The main goal of this paper is to research differences that start to change consumer behavior in the digital era since the advent of COVID 19. The events associated with the pandemic that led to increased social distance and complete lockdown undoubtedly affect not only the economic situation territories and countries in general, but also on the behavior of each individual. The situation that has arisen has forced more and more consumers to meet their needs with the help of digital tools, and this process has some special characteristics. The article shows the results of analytical and comparative analysis of the changes in consumer behavior in the digital space since the onset of the pandemic. It was researched trends change consumer demand in the study categories via Google Trends. The practical study was conducted on the basis of the analysis of changes in consumer behavior and their preferences in the direction of recreation and tourism, where the data of a sociological survey of Azerbaijani citizens to study the potential impact of COVID-19 on the tourism industry was used. The survey was conducted on April 13-21, 2020 by a team of researchers from the University of Northampton (UK), the National Institute of Geophysics, Geodesy and Geography – Bulgarian Academy of Sciences, University of National and World Economy (Bulgaria). According to the results of the study, conclusions were drawn that give new challenges to the development of marketing in the digital environment, namely: digital tools have had rapid unpredictable development since the COVID-19 pandemic, and remain as high level in demand after easing restrictive measures; entrepreneurship was not ready for such quick transformation; after the first interactions in digital space, the consumer has a stable experience of interaction with specific brands, but they disappoint the expectations of consumers in a personalized contact. Based on the conclusions, an algorithm for building relationships with consumers and increasing their level of loyalty in the digital environment is proposed. The results of this study could be used in the implementation of marketing goals of representatives of different levels of business structures, governments.
Government interventions has long been a question of great interest in a wide range of fields. Scholars have been debating the scope and degree of intervention in the banking sphere that considers government capabilities. This study set out to provide some empirical evidence on the intertwined relationship between government interventions carried out through banking regulations and trust in the European Central Bank (ECB), taking into account the mediating role of financial system stability. A combination of quantitative approaches was used in the data analysis. The confirmatory factor analysis in STATISTICA was applied for hypothesis development, followed by the structural equation modeling (SEM) based on the statistical package SEPATH used for research hypothesis testing. This study aims to contribute to this growing area of research by exploring that financial system stability mediates the path between banking regulation and trust in central banking. It was found that stricter government regulatory and supervisory interventions in the banking sphere are changing the imprudent financial institutions’ behavior, however, negatively accomplishing financial development financial markets and institutions. Meanwhile, both financial system stability and banking regulations contribute to trust in the ECB. The research findings add to the growing body of research that indicates that stricter government regulatory and supervisory interventions in the banking sphere drive trust violations in central banking upon the causal chain by virtue of financial development financial markets and institutions deterioration.
Promoting innovation requires efficient financial regulations ensuring well-functioning financial markets that play critical roles in reducing financing costs, allocating scarce resources, evaluating innovative projects, and managing risks. The author indicated that rigorous empirical studies that link financial regulation and innovation development are sparse. Thus, this study aims to provide some empirical evidence on linking government interventions, particularly by banking regulations and supervision, and a country’s innovative growth from the perspective of the mediating role of financial development. Specifically, this paper demonstrates that the development of financial markets and financial institutions mediates the path between financial regulation and innovation development in Azerbaijan. The structural equation modeling technique using the statistical package PATH additionally to confirmatory factor analysis in STATISTICA was applied to analyze the data. Contrary to expectations, this study did not find a significant direct impact of changes in regulatory benchmarks related to total CAR and FX loans to total loans on Azerbaijan’s rank in the Global Innovation Index and the volumes of high-technology exports. One of the more significant findings to emerge from this study is that the government regulatory and supervisory interventions in the banking sphere are changing the imprudent financial institutions’ and markets’ behavior. Thereby it contributes to establishing a better developed and sound financial system in terms of their access, depth, and efficiency. Meanwhile, financial institutions’ and markets’ development contributes to the country’s innovative development. This combination of findings provides some support for the conceptual premise that reduction or elimination of government power in the financial markets and institutions leads to exacerbating systemic risk and destabilization of the financial system that could not build extensive innovation capacities to foster growth. Keywords: banking regulation and supervision, Global Innovation Index (GII), high-technology exports, financial institutions development, financial markets development.
The increase in international trade, the active development of integration and convergence processes in the global financial market, the rapid implementation of digital technologies in various spheres of life, as well as the growth of cross-border organized crime have led to increased shadow economic activity and improved forms and methods of money laundering. Under these conditions, it is essential to assess the risk of money laundering adequately through financial institutions and determine its dynamics in the future. The primary purpose of the study is to build a predictive neural network model to define the dynamics of the risk of using banking institutions to legalize criminal funds. The methodological tools of the study were methods of exponential smoothing (using exponential trend, linear Holt model and decaying trend), artificial neural network model (multilayer perceptron MLP-architecture using BFGS algorithm, radial basis function of RBF-architecture usage). Assessment and forecasting of money laundering risk through financial institutions is based on 13 relevant indicators, the source of which is internal financial statements. The object of research is the chosen 20 Ukrainian banks. Investigation of the forecast model in the paper is carried out in the following logical sequence: the forecast values of relevant factors influencing the risk of using financial institution in shadow operations are determined; training of neural networks according to the formed sample of indicators; forecasting the risk of using financial intermediaries of Ukraine for the legalization of criminal proceeds for the period 2020-2025 based on constructed neural networks. The calculations showed that by 2025 only 40% of the analyzed banks in Ukraine would be able to reduce their participation in the legalization of illegally obtained funds. The quality of the constructed forecasts is high, as the efficiency coefficient for most constructed models ranges from 0.9 to 1.0. The results of the study can be useful for the management of financial institutions to take a set of preventive measures in the system of internal financial monitoring, as well as scientists who deal with this issue.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.