalog telefonov Samsung, vypushchennykh v 2015 godu [Elektronnyi resurs]. URL:
kharakteristiki.ru/samsung/2015/ (data obrashcheniia: 14.10.2023).
4. Kotler F. Osnovy marketinga. Kratkii kurs. – SPb.: OOO «Dialektika», 2020. – 496 s.
5. Griaznov S.A. Marketingovye strategii B2B i B2C // Tendentsii razvitiia nauki i obrazovaniia. – 2020. – ¹ 68–5. – S. 33–36.
6. Alfeeva V.R. Osobennosti prodvizheniia na rynke B2C // Nauka XXI veka: aktualnye napravleniia razvitiia. – 2021. – ¹ 1–1. – S. 274–278.
7. Kharitonov Aleksei. Effektivnye marketingovye priemy – 12 proverennykh fishek [Elektronnyi resurs]. URL: marketingup.ru/blog/effektivnye-marketingovye-priemy-12-proverennyh-fishek (data obrashcheniia: 29.09.2023).
8. Bykova I.V. Metodika kompleksnoi otsenki effektivnosti deiatelnosti predpriiatiia [Tekst] / I.V. Bykova // Finansovyi menedzhment. – 2016. – ¹ 1. – S. 10–17.
9. Ansoff H. Igor. Strategies for Diversification // Harvard Business Review. – 1957. – No. 10. – Pp. 113 –124.
The development of hobby online schools in Russia
Laricheva E. A., Candidate of Economic Sciences, Associate Professor, associate Professor of the Department of Industrial Economics and Management of Bryansk State Technical University, e-mail: helenette@yandex.ru
SPIN-code: 5799-3065; Author ID: 210622; RSCI ID: 210622; ORCID ID: 0000-0002-3246-7823
The article presents the dynamics of the development of the online education market in Russia, describes the work of hobby online schools using the example of learning how to create jewelry. The motives of the students of these schools are analyzed, the advantages for the creators of such a school and its students, the stages of the evolution of the work of the hobby online school as a whole are considered, as well as the example of the school of the brand «Your brooch».
Keywords: online school market, hobby online school, evolution of hobby online schools in Russia.
Sources
1. Sheinin E.Ia. Onlain-shkoly kak novyi sektor ekonomiki obrazovaniia / E.Ia. Sheinin, A.A. Agadzhanian, O.N. Galenko // Vestnik MGPU. Ser.: Ekonomika. – 2022. – ¹ 1. – S. 60–77. – ISSN 2312-6647.
2. Issledovanie rossiiskogo rynka onlain-obrazovaniia: postroenie EdTech-ekosistem, usilenie roli gosudarstva, vykhod na mezhdunarodnyi rynok [Elektronnyi resurs]. URL: netology.ru/blog/06–2022-edtech-research (data obrashcheniia: 09.03.2024).
3. Mamikonian O. Obshchii oborot rynka onlain-shkol v 2023 g. vyros pochti na 50 mlrd rublei/O. Mamikonian [Elektronnyi resurs]. URL: forbes.ru/forbeslife/500232-obsij-oborot-rynka-onlajn-skol-v-2023-godu-vyros-pocti-na-50-mlrd-rublej (data obrashcheniia: 06.03.2024).
4. Ignateva Svetlana. VAShA BROShKA, BROShELEDI [Elektronnyi resurs]. URL:
vk.com/broshmk (data obrashcheniia: 09.03.2024).
5. Analitik rynka onlain-shkol: pribylnye nishi, trafik, konversii i zvezdnye proekty [Elektronnyi resurs]. URL: vc.ru/marketing/735724-analitik-rynka-onlayn-shkol-pribylnye-nishi-trafik-konversii-i-zvezdnye-proekty (data obrashcheniia: 07.03.2024).
6. Vasileva E.V. Voronka onlain-prodazh kak analiticheskii instrument upravleniia effektivnostiu biznesa / E.V. Vasileva, V.V. Loseva // Upravlenie. – 2019. – ¹ 3. – S. 63–67.
7. Rumiantsev D. 8 voronok prodazh dlia obrazovatelnoi platformy / D. Rumiantsev [Elektronnyi resurs]. URL: netology.ru/blog/06–2022-edmarket-sales-process (data obrashcheniia: 24.04.2024).
8. Shvetsova T. Kak sozdat voronku prodazh dlia onlain-kursov [Elektronnyi resurs].
URL: unisender.com/ru/blog/voronka-prodazh-dlya-onlajn-shkoly (data obrashcheniia: 24.04.2024).
9. Kliuchnikova L.V. Preimushchestva onlain-obucheniia / L.V. Kliuchnikova // Sistema tsennostei sovremennogo obshchestva. – 2015. – ¹ 40. – S. 166–168.
10. Sidorova L.V. Pliusy, minusy i perspektivy onlain-obrazovaniia / L.V. Sidorova, Iu.V. Krupskaia // Professionalnoe obrazovanie i rynok truda. – 2020. – ¹ 2. – S. 87–88.
11. Tambieva S.I. Preimushchestva i nedostatki onlain-obrazovaniia / S.I. Tambieva, A.A. Salpagarova // Uchenye zapiski universiteta im. P.F. Lesgafta. – 2021. – ¹ 1. – S. 352–355. – ISSN 1994-4683.
ARTIFICIAL INTELLIGENCE IN MARKETING
The impact of artificial intelligence on marketing education
Sidorchuk R.R., Doctor of Economics, Associate Professor, Professor of the Department of Marketing Plekhanov Russian University of Economics, Moscow, Russia, e-mail: Sidorchuk.RR@rea.ru
SPIN-ñîde: 5776-9216; Author ID: 435077; Scopus Author ID: 56426297800; Researcher ID (WoS): D-4239-2009; ORCID ID: 0000-0002-4033-2937
This article examines the application of AI in marketing and the implications AI has for marketing educators. To date, marketing educators have focused on the technical application of AI in marketing practice. But since AI raises important questions for the future development of marketing education and career prospects for both marketing managers and marketing educators, the discussion in this article will focus on this issue.
Keywords: education, artificial intelligence, marketing, generative artificial intelligence, marketing education.
Sources
1. Crittenden V.L. The (R)evolution of Marketing Education // Journal of Marketing Education. – 2023. – No. 45 (1) – Pp. 3–4 [Elektronnyi resurs]. URL: doi.org/10.1177/02734753221146713
2. Qureshi Zia and Cheonsik Woo, eds. Shifting Paradigms: Growth, Finance, Jobs, and Inequality in the Digital Economy. – Brookings Institution Press, 2022. – 297 p.
3. Malkhorta Neresh. Marketingovye issledovaniia. Prakticheskoe rukovodstvo: per. s angl. – 3-e izd. – M.: Izd. dom «Viliame», 2002. – 960 s.
4. Harambašić Sven. The past, present and digital future of marketing education // Proceedings of FEB Zagreb International Odyssey Conference on Economics and Business; Zagreb, t. 5, v. 1: University of Zagreb, Faculty of Economics and Business. – June 2023. – Pp. 204–215.
5. Maynard H.H. Marketing courses prior to 1910 // Journal of Marketing. – 1941. – No. 5 (4). – Pp. 382–384.
6. Osipov V.G. Sistema obrazovaniia i nauchno-tekhnicheskaia revoliutsiia (sotsialno-filosofskii aspekt) dis. … kand. filos. nauk: 09.00.01. – M.: RGB, 1984. – 178 s. [Elektronnyi resurs]. URL: rusneb.ru/catalog/000199_ 000009_003427360/ (data obrashcheniia: 24.02.2024).
7. Chto takoe tsifrovaia ekonomika [Elektronnyi resurs]. URL: fingramota.org/teoriya-finansov/item/2198-chto-takoe-tsifrovaya-ekonomika (data obrashcheniia: 24.02.2024).
8. Kak iskusstvennyi intellekt mozhet uluchshit obrazovanie?//IuNESKO. 13.02.2019 [Elektronnyi resurs]. URL: unesco.org/ru/articles/kak-iskusstvennyy-intellekt-mozhet-uluchshit-obrazovanie (data obrashcheniia: 24.02.2024).
9. Nvidia CEO Jensen Huang's message to kids: generative AI means you don't need to learn coding [Elektronnyi resurs]. URL: www-techspot-com.translate.goog/news/102020-nvidia-boss-jensen-huang-children-shouldnt-learn-code.html?_x_tr_sl=en&_x_tr_tl=ru&_x_tr_hl=ru&_x_tr_pto=wapp (data obrashcheniia: 24.02.2024).
10. Vliianie iskusstvennogo intellekta na obrazovanie. ANO «Tsifrovaia ekonomika» [Elektronnyi resurs]. URL: ai.gov.ru/knowledgebase/obrazovanie-i-kadry-ii/2024_vliyanie_iskusstvennogo_intellekta_na_obrazovanie_ano_cifrovaya_ekonomika_ (data obrashcheniia:
24.02.2024).
11. Sidorchuk R.R. Teoreticheskie i prakticheskie aspekty primeneniia ChatGPT v marketinge//Marketing MBA. Marketingovoe upravlenie predpriiatiem. – 2023. – T. 14. – ¹ 1. – S. 4–25.
12. AI-generated bug reports are becoming a big waste of time for developers [Elektronnyi resurs]. URL: techspot.com/news/101440-ai-generated-bug-reports-waste-time-developers.html (data obrashcheniia: 24.02.2024).
13. Tools A., Liu J., Tang X., Li L. & Chen P. ChatGPT vs. Stack Overflow: An Exploratory Comparison of Programming [Elektronnyi resurs]. URL: arxiv.org/abs/2308.02312 (data obrashcheniia: 24.02.2024).
14. Pavlova E.V. Motivatsiia nauchnoi deiatelnosti: klassifikatsiia i faktory razvitiia // VEPS. – 2022. – ¹ 4 [Elektronnyi resurs]. URL: cyberleninka.ru/article/n/motivatsiya-nauchnoy-deyatelnosti-klassifikatsiya-i-faktory-razvitiya (data obrashcheniia: 02.03.2024).
15. Veber M. Izbrannye proizvedeniia: per. s nem. / sost., obshch. red. i avt. poslesl. Iu.N. Davydova; avt. predisl. P.P. Gaidenko. – M.: Progress, 1990. – 808 s.
Predicting customer lifetime value in retail using machine learning methods
Lamanov M.Yu., Master of Management, Faculty of Economics, Lomonosov Moscow State University, e-mail: mhllmnv122@gmail.com
Deinekin T.V., Candidate of Economic Sciences, Associate Professor of Department of Marketing, Faculty of Economics, Lomonosov Moscow State University, e-mail: tihon@deynekin.ru
IstinaResearcher ID (IRID): 153716097; SPIN-code: 5534-4372; Author ID: 493064
Customer lifetime value is a metric that has already become one of the main metrics tracked in marketing activities. Researchers are interested not only in the profit received by the company from clients at the time of purchase, but also in all profits, both already received and potential over the entire “life” of the client. The work analyzes existing approaches to defining the concept of “customer lifetime value”, formulas for calculating it, systematizes the practice of using machine learning to predict it.
Keywords: customer lifetime value, LTV, CLV, artificial intelligence, machine learning.
Sources
1. Sovremennyi marketing: uchebnik / pod red. V.V. Gerasimenko. – M.: Ekon. fak. MGU imeni M.V. Lomonosova, 2023.
2. Shet D.N., Parvatiiar A., Sinkha M. Kontseptualnye osnovy marketinga vzaimootnoshenii: obzor i sintez // Ros. zhurnal menedzhmenta. – 2013. – T. 11. – ¹ 1. – S. 63–94.
3. Global Customer Loyalty Report 2024 // Antavo [Elektronnyi resurs]. URL:
antavo.com/reports/global-customer-loyalty-report-2024/( data obrashcheniia: 25.03.2024).
4. The 8th Edition State of Marketing Report // Salesforce [Elektronnyi resurs]. URL:
salesforce.com/resources/research-reports/state-of-marketing/( data obrashcheniia: 10.03.2024).
5. Issledovanie v oblasti klientskoi analitiki: Razvitie i primenenie metodologii LTV v Rossii i SNG v 2021–2022 // Coffee Analytics [Elektronnyi resurs]. URL: coffee-analytics.ru/ltv-in-cis (data obrashcheniia: 26.03.2024).
6. Kotler F., Keller K.L. Marketing-menedzhment. Ekspress-kurs. – 3-e izd. – SPb.: Piter, 2010.
7. Gupta S. et al. Modeling customer lifetime value // Journal of service research. – 2006. – Vol. 9. – No. 2. – Pp. 139–155.
8. Dzheffri M. Marketing, osnovannyi na dannykh. 15 pokazatelei, kotorye dolzhen znat kazhdyi. – M.: Mann, Ivanov i Ferber, 2013.
9. Dvoriashina M.M. Klientskie aktivy kompanii: interfeis «marketing-finansy» // Journal of new economy. – 2017. – ¹ 2 (70). – S. 54.
10. Chto takoe LTV v marketinge i kak ee schitat // Yandex [Elektronnyi resurs]. URL:
yandex.ru/adv/edu/materials/ltv (data obrashcheniia: 04.04.2024).
11. Customer lifetime value: The customer compass // McKinsey [Elektronnyi resurs].
URL: mckinsey.com/capabilities/mckinsey-digital/our-insights/customer-lifetime-value-the-customer-compass (data obrashcheniia: 02.04.2024).
12. Kumar V., Venkatesan R., Bohling T., Beckmann D. The Power of CLV: Managing Customer Lifetime Value at IBM // Marketing Science. – 2008. – Vol. 27. – No. 4. – Pp. 585–599.
13. Jonker J.J., Piersma N., Van den Poel D. Joint optimization of customer segmentation and marketing policy to maximize long-term profitability // Expert Systems with Applications. – 2004. – Vol. 27. – No. 2. – Pp. 159–168.
14. Chang W., Chang C., Li Q. Customer lifetime value: A review // Social Behavior and Personality: an international journal. – 2012. – Vol. 40. – No. 7. – Pp. 1057–1064.
15. Mulhern F.J. Customer profitability analysis: Measurement, concentration, and research directions // Journal of interactive marketing. – 1999. – Vol. 13. – No. 1. – Pp. 25–40.
16. Ekinci Y. et al. Analysis of customer lifetime value and marketing expenditure decisions through a Markovian-based model // European journal of operational research. – 2014. – Vol. 237. – No. 1. – Pp. 278–288.
17. Karvanen J., Rantanen A., Luoma L. Survey data and Bayesian analysis: a cost-efficient way to estimate customer equity // Quantitative Marketing and Economics. – 2014. – Vol. 12. – Pp. 305–329.
18. Pepe M. et al. Customer lifetime value: A vital marketing/financial concept for businesses // Journal of Business & Economics Research (JBER). – 2012. – Vol. 10. – No. 1. – Pp. 1–10.
19. Rozek J., Karlícek M. Customer Lifetime Value as the 21st Century Marketing Strategy Approach // Central European Business Review. – 2014. – Vol. 3. – No. 2. – P. 28.
20. Gupta S., Lehmann D.R. Customers as assets // Journal of Interactive Marketing. – 2023. – No 17. – Pp. 9–24.
21. Jain D., Singh S.S. Customer lifetime value research in marketing: A review and future directions // Journal of interactive marketing. – 2002. – Vol. 16. – No. 2. – Pp. 34–46.
22. Gupta S., Lehmann D.R., Stuart J.A. Valuing Customers // Journal of Marketing Research. – 2004. – No. 41 (1). – Pp. 7–18.
23. Ispolzovanie ML dlia prognozirovaniia CLTV // Blog kompanii «Bilain» na platforme «Khabr» [Elektronnyi resurs]. URL: habr.com/ru/companies/beeline_tech/articles/771246/ (data obrashcheniia: 01.03.2024).
24. Krasilnikov D.E. Obzor literatury po korreliatsionno-regressionnomu analizu s momenta vozniknoveniia po nastoiashchee vremia // Matematika v vysshem obrazovanii. – 2010. – ¹ 8. – S. 53.
25. Wu J., Coggeshall S. Foundations of predictive analytics. – Áîêà-Ðàòîí CRC Press, 2012.
26. Aeron H., Kumar A., Janakiraman M. Application of data mining techniques for customer lifetime value parameters: a review // International Journal of Business Information Systems. – 2010. – Vol. 6. – No. 4. – Pp. 514–529.
27. Chen S. Estimating customer lifetime value using machine learning techniques // Data mining. – IntechOpen, 2018. – Vol. 17.
28. Rathi T., Ravi V. Customer lifetime value measurement using machine learning techniques // Artificial Intelligence: Concepts, Methodologies, Tools, and Applications. – IGI Global, 2017. – Pp. 3013–3022.
29. Gerde M. Predicting Customer Churn and Customer Lifetime Value (CLV) using Machine Learning (Master’s Theses). – Lund: Lund University, 2023.
30. Chamberlain B.P. et al. Customer lifetime value prediction using embeddings // Proceedings of the 23rd ACM SIGKDD international conference on knowledge discovery and data mining. – 2017. – Pp. 1753–1762.
31. Sun Y. et al. Profitable retail customer identification based on a combined prediction
strategy of customer lifetime value // Midwest Social Sciences Journal. – 2021. – Vol. 24. – No. 1. – P. 10.
32. Kuijt C. Prediction of customer lifetime value in e-commerce fashion retail: äèñ. – Vrije Universiteit Amsterdam, 2022.
33. Fahim S.F., Khan M.M.I. Customer Lifetime Value Prediction Using The Regression Model // International Research Journal of Modernization in Engineering, Technology and Science. – 2023. – Pp. 3445–3452.
34. Chen P.P. et al. Customer lifetime value in video games using deep learning and parametric models // 2018 IEEE international conference on big data (big data). – N.J.: IEEE, 2018. – Pp. 2134–2140.
35. Vse, chto Vy khoteli znat ob LTV, no boialis sprosit: raschet, analiz, primenenie // Coffee Analytics [Elektronnyi resurs]. URL: coffee-analytics.ru/ltv-book (data obrashcheniia: 25.03.2024).
How artificial intelligence is changing the approach to interacting with customers and creating personalized offers
Denisova E.V., senior teacher of the Kaluga branch of the Financial University, e-mail: evdenisova@fa.ru
SPIN-code: 8398-7889; ORCID: 0000-0002-3454-2380
Filimonova A.A., 4th year bachelor of the Kaluga branch of the Financial University, e-mail: anastasiya.fil1monova@yandex.ru
The article examines the influence of artificial intelligence on the approach to interaction with clients in modern business. The authors reveal ways to create personalized offers using AI and new opportunities that open up for companies in improving customer experience.
Keywords: Artificial intelligence, customer interaction, personalized offers, business, customer experience, technology, artificial intelligence, effective interaction, business transformation.
Sources
1. Dubrov E.N., Drozdov D.M. Prakticheskii kurs po sozdaniiu neironnykh setei. – SPb.: BKhV-Peterburg, 2020.
2. Morozov V.S., Chernov V.F. Bolshie dannye i iskusstvennyi intellekt. – M.: Feniks, 2018.
3. Daily Mail. ChatGPT diagnosis rare condition [Elektronnyi resurs]. – Ðåæèì äîñòóïà: dailymail.co.uk/health/article-12509111/ChatGPT-diagnosis-rare-condition.html
4. AI.gov.ru. Àâèòî âûÿñíèëà, äëÿ ÷åãî ðîññèÿíå èñïîëüçóþò íåéðîñåòè [Elektronnyi resurs]. – Ðåæèì äîñòóïà: ai.gov.ru/mediacenter/avito-vyyasnila-dlya-chego-rossiyane-ispolzuyut-neyroseti/?pageStart=29
5. Ivanov I.I. Iakov i Partnery. Budushchee iskusstvennogo intellekta: prognozy i realizatsiia [Elektronnyi resurs].– Rezhim dostupa: yakov.partners/upload/iblock/c5e/c8t1wrkdne5y9a4nqlicderalwny7xh4/20231218_AI_future.pdf
6. Magnit: ofitsialnyi sait. Magnit sozdal laboratoriiu iskusstvennogo intellekta [Elektronnyi resurs]. – Rezhim dostupa: magnit.com/ru/media/press-releases/magnit-sozdal-laboratoriyu-iskusstvennogo-intellekta/
7. Burtsev A.G., Gudkova I.A. Iskusstvennyi intellekt v biznese i ekonomike. – M.: Knizh. dom «LIBROKOM», 2019.
8. Golubeva I.D. Tekhnologii iskusstvennogo intellekta v sovremennom marketinge // Marketing v Rossii. – 2020. – ¹ 2 (34). – S. 60–70.
9. Guzolenko V.A., Ryndin Iu.A. Iskusstvennyi intellekt. Pravovye i nravstvennye aspekty. – M.: Dashkov i Ko, 2020.
10. Gorokhov F.A. Primenenie neironnykh setei v biznese. – M.: NIOKR, 2021.
DISCUSSION CLUB
Analysis of the use prospects of artificial intelligence technologies for marketers training
Tokarev B.E., Doctor of Economics, Professor, State University of management, e-mail: tokarevboris@gmail.com
SPIN-code: 3331-1295; Author ID: 636624; Scopus ID: 57220963086; ORCID: 0000-0001-6057-8451
The paper discusses the results of a study artificial intelligence (AI) technologies use by students of higher educational institutions during their studies. The factors influencing the use of such technologies have been identified. The risks associated with the introduction and use of artificial intelligence in various fields are shown. The state and prospects of using artificial intelligence technologies in the training of marketers are analyzed. Real-world cases show how students are currently using these technologies. The results of a survey of students are presented, which provides data on their willingness to use AI technologies to perform various educational tasks. The survey showed that the level of use of AI by students for educational purposes is over 80%. The tasks on which AI is relevant are investigated. The problematic areas of AI application in the training of marketers are shown. The main directions of the development of software packages for legal use in the educational process are analyzed.
Keywords: artificial intelligence, machine learning, higher education, marketing, student.
Sources
1. Who is leading in AI? An analysis of industry AI research [Elektronnyi resurs]. URL:
epochai.org/blog/who-is-leading-in-ai-an-analysis-of-industry-ai-research (data obrashcheniia: 01.03.2024).
2. V Britanii priniata mezhdunarodnaia deklaratsiia o bezopasnom ispolzovanii II [Elektronnyi resurs]. URL: iz.ru/1598615/2023–11–01/v-britanii-priniata-mezhdunarodnaia-deklaratciia-o-bezopasnom-ispolzovanii-ii (data obrashcheniia: 01.03.2024).
3. Ukaz Prezidenta RF ot 10.10.2019 ¹ 490 «O razvitii iskusstvennogo intellekta v Rossiiskoi Federatsii» (vmeste s Natsionalnoi strategiei razvitiia iskusstvennogo intellekta na period do 2030 g.) [Elektronnyi resurs]. URL: static.kremlin.ru/media/events/files/ru/AH4x6HgKWANwVtMOfPDhcbRpvd1HCCsv.pdf
4. Chto takoe mashinnoe obuchenie? [Elektronnyi resurs]. URL: trends.rbc.ru/trends/industry/60c85c599a7947f5776ad409 (data obrashcheniia: 01.03.2024).
5. Iskusstvennyi intellekt v Rossii – 2023: trendy i perspektivy. – M., 2023. – 80 s. – Iakov i Partnery; Iandeks [Elektronnyi resurs]. URL: yakov.partners/upload/iblock/c5e/c8t1wrkdne5y9a4nqlicderalwny7xh4/20231218_AI_future.pdf (data obrashcheniia: 01.03.2024).
6. Cooper R.G., McCausland T. AI and New Product Development // Research-Technology management. – 2024. – No. 67 (1). – Pp.70–75. – DOI:10.1080/08956308.2024.2280485
7. Iskusstvennyi intellekt v kreativnoi industrii: zamena liudei ili pomoshchnik [Elektronnyi resurs]. URL: trends.rbc.ru/trends/futurology/63ff13a19a794752e03aeab5?from=copy
8. EdTech, MedTech i ne tolko tech: kakie rynki budut rasti v 2022 godu [Elektronnyi resurs]. URL: trends.rbc.ru/trends/innovation/61efb1cf9a79476fb776b604 (data obrashcheniia: 01.03.2024).
9. Napisannyi s pomoshchiu ChatGPT diplom studenta RGGU proverit rukovodstvo vuza [Elektronnyi resurs]. URL: kommersant.ru/doc/5798331 (data obrashcheniia: 01.03.2024).
10. Amerikanskikh studentov lishili diplomov iz-za ispolzovaniia ChatGPT [Elektronnyi resurs]. URL: forklog.com/news/ai/amerikanskih-studentov-lishili-diplomov-iz-za-ispolzovaniya-chatgpt (data obrashcheniia: 01.03.2024).
11. Kupi-sdai: tenevoi oborot na rynke studencheskikh rabot mozhet dostigat 10 mlrd rublei [Elektronnyi resurs]. URL: iz.ru/1650895/dmitrii-alekseev/kupi-sdai-tenevoi-oborot-na-rynke-studencheskikh-rabot-mozhet-dostigat-10-mlrd-rublei (data obrashcheniia: 01.03.2024).
12. MakFarland A. 10 luchshikh instrumentov iskusstvennogo intellekta dlia obrazovaniia [Elektronnyi resurs]. URL: unite.ai/ru/10-luchshikh-instrumentov-iskusstvennogo-intellekta-dlia-obrazovaniia. – 20 noiabria 2023 (data obrashcheniia: 01.03.2024).
13. Davronova F. Top-10 neirosetei dlia ucheby studentov i shkolnikov [Elektronnyi resurs]. URL: dzen.ru/a/ZGHRs0KuRktFOa02 (data obrashcheniia: 01.03.2024).
14. Podborka poleznykh neirosetei dlia studentov [Elektronnyi resurs]. URL:
disshelp.ru/blog/podborka-poleznyh-nejrosetej-dlya-studentov/(data obrashcheniia: 01.03.2024).
15. Kak II pomogaet studentam v rossiiskikh vuzakh [Elektronnyi resurs]. URL:
dzen.ru/a/ZPXmpRCaNG8O0wSL (data obrashcheniia: 01.03.2024).
16. Neiroseti dlia ucheby: obzor neirosetei dlia studentov i shkolnikov [Elektronnyi resurs]. URL: neuroseti.ru/neyroseti-dlya-uchyoby-obzor-neyrosetey-dlya-studentov-i-shkolnikov/ (data obrashcheniia: 01.03.2024).
17. Neiroset dlia ucheby v vuze [Elektronnyi resurs]. URL: kampus.ai/gpt-bot/neiroset-dlia-uchebyi-v-vuze (data obrashcheniia: 01.03.2024).
18. Iskusstvennyi intellekt v obrazovanii: izmenenie tempov obucheniia. Analiticheskaia zapiska IITO IuNESKO/Stiven Daggen; red. S.Iu. Kniazeva; per. s angl.: A.V. Parshakova. – M.: In-t IuNESKO po inform. tekhnologiiam v obrazovanii, 2020. – 45 s. [Elektronnyi resurs]. URL: iite.unesco.org/wp-content/uploads/2020/12/Steven_Duggan_AI-in-Education_2020_RUS.pdf
19. AI v obuchenii: na chto sposobny tekhnologii uzhe seichas? // EduTech. – 2022. – ¹ 4. – 60 s. [Elektronnyi resurs]. URL: lib.tsu.ru/sp/assets/users/_smirnov/EduTech_49_web.pdf; (data obrashcheniia: 01.03.2024).
20. Ushcheko A.V. Iskusstvennyi intellekt v obrazovanii. Primenenie iskusstvennogo intellekta dlia obespecheniia adaptivnosti obrazovaniia // Vestnik nauki. – 2023. – ¹ 6 (63). – T. 4. – S. 859–866 [Elektronnyi resurs]. URL: vestnik-nauki.rf/article/9284 (data obrashcheniia: 27.02.2024).
21. Smarakova A. Budushchee uzhe zdes. Kak iskusstvennyi intellekt meniaet obrazovanie [Elektronnyi resurs]. URL: theoryandpractice.ru/posts/20442-budushchee-uzhe-zdes-kak-iskusstvennyy-intellekt-menyaet-obrazovanie?ysclid=lj6sgvx2wk834757252 (data obrashcheniia: 20.06.2023).
22. Linch M. Iskusstvennyi intellekt v obrazovanii: sem variantov primeneniia [Elektronnyi resurs]. URL: the-accel.ru/iskusstvennyiy-intellekt-v-obrazovanii-sem-variantov-primeneniya/?ysclid=ljbd0y2j5n134996491 (data obrashcheniia: 01.03.2024).
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