issue #4 (Volume 14 2018)

The article presents a methodology for developing the marketing strategy for the adoption of optimal managerial solutions by means of smart analytics. Such issues as marketing strategy modeling methods; software products based on the integration of smart analytics; optimal choosing electro mobile and others have been considered. The main subject of the article is constructing an optimal decision-making model using a combination of classical statistical and mathematical methods and models, as well as modern information technologies including methods of smart analytics. The conceptual scheme of the effective marketing management has been created according to the structural components: information, statistical, mathematical, analytical and technological etc. The structure and main features of every component have been considered in detail. The created conceptual scheme of the effective management was demonstrated through the simple example of optimal choosing electro mobile. To investigate sales on electro mobiles Ukrainian market a set of factors has been considered. According to them the correlation and cluster analyses have been conducted. The main factors, which are the most influent for the price of electro mobile on Ukrainian market have been revealed. All considered models of electro cars have been divided onto three groups depending on the characteristics price–quality.

The article contains a thorough study of tourist flows in Ukraine during the last 18 years. The tendencies of the development of international tourism during the last 20 years and their influence on the development of tourism in Ukraine have been explored. Particular attention is paid to the analysis of inbound tourist flows. The negative dynamics of tourist arrivals in Ukraine led to the construction of a forecast model for the development of this component of tourism activity with the aim of an objective assessment of future tourist arrivals and the adoption of effective management decisions on improving the situation of tourism in Ukraine. Tourist destinations today are rigorously competing for consumer interest in tourism products. In view of this, tourist facilities operating in the tourist market place particular emphasis on the elements of tourism marketing (product, price, distribution, advertising, human capital, actual data, processes).
Modern forecasting systems and methods have been used to build a forecast of tourism development in Ukraine and, in particular, arrivals of foreign tourists to Ukraine. An analytical forecasting model was built by the system of CurveExpert in the form of a polynomial function, analytical forecasting models were built by the system of computer algebra Maple in the form of piecewise linear and piecewise polynomial functions. Numerical prediction models in the MathCAD system using different types of spline-interpolation and predictive functions have been constructed. A comparative analysis of the results of forecasting in different systems was carried out. The results of the comparative analysis give confidence in the development of inbound tourism in Ukraine.

FinTech startups and services are one of the most dynamic segments of the modern economy. New financial technologies have already attracted many investors and form millions of budgets. Changing the traditional financial services concept, FinTech companies formed a new niche within the financial services market, the dynamic development of which determines the relevance of the development and implementation of an effective regulatory and oversight system.
The purpose of the article is to develop an economic and mathematical model for forecasting the development of the FinTech market on the example of Ukraine. In order to study the development of the FinTech industry, a multiple regression model was presented. The model describes the dependence of the total investment value of FinTech from venture investments in financial technology, venture investments in other technologies and venture investments in online lending. Based on this model, the effect of attracting investments with new FinTech projects on the total volume of investments in the industry was clarified. According to the model, with a change in investments in FinTech by 1%, the total rate of venture investments decreases by 0.03, funds in new projects of other companies grow by 0.05, and venture investments in online lending increase by 0.89. According to the analysis of regulatory legislation in the foreign countries of the FinTech services sphere, it was found that the regulation of most of the risks associated with the development of FinTech services falls within the competence of different supervisory authorities, requiring cross-sectoral cooperation between public institutions.

Commodities are products with low economic value, but when related to experience, they can turn into profitable businesses. In the present work, the authors seek to understand consumer behavior in the coffee industry, guided by the following research question: How can customer experience affect price perception? To answer this question, the researchers conducted an analysis using the four realms of experience from Pine and Gilmore (1999, 2011) – entertainment, education, esthetics, and escapist – and how they behave according to different kinds of customer experience, as well as their relation to price perception. To understand this, the authors conducted qualitative research with 40 consumers in two important coffee companies: Starbucks and Costa Coffee. The coffee shops analyzed are located in the city of Marbella, Spain. The results of this research show that customers are aware of the price discrepancy, but still frequenting coffee shops for different experiences according to their interests. This work is groundbreaking because of the analysis of the four realms of experience and its correlation with the price perception. The authors also introduced to the customer experience field the analysis of the four realms in the coffee shop industry. Finally, from the research results, the authors suggest various managerial practices that can improve customer experience and the perception of prices.

Banks and financial services providers can make use of electronic tools in marketing their products and services. The role of e-banking as a marketing tool has not generated a lot of interests by scholars and researchers in this area. This paper examines and discusses the usage of e-banking in marketing the products and services of banks. It illustrates that e-banking could be used for marketing by banks, financial institutions and services providers, and other businesses. Putting together techniques on ebanking, marketing and technology, there is a favorable tri-existence of cross and up selling, cross-marketing and cross cost cutting advantages for financial services providers using e-banking tools in marketing activities. Using Chi-square technique to testthe hypothesis, the paper affirms that e-banking can be used as a marketing tool in marketing the products and services of banks and financial services providers. Three questions were ditched out to students who have at least studied a course in e-banking, marketing of financial services and/or researched on digital banking, thus underlining the respondents’ acquaintances with and knowledge in e-banking concepts as key in the research. Students – of course young, whatsapps and Google classroom media used to collect data are attributes that entertain favorably the application of e-banking as marketing tool.