The intention of the paper is to consider the role of technologies used to overcome the COVID-19’s challenges in higher education. On investigating, it has been found that the digital strategies utilizing innovation technologies help students to adapt to pandemic consequences. This study enlightens the various technologies that assist systems of healthcare and education in diverse aspects to outlive against COVID-19. Furthermore, the technological shift of world economy that happened during the pandemic and its influence in the society is discussed. Besides the considered innovation technologies, this paper also deals with changes that have taken place in education system of Kazakhstan in pandemic circumstances. Alongside our suggested solution for further educational process issues is also presented.

A detailed review of the literature is done on COVID-19, digital technologies in education, blended learning using appropriate keywords on SCOPUS, Springer, Science Direct, and Google Scholar. To get insights some relevant sites and blogs are also taken into account. We have identified technologies used in Kazakhstan that play an important role now.

There have been chosen exploratory and conclusive research design. Fifty-nine students provided qualitative responses; ninety-eight students and graduates participated in quantitative survey. The results of study has shown students’ increased awareness concerning blended learning.

The scientific novelty lies in the description of the experience gained by higher schools during the quarantine. We believe that in the future, blended learning should be used largely. The innovations in the learning process cover two areas. The first is related to software used. It is like creation of a virtual university that facilitates communication between students and teachers. The second area correlates with content, without which any innovation will fail.

With the advent and active development, social networks have gained the attention of a million audience. Now it is difficult to imagine a person who does not have a profile in at least one social network. The use of social media has become a daily routine: some use sites and applications to maintain existing social connections, others - to find people with similar interests, views, activities or other motivating factors [1].

The purpose of this study is to establish the factors that influence the level of perception of the message by the audience in social networks.

In this work, a quantitative research method is used. The relationships were established using correlation analysis. To analyze the data obtained, the SmartPLS software was used, which makes it possible to highlight the characteristics that have the greatest impact on the manifestation of initiative behavior.

The novelty of the research lies in the fact that for the first time the factors influencing the level of perception of messages from Kazakhstani opinion leaders by the audience in social networks were studied.

The results of this study are of high theoretical significance, as they can be used in teaching disciplines such as Internet marketing, digital marketing, consumer behavior and strategic marketing.

In addition, this study is notable for its practical benefits, since the conclusions drawn contribute to the formation of a competent online marketing strategy in the enterprise

The purpose of the study is to identify new, alternative directions for the development of GDP and individual industries in the Republic of Kazakhstan.

Methodology - Applying a limited number of predictors and using obvious patterns, it is possible to build statistically significant models of economic development in a country or region. In the case of Kazakhstan, such models have shown their practical failure. This study proposes an alternative approach aimed at covering as many predictors as possible and abandoning a priori theories and judgments.

In practical terms, the compression (regularization) of predictor set was carried out using the LASSO method (least absolute shrinkage and selection operator). The statistical significance of the selected predictors was investigated using the least squares method. The models were improved using the backward elimination method.

Models of development of GDP, stock market and civil aviation of the Republic of Kazakhstan have been built. The research data frame consists of 8 blocks: socio-demographic indicators, living standards, labor market and wages, prices, national economy, real sector of the economy, trade, financial system, as well as data on the capitalization of the Kazakhstan Stock Exchange.

Novelty (value) of the research - models have been developed for working with high-dimensional data, which are features of developing countries.

Results of the study - according to the results of the study, the stock market index turned out to be sensitive to a wide range of social and macroeconomic indicators: population growth, unemployment, poverty, inflation, investment, devaluation. Our conclusion: the development of the stock market does not require any specific financial measures, it is necessary to deal with the economy as a whole. The volumes of transactions in corporate securities do not have stable external predictors. The main indicators of the republic's civil aviation have stable external predictors. Passenger turnover, passenger dispatch directly depend on: unemployment rate, wages, GDP per capita, various types of services and products, money supply. There are no external predictors for a separate type of aviation work - cargo transportation. Consequently, positive results can be obtained by reforming this particular segment of services.

Every destination in the world tries to create affordable conditions for tourists to get the maximum benefit from international tourism and one of these conditions is accessibility, which refers to the visa policy of a country. An effective and appropriate visa policy makes travel destinations more attractive and easily accessible to visit. This research focuses on the visa policy of Central Asian country – the Republic of Kazakhstan and reveals several problems related to it, such as lack of information on the visa application process, especially on e-visa, raw systemized visa and migration portal, a long list of visa-needed countries, plenty of refusals in invitation letters by Migration Police and existence of huge visa restrictions for some countries. The current visa policy makes the Republic of Kazakhstan less open to foreigners and less competitive among other countries.

Based on a literature review on visa policy and its effects on the economy and tourism sector in a destination and by using comparative analysis of visa policies of two Central Asian countries – Kazakhstan and Uzbekistan, several problems that affect inbound tourism, as well as recommendations for improvement of visa policy for Kazakh government are discussed in this research.