DYNAMIC MODEL OF CONSUMER TRUST FORMATION TOWARDS COMPANY PRODUCTS UNDER THE INFLUENCE OF ADVERTISING ACTIVITY

Keywords: marketing, advertising activities, product portfolio, passive demand products, consumer trust, consumer coverage, target segment, indirect revenue, elasticity coefficient, equilibrium state of the dynamic system, monotonic convergence, dynamic model

Abstract

An analysis of current scientific developments regarding marketing methods for product promotion in the market, particularly advertising activities, has been conducted, taking into account economic-mathematical support. The analysis identified the main shortcomings and debated issues of current scientific developments on marketing methods of product promotion, especially in advertising activities. These include limited sample sizes in studies, which are not always representative and create methodological problems in measuring the effectiveness of advertising campaigns; concerns about consumer privacy due to the collection of personal data for personalization; the opacity of machine learning algorithms complicating the understanding of their operation and decision-making processes; and the sensitivity of stochastic modeling using Bayesian approaches to the choice and justification of input parameters, which affects the final calculation results. Additionally, there are significant technological challenges associated with implementing existing methods and models into the operations of any enterprise, which can hinder practical application and scalability. The study of the structural-functional relationships in forming consumer trust in the products of passive demand enterprises in the processing industry through advertising activities has shown that the increase or decrease of the target indicator is a result of the interplay of multiple factors: advertising effectiveness, the level of meeting consumer expectations, and the share of the target audience reached. The proposed dynamic model allowed for the assessment of the development trajectory of the economic system based on these indicators, with a justification for the duration of the advertising campaign based on the coverage of target market segments. The scientific novelty of this work lies in the economic-mathematical model for forming consumer trust in company products through advertising activities, based on economic dynamics tools. Unlike existing models, it considers the factor of meeting consumer expectations and allows for the justification of the advertising campaign duration based on the coverage of target market segments. This model provides a more holistic and realistic approach to understanding and predicting the impact of advertising on consumer trust, which can be crucial for developing effective marketing strategies and improving overall business performance.

References

Boerman, S. C., & van Reijmersdal, E. A. (2022) Disclosing influencer marketing: A clear path to consumer understanding? Journal of Advertising, no. 51(1), pp. 11–27.

Kapitan, S., Silvera, D. H., & Laroche, M. (2021) Do influencer endorsements reduce prejudice toward minorities? Journal of Consumer Research, no. 48(4), pp. 755–775.

Rietveld, R., van Dolen, W., Mazloom, M., & Hout, R. (2022). Creating brand loyalty through user-generated content: The role of perceived value in the context of social media. Journal of Business Research, no. 145, pp. 1–12.

Marhasova V. et al. (2020) Problems of competitive development of industry in Ukraine. European Journal of Accounting, Finance & Business, no. 14, 24.

Shmygol, N., Galtsova, O., Yelisyeyeva, O., & Belozertsev, V. (2021, November). Priority areas of state regulation of the industry in the context of sustainable development. In IOP Conference Series: Earth and Environmental Science (Vol. 915, No. 1). IOP Publishing.

Xu, Y., Chen, Z., & Li, Y. (2022) Understanding the impact of interactive advertising on consumer engagement: A meta-analysis. Journal of Interactive Marketing, no. 56, pp. 35–54.

Zhang, Y., & Wang, S. (2023) The effectiveness of personalized video advertisements in digital marketing. Journal of Marketing Science, no. 15(2), pp. 142–160.

Kravchenko, T. A., & Zozulia, O. V. (2022) Analiz povedinkovykh reaktsii spozhyvachiv na tsyfrovu reklamu za dopomohoiu klasternoho analizu. Naukovi pratsi Odeskoho natsionalnoho universytetu imeni I. I. Mechnykova. Ekonomika, no. 34(5), pp. 87–99.

Luo, X., Andrews, M., Fang, Z., & Phang, C. W. (2021). Mobile targeting. Management Science, no. 67(3), pp.1588–1608.

Gudz, P., Shmygol, N., Gudz, M., Cherniavska, O., & Cherniavska, Y. (2022). Economy Digitalization in Paradigm of Reproductive Process. In Proceedings of the 5th International Scientific Congress Society of Ambient Intelligence (Vol. 1, pp. 67–75).

Shmygol N. M. (2019) Introduction of elements of corporate social responsibility in the company management system: strategies, income, efficiency. Bulletin of Zaporizhzhya National University (Economic Sciences), no. 1 (4), pp. 212–214.

Published
2024-06-26
How to Cite
Shmygol, N., Byrskyi, V., & Antoniuk, A. (2024). DYNAMIC MODEL OF CONSUMER TRUST FORMATION TOWARDS COMPANY PRODUCTS UNDER THE INFLUENCE OF ADVERTISING ACTIVITY. Change Management and Innovation, (10), 42-45. https://doi.org/10.32782/CMI/2024-10-8