Перегляд за Автор "Kuchina, S. O."
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Документ The Analysis of Common Mistakes in Preparing a Business Plan(ВД "ІНЖЕК", 2016) Kuchina, S. O.; Kitchenko, OlenaWhen writing a business plan, there arise a number of unresolved issues related to its consequent implementation, which is of considerable interest and determines the relevance of the study. The need to develop theoretical and methodological support for drafting business plans has determined a range of issues that require immediate resolution at stages of its development, in particular at the stage of creating a new business ("start up"); the stage of compiling financial documents; the stage of risk assessment and developing strategies to overcome them. Based on the analysis and systematization of the existing definitions, the notion of "business plan" is generalized and a methodological scheme of its building is demonstrated. The comparison of a general structure of a business plan proposed by EBRR and UNIDO is considered and presented. It is found that common mistakes that occur at compiling a business plan include: mistakes associated with evaluation of the demand for products; mistakes at setting prices and choosing a further pricing policy; mistakes associated with underestimation of possible risks arising in the course of the business plan implementation should be mentioned. The obtained results can be applied by heads of enterprises and managers in various spheres of business and at making decisions on forming further strategies of the enterprise development.Документ The Creation of Dynamic Visual Objects as a Factor for Optimizing Advertisements in E-Commerce(Universitas Semarang, Indonesia, 2022) Sysoiev, Volodymyr Viktorovych; Kuchina, S. O.; Kitchenko, O. M.; Romanchik, T. V.; Kuchin, AlexandrThe aim of the study is to find ways to optimize advertising on Facebook product galleries and on Google. An experiment conducted as part of the study showed that the use of the dynamic optimization tool allows you to enrich existing feed data with additional 1st and 3rd party data and automatically compile visuals with additional information obtained from the feed and additional graphical overlays. The proposed method was tested on Facebook and Google with an analysis of click through rate, conversion rate and conversion cost indicators. The research results showed that the use of the dynamic optimization tool improves the effectiveness of online advertising, all the studied indicators has improved on both platforms. The Covid-19 pandemic has boosted the development of online retail and has created an urgent need to transform digital marketing tools. It has been established that in order to increase the conversion of sites and improve the quality of communication with the audience a deeper study of the behavioral characteristics of visitors of Internet resources, as well as high-quality visual content of the ad placements, are required. The results obtained complement to the few literature sources devoted to creating enriched feeds on various Internet companies, so the work is of significant interest for marketers and business owners who work in the field of e-commerce.