Various national and global media outlets have daily reports and updates concerning the Coronavirus pandemic, reporting on the number of infected, quarantined, hospitalized and deaths, as well as new policy measures and restrictions introduced and implemented. While traditional media still plays a significant role in shaping risk perception, social media can be considered even more influential. The aim of the paper is to reflect on the impact of social media exposure during COVID-19 on perceived threat and efficacy by the implementation of PMT theory through EPPM model. We point to the interaction between the EPPM model and SDT (self-determination) theory in ‘Stay at home’ behaviour. The paper ponders on the usefulness of social media in achieving better preventive results among people. Social media platforms’ immense potential in forming peoples’ opinions and risk perceptions calls for crisis communication management on the part of governments, Security and Reconnaissance staff, and policymakers. Joining forces with leading scientists from various domains, such as epidemiology, governance, economy, and psychology, should create strong, potent and persuasive content tailored to fit the social media format and healthcare protection campaigns. The news should deliver the message clearly and reliably, following the suggestions of the EPPM model standard. In the instance of the ‘Stay at home’ campaign that promotes abiding with social distancing recommendations, experts should combine appropriate images, data and information according to fear-driving model, and provide reliable guidelines concerning protective measures citizens can take to ensure safety. Apart from freight inciting strategy, propaganda should focus on educating and emphasizing the effectiveness of complying with the norm.

Considering how communities perceive the threat and risks of COVID-19, it is essential to examine how emotional regulation stimulated through intrinsic and extrinsic incentive mechanisms via social media can reinforce ‘Stay at home’ intentions. The conceptual framework was developed using the elements of the Extended Parallel Process Model (EPPM). A self-reported questionnaire was used to measure individuals’ intention to stay at home during the pandemic based on the perceived locus of causality as a part of self-determination theory. The empirical research was conducted on a sample of 306 USA respondents. The study results indicate that both components of the EPPM—efficacy and threat—positively affect ‘stay at home’ intentions. Moreover, a positive effect of efficacy on threats was found, as was a moderating effect of threats on the relationship between efficacy and the intention to stay at home. Meanwhile, the influence of social media exposure on threats and behavioral intentions was not significant. People are likely to stay at home as a preventive measure during COVID-19 if there is enough threats and efficacy. However, the abundance of information and opinions in social media can lead to a decreased perceived threat and might disrupt the acceptance of preventive actions.

The article presents blockchain technology for developing national digital economy, efficiency of digitalization and basic principles of digitalization, and a set of blocks requiring material resources. The purpose of the article is to study features of digital economy development and propose application of blockchain technology in national economy sphere. Research methods: The instrumental and methodical apparatus of research based on application, in framework of a systematic approach, general scientific research methods. Implementing blockchain technology in financial system at micro-macro degrees, insurance system, system of government, electron trade system, industrial system, intellectual property account system, education system, health care system was analyzed in this article. Organizing in perfect way the operations to implement the digital economy in Uzbekistan, and develop and establish large financial projects at the state level, moreover, illustrated in details importance of using blockchain technology in national economy industries while developing and establishing large financial projects at the state level.

Purpose: this article analyzes some issues of forming a modern national innovation system in the Republic of Uzbekistan as a driver of economic growth. Methods: the research tools are based on the application of General scientific research methods in the framework of a systematic approach: logical and situational analysis, expert assessments, observation, grouping, comparison. These tools were used in various combinations at different stages of the study, which allowed us to confirm the scientific consistency of the final results, conclusions and proposals. Conclusion: the authors conducted a systematic analysis of the methodology and approaches to the definition of the category “national innovation system”, resulting in the author’s definition of this definition. The structure of the modern national innovation system is studied by analyzing its structural elements. The place of the most significant of them in the structure of the national innovation system is determined. State regulation in the field of innovation in the Republic of Uzbekistan is considered, and the external and internal functions of the innovation system of Uzbekistan are formulated.

The target article analyzed some issues of the formation of a modern competitive national innovative system in the Republic of Uzbekistan. The effective and methodical tools of the research are based on the application, in the framework of a systematic approach of general scientific research methods: logical and situational analysis, expert assessments, questionnaires, observation, interviewing, groupings, and comparison. The article specified and supplemented the theoretical and methodological provisions of the theory of the formation of the innovative national model. The authors proved that the existing mechanism for managing the scientific-research and innovative activity in the country does not meet the requirements of competitiveness based on the systematic analysis of the NIS elements of Uzbekistan and innovative development and its relationships. It is crucial to formulate an entirely universal and effective national innovative system that is adequate to the growing demand for innovations necessary for areas of the national economy, offering support for the innovative activity at each phases of the innovative cycle. Anticipated increase in demand and cost escalation of innovations, incorporating extra actions to encourage foreign direct investments, will stimulate the processes of structural change of the economy in the domain of high-technological sectors increase.

The article presents a systematic analysis of the natural and economic potential of the national economy of the Republic of Uzbekistan. The research methodology is based on the use of dialectical logic and a system-structural approach. General scientific methods and techniques were used in the work: scientific abstraction, grouping, qualitative expert assessments, quantitative assessments, comparative analysis and synthesis. Based on the study of trends in the development of the world economy and technologies of the future, the author proves that when choosing priority areas in economic sectors, the emphasis should be placed on those areas and technologies that will give the maximum effect for resource conservation, the growth of competitiveness of domestic products, sustainable employment, reduction of transaction costs, growth of human capital. During the discussion of the results of the study, the method of scenarios was used, which allows combining factors and conditions of development within a limited number of alternative models of economic growth, and using modern model analytical tools to assess the most likely consequences of their implementation. In conclusion, it is concluded that the considered scenarios represent extreme hypothetical directions of the long-term development of the national economy and determine the framework within which optimal solutions should be sought.