Adaptive SMM strategies in the activities of trading companies
DOI:
https://doi.org/10.31617/3.2025(141)07Keywords:
marketing communications, trade enterprises, social networks, adaptive strategies, management.Abstract
The issue of managing marketing communications of trading enterprises in social networks using adaptive strategies and a systemic approach has been studied. The relevance of the topic is determined by the growing role of social platforms as a key channel for interacting with customers, which requires scientifically grounded methods to enhance the effectiveness of communication processes. The study is based on the hypothesis that the application of systemic management and adaptive strategies makes it possible to create a flexible and effective model for managing marketing communications, which takes into account risks and the dynamics of the digital environment. To test this hypothesis, a set of methods of system analysis, sociological research, and statistical data processing was used. The research results confirmed the expediency of integrating adaptive approaches into marketing strategies, which contributes to increasing audience engagement and optimizing communication costs. The scientific novelty of the work lies in the proposed conceptual model of communication management, which is based on the combination of qualitative and quantitative indicators, the integration of a risk-oriented approach, and adaptive mechanisms. The practical significance of the obtained results is revealed in the possibility of their application by trade enterprises to enhance the effectiveness of interaction with the target audience and ensure the sustainability of communication strategies.
References
Barabba, V., & Mitroff, I. (2023). Strategic Assumption Surfacing and Testing (SAST). Systems Thinking, 3(1), 1-9. https://doi.org/10.54120/jost.0000016
Checkland, P., & Poulter, J. (2020). Soft Systems Methodology. In Handbook of Systems and Complexity in Health (pp. 201-253). Springer. https://doi.org/10.1007/978-1-4471-7472-1_5
Flood, R. L., & Jackson, M. C. (1991). Creative problem solving: Total systems intervention (1st ed.). Wiley. https://doi.org/10.1007/978-1-4899-2632-6_11
Kabanova, O. O., Yeremeyeva, A. S., & Us, M. I. (2024). Social media as a digital marketing tool: Research on modern trends and approaches. Marketing, 658.8:004.77. https://doi.org/10.5281/zenodo.14193877
Mirwan, S., Ginny, P., Darwin, D., Ghazali, R., & Lenas, M. (2023, November 30). Using artificial intelligence (AI) in developing marketing strategies. International Journal of Applied Research and Sustainable Sciences, 1(3), 225-238. https://doi.org/10.59890/ijarss.v1i3.896
Potwora, M., Vdovichena, O., Semchuk, D., Lipych, L., & Saienko, V. (2024, May 3). The use of artificial intelligence in marketing strategies: Automation, personalization and forecasting. Journal of Management World, 41-49. https://doi.org/10.53935/jomw.v2024i2.275
Demchyna, D. (n. d.). Digital transformation in business: key aspects and advantages. Business Broker. https://business-broker.com.ua/blog/tsyfrova-transformatsiia-v-biznesi-kliuchovi-aspekty-ta-perevahy/?utm_source=chatgpt.com
Diachuk, I. V. (2024). The use of social media in digital marketing: Trends and strategies in the university environment. Economy and Society, (61), 891. https://doi.org/10.32782/2524-0072/2024-61-144
Mostova, A. (2022). Evaluation of business promotion effectiveness in social networks. Economy and Society, (43). https://doi.org/10.32782/2524-0072/2022-43-27
Proskura, V. F., & Bilak, R. H. (2017). Methodological approaches to risk management. Economy and Society, (9), 102. https://economyandsociety.in.ua/journals/9_ukr/102.pdf.
Sablukov, Yu. O. (2023). Innovative business: Adaptation to consumer preferences and new marketing strategies. Actual Problems in Economics, (270), 6-14. https://doi.org/10.32752/1993-6788-2023-1-270-6-14
Semenda, O. V., & Korman, I. I. (2025). Analysis of social network indicators as a basis for scientific research in creating marketing strategies. Current issues of economic sciences, (7). https://doi.org/10.5281/zenodo.14791838
Additional Files
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
This work is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0)
