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Transformation of Customer Economic Behavior in Digital World

https://doi.org/10.21686/2413-2829-2020-5-169-181

Abstract

Digitalization processes that have been energetically developing lately form a basis of considerable transformation of customer economic behavior. Digital technologies keep on perfecting by moving up to new platforms. The authors give examples of new formats of outlets, ways of payment, delivery and product marking. Changes in marketing strategies in current conditions are shown and transition to digital marketing is grounded. Advanced marketing tools, such as SEO, SMM, SMO, SEM and crowd-technology are studied. Their future development is based on research by scientists and practical workers in the field of machine training, artificial neuron networks and cognitive technologies. The article provides examples of using chat-bots, electronic assistants, mobile applications, which help customers search for goods and services. Their principle advantages are studied, which aim at rising sales and their impact on economic decision-making is analyzed. The rising role of artificial intellect and neuron networks in developing digital products is underlined. The use of artificial intellect technologies allows retail to increase sales at the expense of effective digital tools, which can improve customer loyalty to the brand. In the end the authors came to the conclusion about trends of customer economic behavior in the ear of digitalization.

About the Authors

N. V. Barinova
Plekhanov Russian University of Economics
Russian Federation

Natal'ya V. Barinova PhD, Chief Expert of the Department of Academic Events and Protection of Intellectual Property

36 Stremyanny Lane, Moscow, 117997



V. R. Barinov
Moscow Polytechnic University
Russian Federation

Vladimir R. Barinov Post-Graduate Student of the Department for Infocognitive Technologies

38 B. Semenovskaya Str., Moscow, 105094



References

1. Barinov V. R. Primenenie tsifrovykh tekhnologiy pri proektirovanii slozhnykh sistem [The Use of Digital Technology in the Design of Complex Systems]. XXXII Mezhdunarodnye Plekhanovskie chteniya, sbornik statey aspirantov i molodykh uchenykh [32nd International Plekhanov readings. Collection of articles by graduate students and young scientists]. Moscow, FGBOU VO «REU im. G. V. Plekhanova», 2019, pp. 212–215. (In Russ.).

2. Barinov V. R. Unikalnye osobennosti raboty servisa «google translate», ispolzuyushchego neyronnuyu set [Unique Features of the Google Translate Service Using a Neural Network]. Nauchnye issledovaniya i razrabotki molodykh uchenykh, sbornik materialov XVI Mezhdunarodnoy molodezhnoy nauchno-prakticheskoy konferentsii [Research and Development of Young Scientists. Collection of materials of the 16th International Youth Scientific and Practical Conference]. Moscow, 2017, pp. 55–59. (In Russ.).

3. Barinova N. V. Transformatsiya potrebitelskogo povedeniya: istoriya i sovremennost [Transformation of Consumer Behavior: History and Modernity]. Vestnik Rossiyskogo ekonomicheskogo universiteta imeni G. V. Plekhanova [Vestnik of the Plekhanov Russian University of Economics], 2018, No. 3 (99), pp. 140–146. (In Russ.).

4. Belyaeva Yu. V. Primenenie innovatsionnykh tekhnologiy v sovremennom marketinge [The Use of Innovative Technologies in Modern Marketing]. Innovatsii i investitsii [Innovation and Investment], 2020, No. 3, pp. 6–8. (In Russ.).

5. Bobrova E. A., Yuldasheva O. U., Okolnishnikova I. Yu. Problemy formirovaniya i razvitiya konkurentosposobnogo brenda v usloviyakh ekonomiki vpechatleniy [The Problems of the Formation and Development of a Competitive Brand in the Economy of Impressions]. Vestnik Udmurtskogo universiteta [Bulletin of the Udmurt University], 2011, No. 2-1, pp. 74–85. (In Russ.).

6. Gorelova A. A. Tekhnologii iskusstvennogo intellekta i ikh ispolzovanie v marketinge i reteyle [Artificial Intelligence Technologies and Their Use in Marketing and Retail]. Obrazovatelnaya sistema: voprosy produktivnogo vzaimodeystviya nauk v ramkakh tekhnicheskogo progressa, sbornik nauchnykh trudov [Educational System: Issues of the Productive Interaction of Sciences in the Framework of Technical Progress. Collection of Scientific Papers]. Kazan, 2019, pp. 287–292. (In Russ.).

7. Demidchik V. A., Kalinovskaya I. N., Makarina M. I., Sherstneva O. M. Primenenie iskusstvennogo intellekta v kognitivnom marketinge [The Use of Artificial Intelligence in Cognitive Marketing]. Innovatsionnaya ekonomika dlya sovremennogo mira [Innovative Economics for the Modern World]. Odessa, 2018, pp. 53–59. (In Russ.).

8. Ivanchenko O. V. K voprosu ob aktualnosti tekhnologiy iskusstvennogo intellekta v marketinge [On the Relevance of Artificial Intelligence Technologies in Marketing]. Ekonomika. Nauka. Innovatika, materialy I Respublikanskoy nauchno-prakticheskoy konferentsii [Economics. The Science. Innovation. Materials of the 1st Republican scientific-practical conference], edited by A. V. Yaroshenko. Donetsk, 2020, pp. 101–103. (In Russ.).

9. Ivanchenko O. V., Khmelevskoy V. G. Sovremennye informatsionno-kommunikatsionnye tekhnologii v marketinge roznichnoy torgovli [Modern Information and Communication Technologies in Retail Marketing]. Fundamentalnye i prikladnye razrabotki estestvennykh i gumanitarnykh nauk: sovremennye kontseptsii, poslednie tendentsii razvitiya, materialy XV Vserossiyskoy nauchno-prakticheskoy konferentsii [Fundamental and Applied Developments of the Natural and Humanitarian Sciences: Modern Concepts, Recent Development Trends. Materials of the 15th All-Russian Scientific and Practical Conference]. Moscow, 2018, pp. 255–258. (In Russ.).

10. Kalinovskaya I. N., Sherstneva O. M. Integratsiya iskusstvennogo intellekta v marketing [The Integration of Artificial Intelligence in Marketing]. Sotsialno-ekonomicheskoe razvitie organizatsiy i regionov Belarusi: effektivnost i innovatsii, sbornik nauchnykh statey [Socio-Economic Development of Organizations and Regions of Belarus: Efficiency and Innovation. Collection of scientific articles]. Vitebsk, 2018, pp. 79–82. (In Russ.).

11. Manzhosov A. E. Didzhitalizatsiya rynkov uslug i potrebitelskaya loyalnost [Digitalization of Service Markets and Consumer Loyalty]. Izvestiya Sankt-Peterburgskogo gosudarstvennogo ekonomicheskogo universiteta [News of Saint Petersburg State University of Economics], 2018, No. 3 (111), pp. 151–156. (In Russ.).

12. Masyuk N. N., Vasyukova L. K., Ishchenko A. E., Didenko P. S. Chat-bot kak innovatsionnyy instrument primeneniya neyronnykh setey pri optimizatsii protsessa prodazh [Chatbot as an Innovative Tool for Using Neural Networks to Optimize the Sales Process]. Azimut nauchnykh issledovaniy: ekonomika i upravlenie [Azimuth of Scientific Research: Economics and Management], 2019, Vol. 8, № 4 (29), pp. 184–188. (In Russ.).

13. Morozov V. V. Tekhnologii beskontaktnoy oplaty [Contactless Payment Technologies]. Ot sinergii znaniy k sinergii biznesa, sbornik statey i tezisov dokladov V Mezhdunarodnoy nauchnoprakticheskoy konferentsii studentov, magistrantov i prepodavateley [From the Synergy of Knowledge to the Synergy of Business. Collection of articles and abstracts of the 5th International Scientific and Practical Conference of students, undergraduates and teachers]. Moscow, 2018, pp. 737–740. (In Russ.).

14. Polishchuk N. V., Kiryushkina N. V. Tendentsii razvitiya marketinga v tsifrovoy ekonomike [Marketing Trends in the Digital Economy]. Transportnoe delo Rossii [Transport Business in Russia], 2020, No. 1, pp. 24–26. (In Russ.).

15. Ryazanova G. N., Sazanova A. A., Sazanova S. L. Vliyanie protsessov tsifrovizatsii ekonomiki na deyatelnost nefinansovykh organizatsiy [The Impact of Digitalization of the Economy on the Activities of Non-Financial Organizations]. Upravlenie [Control], 2018, Vol. 6, No. 2, pp. 52–56.

16. Sberbank i Visa zapustyat magaziny bez kass i prodavtsov. Sovershat pokupki pozvolit tekhnologiya kompyuternogo zreniya [Sberbank and Visa will Launch Stores without Cash Desks and Sellers. Technology will Allow Computer Vision to Make Purchases]. (In Russ.). Available at: https://www.rbc.ru/finances/20/05/2020/5ec410b19a7947391d0f2ab7 (accessed 23.06.2020).

17. Filippovich Yu. N., Barinov V. R. Poisk tsepochek v assotsiativno-verbalnykh setyakh [Search Chains in Associative-Verbal Networks]. Teoriya rechevoy deyatelnosti: vyzovy sovremennosti, aterialy XIX Mezhdunarodnogo simpoziuma po psikholingvistike i teorii kommunikatsii. Moskva, 6–8 iyunya 2019 g. [Theory of Speech Activity: Challenges of our Time. Materials of the 19th International Symposium on Psycholinguistics and Theory of Communication, Moscow, June 6–8, 2019]. Moscow, Kantsler, 2019, pp. 160–161. (In Russ.).

18. Chat-boty: chto biznes dumaet o virtualnykh pomoshchnikakh [Chatbots: what the Business Thinks of Virtual Assistants]. (In Russ.). Available at: https://vc.ru/services/66319chat-boty-chto-biznes-dumaet-o-virtualnyh-pomoshchnikah (accessed 26.06.2020).

19. Amazon Echo Review. Available at: https://www.techradar.com/reviews/audiovisual/hi-fi-and-audio/audio-systems/amazon-echo-1272454/review (accessed 27.06.2020).

20. Anderson R. E., Srinivasan S. S. E-Satisfaction and E-Loyalty: A Contingency Framework. Psychology & Marketing, 2003, Vol. 20, No. 2, pp. 123–138.

21. Chaffey D., Smith P. R. Digital Marketing Excellence: Planning, Optimizing and Integrating Online Marketing. 5th edition. New York, 2017. Available at: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=nlebk&AN=1496981

22. Fan W. S., Tsai M. C. Factors Driving Web Site Success – the Key Role of Internet Customization and the Influence of Web Site Design Quality and Internet Marketing Strategy. Total Quality Management & Business Excellence, 2010, Vol. 21, No. 11, pp. 1141–1159.

23. Introducing Bold360: Making Digital Customer Service Smarter. Available at: https://blog.bold360.com/boldchat-news/introducing-bold360-making-digital-customer-service-smarter/ (accessed 26.06.2020).

24. Jahnavi M. Introduction to Neural Networks, Advantages and Applications. Available at: www.deeplearningtrack.com. https://towardsdatascience.com/introduction-to-neuralnetworks-advantages-and-applications-96851bd1a207

25. Kassim N., Abdullah N. A. The Effect of Perceived Service Quality Dimensions on Customers Satisfaction, Trust, and Loayalty in E-Commence Settings: A cross cultural analysis. Asia Pacific Journal of Marketing and Logistics, 2010, Vol. 22, No. 3, pp. 351–371.

26. Ludermir T. V., Yamazaki A., Zanchettin C. An Optimization Methodology for Neural Network Weights and Architectures IEEE Trans. Neural Network, 2006, Vol. 17 (6), pp. 14521459.

27. Reichheld F. F., Schefter P. E-Loyalty: Your Secret Weapon on the Web. Harvard Business Review, 2000, No. 87 (4), pp. 105–113.


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For citations:


Barinova N.V., Barinov V.R. Transformation of Customer Economic Behavior in Digital World. Vestnik of the Plekhanov Russian University of Economics. 2020;17(5):169-181. (In Russ.) https://doi.org/10.21686/2413-2829-2020-5-169-181

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ISSN 2413-2829 (Print)
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